Debian Med Project
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Summary
Biology
Debian Med bioinformatics packages

This metapackage will install Debian packages for use in molecular biology, structural biology and other biological sciences.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Med to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Med mailing list

Links to other tasks

Debian Med Biology packages

Official Debian packages with high relevance

abacas
??? missing short description for package abacas :-(
Versions of package abacas
ReleaseVersionArchitectures
bullseye1.3.1-9all
trixie1.3.1-9all
bookworm1.3.1-9all
forky1.3.1-10all
sid1.3.1-10all
Debtags of package abacas:
roleprogram
Popcon: 5 users (33 upd.)*
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License: DFSG free
Git
The package is enhanced by the following packages: abacas-examples
Please cite: Samuel Assefa, Thomas M. Keane, Thomas D. Otto, Chris Newbold and Matthew Berriman: ABACAS: algorithm-based automatic contiguation of assembled sequences. (PubMed,eprint) Bioinformatics 25(15):1968-1969 (2009)
Topics: Probes and primers
abpoa
??? missing short description for package abpoa :-(
Versions of package abpoa
ReleaseVersionArchitectures
bookworm1.4.1-3amd64,arm64,ppc64el
forky1.5.6-1amd64,arm64,ppc64el
trixie1.5.3-1amd64,arm64,ppc64el
sid1.5.6-1amd64,arm64,loong64,ppc64el
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Please cite: Yan Gao, Yongzhuang Liu, Yanmei Ma, Bo Liu, Yadong Wang and Yi Xing: abPOA: an SIMD-based C library for fast partial order alignment using adaptive band. Bioinformatics 37(15):2209–2211 (2021)
abyss
??? missing short description for package abyss :-(
Versions of package abyss
ReleaseVersionArchitectures
sid2.3.10-2amd64,arm64,loong64,ppc64el,riscv64,s390x
trixie2.3.10-1amd64,arm64,ppc64el,riscv64,s390x
forky2.3.10-2amd64,arm64,ppc64el,riscv64,s390x
bullseye2.2.5+dfsg-1amd64,arm64,armhf,i386
bookworm2.3.5+dfsg-2amd64,arm64,mips64el,ppc64el,s390x
Debtags of package abyss:
roleprogram
Popcon: 7 users (34 upd.)*
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License: DFSG free
Git
Please cite: Shaun D. Jackman, Benjamin P. Vandervalk, Hamid Mohamadi, Justin Chu, Sarah Yeo, S. Austin Hammond, Golnaz Jahesh, Hamza Khan, Lauren Coombe, Rene L. Warren and İnanç Birol: "ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter". (PubMed,eprint) Genome Research 27(5):768-777 (2017)
Registry entries: Bio.tools  SciCrunch  Bioconda 
Topics: Sequence assembly
acedb-other
??? missing short description for package acedb-other :-(
Versions of package acedb-other
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sid4.9.39+dfsg.02-9amd64,arm64,armhf,i386,ppc64el,riscv64,s390x
bookworm4.9.39+dfsg.02-7amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye4.9.39+dfsg.02-5amd64,arm64,armhf,i386
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biologynuceleic-acids
fieldbiology, biology:bioinformatics
roleprogram
scopeutility
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License: DFSG free
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Please cite: L. D. Stein and J. Thierry-Mieg: AceDB: a genome database management system. Computing in Science and Engineering 1(3):44-52 (1999)
Registry entries: Bio.tools 
adapterremoval
??? missing short description for package adapterremoval :-(
Versions of package adapterremoval
ReleaseVersionArchitectures
forky2.3.4-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye2.3.1-3amd64,arm64,armhf,i386
sid2.3.4-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm2.3.3-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie2.3.4-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
upstream3.0.0
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The package is enhanced by the following packages: multiqc
Please cite: Mikkel Schubert, Stinus Lindgreen and Ludovic Orlando: AdapterRemoval v2: rapid adapter trimming, identification, and read merging. (PubMed,eprint) BMC Research Notes 9:88 (2016)
Registry entries: SciCrunch 
adun-core
??? missing short description for package adun-core :-(
Versions of package adun-core
ReleaseVersionArchitectures
sid0.81-15amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky0.81-15amd64,arm64,armhf,i386,ppc64el,riscv64,s390x
trixie0.81-15amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm0.81-14amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye0.81-14amd64,arm64,armhf,i386
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Please cite: Michael A. Johnston, Ignacio Fdez. Galván and Jordi Villà-Freixa: Framework-based design of a new all-purpose molecular simulation application: The Adun simulator. (PubMed) J. Comp. Chem. 26(15):1647-1659 (2005)
aegean
??? missing short description for package aegean :-(
Versions of package aegean
ReleaseVersionArchitectures
sid0.16.0+dfsg-5amd64,arm64,armhf,i386,loong64,ppc64el,s390x
forky0.16.0+dfsg-5amd64,arm64,armhf,i386,loong64,ppc64el,s390x
trixie0.16.0+dfsg-4amd64,arm64,armel,armhf,i386,ppc64el,s390x
bookworm0.16.0+dfsg-2amd64,arm64,armel,armhf,i386,mipsel,ppc64el,s390x
bullseye0.16.0+dfsg-2amd64,arm64,armhf,i386
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Please cite: Daniel S Standage and Volker P Brendel: ParsEval: parallel comparison and analysis of gene structure annotations.. (PubMed,eprint) BMC Bioinformatics 13(1):187 (2012)
Topics: Sequencing
aevol
??? missing short description for package aevol :-(
Versions of package aevol
ReleaseVersionArchitectures
bullseye5.0+ds-2amd64,arm64,armhf,i386
bookworm5.0+ds-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie5.0+ds-4amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
sid9.3.0-1amd64,arm64,loong64,ppc64el,riscv64,s390x
upstream9.4.0
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alien-hunter
??? missing short description for package alien-hunter :-(
Versions of package alien-hunter
ReleaseVersionArchitectures
bookworm1.7-10all
trixie1.7-10all
forky1.7-10all
sid1.7-10all
bullseye1.7-8all
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fieldbiology, biology:structural
roleprogram
scopeutility
useanalysing
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Please cite: Georgios S. Vernikos and Julian Parkhill: Interpolated variable order motifs for identification of horizontally acquired DNA: revisiting the Salmonella pathogenicity islands. (PubMed,eprint) Bioinformatics 22(18):2196-2203 (2006)
Registry entries: SciCrunch 
alter-sequence-alignment
??? missing short description for package alter-sequence-alignment :-(
Versions of package alter-sequence-alignment
ReleaseVersionArchitectures
forky1.3.4-8all
bookworm1.3.4-6all
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Please cite: Daniel Glez-Peña, Daniel Gómez-Blanco, Miguel Reboiro-Jato, Florentino Fdez-Riverola and David Posada: ALTER: program-oriented conversion of DNA and protein alignments". (PubMed,eprint) Nucl. Acids Res. 38(suppl 2):W14-W18 (2010)
Registry entries: Bio.tools  SciCrunch 
altree
??? missing short description for package altree :-(
Versions of package altree
ReleaseVersionArchitectures
sid1.3.2-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm1.3.2-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie1.3.2-2amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
forky1.3.2-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye1.3.1-10amd64,arm64,armhf,i386
Debtags of package altree:
fieldbiology, biology:bioinformatics
interfacecommandline
roleprogram, shared-lib
scopeutility
useanalysing, comparing
works-with-formatplaintext
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Please cite: Claire Bardel, Vincent Danjean and Emmanuelle Genin: ALTree: association detection and localization of susceptibility sites using haplotype phylogenetic trees. (PubMed,eprint) Bioinformatics 22(11):1402-1403 (2006)
Registry entries: SciCrunch 
amap-align
??? missing short description for package amap-align :-(
Versions of package amap-align
ReleaseVersionArchitectures
trixie2.2+git20080214.600fc29+dfsg-2amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
sid2.2+git20080214.600fc29+dfsg-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky2.2+git20080214.600fc29+dfsg-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm2.2+git20080214.600fc29+dfsg-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye2.2+git20080214.600fc29+dfsg-2amd64,arm64,armhf,i386
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fieldbiology, biology:bioinformatics
interfacecommandline
roleprogram
scopeutility
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works-with-formatplaintext
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Please cite: Ariel S. Schwartz and Lior Pachter: Multiple alignment by sequence annealing. (eprint) Bioinformatics 23(2):e24-e29 (2007)
Registry entries: SciCrunch  Bioconda 
Remark of Debian Med team: Dead upstream

The homepage of this project vanished as well as the Download area. An old unmaintained version remained at code.google.com. Please drop the maintainer a note if you have any news of this project.

ampliconnoise
??? missing short description for package ampliconnoise :-(
Versions of package ampliconnoise
ReleaseVersionArchitectures
bullseye1.29-9amd64,arm64,armhf,i386
bookworm1.29-10amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid1.29-17amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky1.29-17amd64,arm64,armhf,i386,ppc64el,riscv64,s390x
trixie1.29-15amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
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roleprogram
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Please cite: Christopher Quince, Anders Lanzen, Russell J Davenport and Peter J Turnbaugh: Removing Noise From Pyrosequenced Amplicons. (PubMed,eprint) BMC Bioinformatics 12:38 (2011)
Registry entries: Bio.tools  SciCrunch 
Topics: Sequencing
andi
??? missing short description for package andi :-(
Versions of package andi
ReleaseVersionArchitectures
trixie0.14-3amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bullseye0.13-3amd64,arm64,armhf,i386
bookworm0.14-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
forky0.14-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
sid0.14-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
upstream1.15
Popcon: 5 users (34 upd.)*
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Please cite: Bernhard Haubold, Fabian Klötzl and Peter Pfaffelhuber: andi: Fast and accurate estimation of evolutionary distances between closely related genomes. (PubMed,eprint) Bioinformatics 31(8):1169-1175 (2015)
Registry entries: Bio.tools  Bioconda 
Topics: Phylogenetics
anfo
??? missing short description for package anfo :-(
Versions of package anfo
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bullseye0.98-8amd64,arm64,armhf,i386
Popcon: 1 users (0 upd.)*
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License: DFSG free
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Registry entries: SciCrunch 
Topics: Sequencing
any2fasta
??? missing short description for package any2fasta :-(
Versions of package any2fasta
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trixie0.4.2-2all
bookworm0.4.2-2all
sid0.8.1-1all
forky0.8.1-1all
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Registry entries: Bioconda 
aragorn
??? missing short description for package aragorn :-(
Versions of package aragorn
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bookworm1.2.38-4amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid1.2.41-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky1.2.41-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie1.2.41-3amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bullseye1.2.38-4amd64,arm64,armhf,i386
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Please cite: Dean Laslett and Bjorn Canback: ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. (PubMed,eprint) Nucleic Acids Research 32(1):11-16 (2004)
Registry entries: SciCrunch  Bioconda 
Topics: Functional, regulatory and non-coding RNA
arden
??? missing short description for package arden :-(
Versions of package arden
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trixie1.0-6all
forky1.0-6all
bookworm1.0-5all
bullseye1.0-5all
sid1.0-6all
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Please cite: Sven H. Giese, Franziska Zickmann and Bernhard Y. Renard: Specificity control for read alignments using an artificial reference genome-guided false discovery rate. (PubMed,eprint) Bioinformatics 30(1):9-16 (2013)
Registry entries: SciCrunch 
Topics: Sequencing
ariba
??? missing short description for package ariba :-(
Versions of package ariba
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bullseye2.14.6+ds-1amd64,arm64
sid2.14.7+ds-12amd64,arm64,loong64,ppc64el,riscv64
trixie2.14.7+ds-7amd64,arm64,ppc64el,riscv64
forky2.14.7+ds-12amd64,arm64,loong64,ppc64el,riscv64
bookworm2.14.6+ds-5amd64,arm64,mips64el,ppc64el
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Please cite: Martin Hunt, Alison E. Mather, Leonor Sanchez-Buso, Andrew J. Page, Julian Parkhill, Jacqueline A. Keane and Simon R. Harris: ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads. (PubMed,eprint) Microbial Genomics 3 (2017)
Registry entries: SciCrunch  Bioconda 
art-nextgen-simulation-tools
??? missing short description for package art-nextgen-simulation-tools :-(
Versions of package art-nextgen-simulation-tools
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trixie20160605+dfsg-5amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
forky20160605+dfsg-5amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye20160605+dfsg-4amd64,arm64,armhf,i386
sid20160605+dfsg-5amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm20160605+dfsg-4amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
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Please cite: Weichun Huang, Leping Li, Jason R. Myers and Gabor T. Marth: ART: a next-generation sequencing read simulator. (PubMed,eprint) Bioinformatics 28(4):593-594 (2012)
Registry entries: SciCrunch  Bioconda 
artemis
??? missing short description for package artemis :-(
Versions of package artemis
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bullseye18.1.0+dfsg-3amd64
bookworm18.2.0+dfsg-3all
trixie18.2.0+dfsg-4all
forky18.2.0+dfsg-5all
sid18.2.0+dfsg-5all
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Please cite: Tim Carver, Simon R. Harris, Matthew Berriman, Julian Parkhill and Jacqueline A. McQuillan: Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data. (PubMed,eprint) Bioinformatics 28(4):464-469 (2012)
Registry entries: Bio.tools  SciCrunch  Bioconda 
Topics: Genomics
Screenshots of package artemis
artfastqgenerator
??? missing short description for package artfastqgenerator :-(
Versions of package artfastqgenerator
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trixie0.0.20150519-5all
forky0.0.20150519-6all
sid0.0.20150519-6all
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bookworm0.0.20150519-4all
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Please cite: Matthew Frampton and Richard Houlston: Generation of Artificial FASTQ Files to Evaluate the Performance of Next-Generation Sequencing Pipelines. (PubMed,eprint) PLOSone 7(11):e49110 (2012)
assembly-stats
??? missing short description for package assembly-stats :-(
Versions of package assembly-stats
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forky1.0.1+ds-8amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
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bullseye1.0.1+ds-3amd64,arm64,armhf,i386
bookworm1.0.1+ds-6amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
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Registry entries: Bioconda 
assemblytics
??? missing short description for package assemblytics :-(
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bullseye1.0+ds-2all
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trixie1.2.1+dfsg-2all
sid1.2.1+dfsg-2all
upstream1.2.2
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Please cite: Maria Nattestad and Michael C. Schatz: Assemblytics: a web analytics tool for the detection of variants from an assembly. (PubMed) Bioinformatics 32(19):3021-3023 (2016)
atac
??? missing short description for package atac :-(
Versions of package atac
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bookworm0~20150903+r2013-8amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie0~20150903+r2013-9amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
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The package is enhanced by the following packages: kmer-examples
Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
Registry entries: Bio.tools  SciCrunch  Bioconda 
ataqv
??? missing short description for package ataqv :-(
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forky1.3.1+ds-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
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bullseye1.2.1+ds-1amd64,arm64,armhf,i386
sid1.3.1+ds-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
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Please cite: Peter Orchard, Yasuhiro Kyono, John Hensley, Jacob O. Kitzman and Stephen C.J. Parker: Quantification, Dynamic Visualization, and Validation of Bias in ATAC-Seq Data with ataqv. (eprint) Cell Systems 10(3):2405-4712 (2020)
atropos
??? missing short description for package atropos :-(
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bullseye1.1.29+dfsg-1amd64,arm64,armhf,i386
forky1.1.32+dfsg-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
bookworm1.1.31+dfsg-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el
sid1.1.32+dfsg-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
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Please cite: John P. Didion, Marcel Martin and Francis S. Collins: Atropos: specific, sensitive, and speedy trimming of sequencing reads. (PubMed,eprint) PeerJ 5:e3720 (2017)
Registry entries: Bio.tools  Bioconda 
augur
??? missing short description for package augur :-(
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trixie24.4.0-1all
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sid24.4.0-3all
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upstream33.2.0
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augustus
??? missing short description for package augustus :-(
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bullseye3.4.0+dfsg2-2amd64,arm64,armhf,i386
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autodock
??? missing short description for package autodock :-(
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bullseye4.2.6-8amd64,arm64,armhf,i386
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autodock-vina
??? missing short description for package autodock-vina :-(
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Please cite: Oleg Trott and Arthur J. Olson: AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. (eprint) Journal of Computational Chemistry 31(2):455-461 (2010)
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autogrid
??? missing short description for package autogrid :-(
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avogadro
??? missing short description for package avogadro :-(
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Please cite: Marcus D Hanwell, Donald E Curtis, David C Lonie, Tim Vandermeersch, Eva Zurek and Geoffrey R Hutchison: Avogadro: An advanced semantic chemical editor, visualization, and analysis platform. (eprint) J. Cheminf. 4:17 (2012)
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axe-demultiplexer
??? missing short description for package axe-demultiplexer :-(
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baitfisher
??? missing short description for package baitfisher :-(
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Please cite: Christoph Mayer, Manuela Sann, Alexander Donath, Martin Meixner, Lars Podsiadlowski, Ralph S. Peters, Malte Petersen, Karen Meusemann, Karsten Liere, Johann-Wolfgang Wägele, Bernhard Misof, Christoph Bleidorn, Michael Ohl and Oliver Niehuis: BaitFisher: A Software Package for Multispecies Target DNA Enrichment Probe Design. (PubMed,eprint) Mol. Biol. Evol. 33(7):1875-1886 (2016)
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bali-phy
??? missing short description for package bali-phy :-(
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Please cite: Benjamin D. Redelings and Marc A. Suchard: Joint Bayesian Estimation of Alignment and Phylogeny. (PubMed,eprint) Systematic Biology 54(3):401-418 (2005)
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ballview
??? missing short description for package ballview :-(
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Please cite: Andreas Moll, Andreas Hildebrandt, Hans-Peter Lenhof and Oliver Kohlbacher: BALLView: a tool for research and education in molecular modeling. (PubMed,eprint) Bioinformatics 22(3):365-366 (2006)
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bamclipper
??? missing short description for package bamclipper :-(
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Please cite: Chun Hang Au, Dona N Ho, Ava Kwong, Tsun Leung Chan and Edmond S K Ma: BAMClipper: removing primers from alignments to minimize false-negative mutations in amplicon next-generation sequencing. (PubMed,eprint) Scientific Reports 7(1):1567 (2017)
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bamkit
??? missing short description for package bamkit :-(
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bamtools
??? missing short description for package bamtools :-(
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The package is enhanced by the following packages: multiqc
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bandage
??? missing short description for package bandage :-(
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The package is enhanced by the following packages: bandage-examples
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barrnap
??? missing short description for package barrnap :-(
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Topics: Functional, regulatory and non-coding RNA
bbmap
??? missing short description for package bbmap :-(
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bcalm
??? missing short description for package bcalm :-(
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Please cite: Rayan Chikhi, Antoine Limasset and Paul Medvedev: Compacting de Bruijn graphs from sequencing data quickly and in low memory.. (eprint) Bioinformatics 32(12):208 (2016)
bcftools
??? missing short description for package bcftools :-(
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beads
??? missing short description for package beads :-(
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Please cite: Olivier Langella and Michel Zivy: A method based on bead flows for spot detection on 2-D gel images. (PubMed) Proteomics 8(23-24):4914-8 (2008)
beagle
??? missing short description for package beagle :-(
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The package is enhanced by the following packages: beagle-doc
Please cite: Sharon R. Browning and Brian L. Browning: Rapid and Accurate Haplotype Phasing and Missing-Data Inference for Whole-Genome Association Studies By Use of Localized Haplotype Clustering. (eprint) The American Journal of Human Genetics 81(5):1084-1097 (2007)
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beast-mcmc
??? missing short description for package beast-mcmc :-(
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The package is enhanced by the following packages: beast-mcmc-examples
Please cite: Alexei J Drummond and Andrew Rambaut: BEAST: Bayesian evolutionary analysis by sampling trees. (PubMed,eprint) BMC Evol Biol 8(7):214 (2007)
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beast2-mcmc
??? missing short description for package beast2-mcmc :-(
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bedops
??? missing short description for package bedops :-(
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Please cite: Shane Neph, M. Scott Kuehn, Alex P. Reynolds, Eric Haugen, Robert E. Thurman, Audra K. Johnson, Eric Rynes, Matthew T. Maurano, Jeff Vierstra, Sean Thomas, Richard Sandstrom, Richard Humbert and John A. Stamatoyannopoulos: BEDOPS: high-performance genomic feature operations. (PubMed,eprint) 28(14):1919-1920 (2012)
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bedtools
??? missing short description for package bedtools :-(
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Please cite: Aaron R. Quinlan and Ira M. Hall: BEDTools: a flexible suite of utilities for comparing genomic features. (PubMed,eprint) Bioinformatics 26(6):841-842 (2010)
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belvu
??? missing short description for package belvu :-(
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Please cite: Gemma Barson and Ed Griffiths: SeqTools: visual tools for manual analysis of sequence alignments. (PubMed,eprint) BMC Research Notes 9:39 (2016)
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berkeley-express
??? missing short description for package berkeley-express :-(
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Please cite: Adam Roberts and Lior Pachter: Streaming fragment assignment for real-time analysis of sequencing experiments. (PubMed) Nature Methods 10(1):71–73 (2013)
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bifrost
??? missing short description for package bifrost :-(
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Please cite: Guillaume Holley and Páll Melsted: Bifrost – Highly parallel construction and indexing of colored and compacted de Bruijn graphs. (PubMed,eprint) bioRxiv 21(1):249 (2020)
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bio-eagle
??? missing short description for package bio-eagle :-(
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The package is enhanced by the following packages: bio-eagle-examples
Please cite: Po-Ru Loh, Pier Francesco Palamara and Alkes L Price: Fast and accurate long-range phasing in a UK Biobank cohort. Nature Genetics (2016)
bio-rainbow
??? missing short description for package bio-rainbow :-(
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Please cite: Zechen Chong, Jue Ruan and Chung-I. Wu: Rainbow: an integrated tool for efficient clustering and assembling RAD-seq reads.. (PubMed) Bioinformatics 28(21):2732-2737 (2012)
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bio-tradis
??? missing short description for package bio-tradis :-(
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bioawk
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biobambam2
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Please cite: Artem Babaian, Anicet Ebou, Alyssa Fegen, Ho Yin Jeffrey Kam, German E Novakovsky, Jasper Wong, Dylan Aïssi and Li Yao: bioSyntax: syntax highlighting for computational biology. BMC Bioinformatics 19(303) (2018)
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bitseq
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Please cite: James Hensman, Panagiotis Papastamoulis, Peter Glaus, Antti Honkela and Magnus Rattray: Fast and accurate approximate inference of transcript expression from RNA-seq data. (PubMed,eprint) Bioinformatics 31(24):3881-9 (2015)
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blasr
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Please cite: Gemma Barson and Ed Griffiths: SeqTools: visual tools for manual analysis of sequence alignments. (PubMed,eprint) BMC Research Notes 9:39 (2016)
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bowtie
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The package is enhanced by the following packages: bowtie-examples multiqc
Please cite: Ben Langmead, Cole Trapnell, Mihai Pop and Steven L Salzberg: Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. (eprint) Genome Biology 10:R25 (2009)
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bowtie2
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The package is enhanced by the following packages: bowtie2-examples multiqc
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boxshade
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bppphyview
??? missing short description for package bppphyview :-(
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bppsuite
??? missing short description for package bppsuite :-(
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brig
??? missing short description for package brig :-(
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Please cite: Nabil-Fareed Alikhan, Nicola K Petty, Nouri L Ben Zakour and Scott A Beatson: BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons. (PubMed,eprint) BMC Genomics 12:402 (2011)
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btllib-tools
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Please cite: Vladimir Nikolić, Parham Kazemi, Lauren Coombe, Johnathan Wong, Amirhossein Afshinfard, Justin Chu, René L. Warren and Inanç Birol: btllib: A C++ library with Python interface for efficient genomic sequence processing. (eprint) Journal of Open Source Software 7(79) (2022)
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busco
??? missing short description for package busco :-(
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bustools
??? missing short description for package bustools :-(
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Please cite: Páll Melsted, A. Sina Booeshaghi, Fan Gao, Eduardo Beltrame, Lambda Lu, Kristján Eldjárn Hjorleifsson, Jase Gehring and Lior Pachter: Modular and efficient pre-processing of single-cell RNA-seq.. BioRxiv :673285 (2019)
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bwa
??? missing short description for package bwa :-(
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Please cite: Heng Li and Richard Durbin: Fast and accurate short read alignment with Burrows-Wheeler transform. (PubMed,eprint) Bioinformatics 25(14):1754-1760 (2009)
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canu
??? missing short description for package canu :-(
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Please cite: Sergey Koren, Brian P. Walenz, Konstantin Berlin, Jason R. Miller and Adam M. Phillippy: Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation.. Genome Res. (2017)
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Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
cassiopee
??? missing short description for package cassiopee :-(
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cat-bat
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Please cite: F. A. Bastiaan von Meijenfeldt, Ksenia Arkhipova, Diego D. Cambuy, Felipe H. Coutinho and Bas E. Dutilh: Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT. (PubMed,eprint) Genome Biology 20(1):217 (2019)
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cct
??? missing short description for package cct :-(
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Please cite: Jason R Grant, Adriano S Arantes and Paul Stothard: Comparing thousands of circular genomes using the CGView Comparison Tool. (PubMed,eprint) BMC Genomics 13:202 (2012)
cd-hit
??? missing short description for package cd-hit :-(
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cdbfasta
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centrifuge
??? missing short description for package centrifuge :-(
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Please cite: Daehwan Kim, Li Song, Florian P. Breitwieser and Steven L. Salzberg: Centrifuge: rapid and sensitive classification of metagenomic sequences. (PubMed,eprint) Genome Research 26(12):1721-1729 (2016)
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cgview
??? missing short description for package cgview :-(
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Please cite: Paul Stothard and David S. Wishart: Circular genome visualization and exploration using CGView. (PubMed,eprint) Bioinformatics 21(4):537-539 (2004)
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changeo
??? missing short description for package changeo :-(
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Please cite: Namita T. Gupta, Jason A. Vander Heiden, Mohamed Uduman, Daniel Gadala-Maria, Gur Yaari and Steven H. Kleinstein: Link to publication (PubMed,eprint) Bioinformatics 31(20):3356-3358 (2015)
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chimeraslayer
??? missing short description for package chimeraslayer :-(
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The package is enhanced by the following packages: microbiomeutil-data
Please cite: Brian J. Haas, Dirk Gevers, Ashlee M. Earl, Mike Feldgarden, Doyle V. Ward, Georgia Giannoukos, Dawn Ciulla, Diana Tabbaa, Sarah K. Highlander, Erica Sodergren, Barbara Methé, Todd Z. DeSantis, The Human Microbiome Consortium, Joseph F. Petrosino, Rob Knight and Bruce W. Birren: Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. (PubMed,eprint) Genome Research 21(3):494-504 (2011)
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chromhmm
??? missing short description for package chromhmm :-(
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The package is enhanced by the following packages: chromhmm-example
Please cite: Jason Ernst and Manolis Kellis: ChromHMM: automating chromatin-state discovery and characterization. (eprint) Nature Methods 9(3):215-216 (2012)
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chromimpute
??? missing short description for package chromimpute :-(
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Please cite: Jason Ernst and Manolis Kellis: Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues. (eprint) Nature Biotechnology 33(4):364-376 (2015)
cif-tools
??? missing short description for package cif-tools :-(
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circlator
??? missing short description for package circlator :-(
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Please cite: Martin Hunt, Nishadi De Silva, Thomas D. Otto, Julian Parkhill, Jacqueline A. Keane and Simon R. Harris: Circlator: automated circularization of genome assemblies using long sequencing reads. (PubMed) Genome Biology 29(16):294 (2015)
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circos
??? missing short description for package circos :-(
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Please cite: Martin I Krzywinski, Jacqueline E Schein, Inanc Birol, Joseph Connors, Randy Gascoyne, Doug Horsman, Steven J Jones and Marco A Marra: Circos: An information aesthetic for comparative genomics. (PubMed,eprint) Genome Research 19(9):1639-45 (2009)
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clearcut
??? missing short description for package clearcut :-(
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Please cite: Jason Evans, Luke Sheneman and James A. Foster: Relaxed Neighbor-Joining: A Fast Distance-Based Phylogenetic Tree Construction Method. (PubMed) J. Mol. Evol. 62(6):785-792 (2006)
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clonalframe
??? missing short description for package clonalframe :-(
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Please cite: Xavier Didelot and Daniel Falush: Inference of Bacterial Microevolution Using Multilocus Sequence Data. (PubMed,eprint) Genetics Advance 175:1251-1266 (2006)
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clonalframeml
??? missing short description for package clonalframeml :-(
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Please cite: Xavier Didelot and Daniel J. Wilson: ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes. (PubMed,eprint) PLoS Comput Biology 11(2):e1004041 (2015)
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clonalorigin
??? missing short description for package clonalorigin :-(
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Please cite: Xavier Didelot, Daniel Lawson, Aaron Darling and Daniel Falush: Inference of Homologous Recombination in Bacteria Using Whole-Genome Sequences. (PubMed,eprint) Genetics 186(4):1435-1449 (2010)
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clustalo
??? missing short description for package clustalo :-(
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Please cite: Fabian Sievers, Andreas Wilm, David Dineen, Toby J Gibson, Kevin Karplus, Weizhong Li, Rodrigo Lopez, Hamish McWilliam, Michael Remmert, Johannes Söding, Julie D Thompson and Desmond G Higgins: Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. (PubMed,eprint) Molecular Systems Biology 7:539 (2011)
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Topics: Sequence analysis
clustalw
??? missing short description for package clustalw :-(
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Please cite: M. A. Larkin, G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I.M. Wallace, A. Wilm, R. Lopez, J. D. Thompson, T. J. Gibson and D. G. Higgins: Clustal W and Clustal X version 2.0. (PubMed,eprint) Bioinformatics 23(21):2947-2948 (2007)
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Topics: Sequence analysis
clustalx
??? missing short description for package clustalx :-(
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Please cite: M.A. Larkin, G. Blackshields, N.P. Brown, R. Chenna, P.A. McGettigan, H. McWilliam, F. Valentin, I.M. Wallace, A. Wilm, R. Lopez, J.D. Thompson, T.J. Gibson and D.G. Higgins: Clustal W and Clustal X version 2.0. (PubMed,eprint) Bioinformatics 23(21):2947-2948 (2007)
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Topics: Sequence analysis
cnvkit
??? missing short description for package cnvkit :-(
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Please cite: Eric Talevich, A. Hunter Shain, Thomas Botton and Boris C. Bastian: CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing. (PubMed,eprint) PLOS 12(4):e1004873 (2016)
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codonw
??? missing short description for package codonw :-(
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Please cite: Paul M. Sharp, Elizabeth Bailes, Russell J. Grocock, John F. Peden and R. Elizabeth Sockett: Variation in the strength of selected codon usage bias among bacteria.. (PubMed,eprint) Nucleic Acids Research 33(4):1141-1153 (2005)
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Topics: Sequence composition, complexity and repeats
comet-ms
??? missing short description for package comet-ms :-(
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upstream2021010
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Please cite: Jimmy K. Eng, Tahmina A. Jahan and Michael R. Hoopmann: Comet: an open source tandem mass spectrometry sequence database search tool. (PubMed) Proteomics 13(1) (2012)
concavity
??? missing short description for package concavity :-(
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The package is enhanced by the following packages: conservation-code
Please cite: John A. Capra, Roman A. Laskowski, Janet M. Thornton, Mona Singh and Thomas A. Funkhouser: Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure. (PubMed) PLoS Computational Biology 5(12):e1000585 (2009)
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conservation-code
??? missing short description for package conservation-code :-(
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Please cite: John A. Capra and Mona Singh: Predicting functionally important residues from sequence conservation. (PubMed) Bioinformatics 23(15):1875-82 (2007)
coot
??? missing short description for package coot :-(
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Please cite: P. Emsley, B. Lohkamp, W. G. Scott and K. Cowtan: Features and development of Coot. (eprint) Acta Crystallographica Section D 66(4):486-501 (2010)
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VersionURL
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covtobed
??? missing short description for package covtobed :-(
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Please cite: Giovanni Birolo and Andrea Telatin: covtobed: a simple and fast tool to extract coverage tracks from BAM files. Journal of Open Source Software 5(47):2119 (2020)
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crac
??? missing short description for package crac :-(
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Please cite: Eliseos J. Mucaki, Natasha G. Caminsky, Ami M. Perri, Ruipeng Lu, Alain Laederach, Matthew Halvorsen, Joan H. M. Knoll and Peter K. Rogan: A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer. (PubMed) BMS Medical Genomics 9:19 (2016)
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csb
??? missing short description for package csb :-(
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ctffind
??? missing short description for package ctffind :-(
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Please cite: Alexis Rohou and Nikolaus Grigorieff: CTFFIND4: Fast and accurate defocus estimation from electron micrographs. (PubMed) Journal of Structural Biology 192(2):216-221 (2015)
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cutadapt
??? missing short description for package cutadapt :-(
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The package is enhanced by the following packages: multiqc
Please cite: Marcel Martin: Cutadapt removes adapter sequences from high-throughput sequencing reads. (eprint) EMBnet.journal 17(1):10-12 (2015)
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cutesv
??? missing short description for package cutesv :-(
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Please cite: Tao Jiang, Yongzhuang Liu, Yue Jiang, Junyi Li, Yan Gao, Zhe Cui, Yadong Liu, Bo Liu and Yadong Wang: Long-read-based human genomic structural variation detection with cuteSV. (PubMed,eprint) Genome Biology 21(1):189 (2020)
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daligner
??? missing short description for package daligner :-(
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Please cite: Gene Myers: Efficient Local Alignment Discovery amongst Noisy Long Reads. 8701:52-67 (2014)
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damapper
??? missing short description for package damapper :-(
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datamash
??? missing short description for package datamash :-(
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dawg
??? missing short description for package dawg :-(
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Please cite: Reed A. Cartwright: DNA assembly with gaps (Dawg): simulating sequence evolution. (PubMed,eprint) Bioinformatics 21(Suppl 3):iii31-iii38 (2005)
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dazzdb
??? missing short description for package dazzdb :-(
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deblur
??? missing short description for package deblur :-(
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deepnano
??? missing short description for package deepnano :-(
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Please cite: Vladimír Boža, Broňa Brejová and Tomáš Vinař: DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads. PLOS one (2017)
Remark of Debian Med team: There is no intend to keep continue the existing packaging since

the program nanocall seems to serve the intended purpose better

delly
??? missing short description for package delly :-(
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upstream1.7.3
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Please cite: Tobias Rausch, Thomas Zichner, Andreas Schlattl, Adrian M. Stuetz, Vladimir Benes and Jan O. Korbel: DELLY: structural variant discovery by integrated paired-end and split-read analysis.. Bioinformatics 28:i333-i339 (2012)
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density-fitness
??? missing short description for package density-fitness :-(
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Please cite: I. J. Tickle: Statistical quality indicators for electron-density maps. Acta Cryst. (D68):454-467 (2012)
dextractor
??? missing short description for package dextractor :-(
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dialign
??? missing short description for package dialign :-(
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Please cite: Burkhard Morgenstern: DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment. (PubMed,eprint) Bioinformatics 15(3):211-218 (1999)
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dialign-tx
??? missing short description for package dialign-tx :-(
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The package is enhanced by the following packages: dialign-tx-data
Please cite: Amarendran R. Subramanian, Michael Kaufmann and Burkhard Morgenstern: DIALIGN-TX: greedy and progressive approaches for segment-based multiple sequence alignment. (PubMed) Algorithms for Molecular Biology 3(1):6 (2008)
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diamond-aligner
??? missing short description for package diamond-aligner :-(
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upstream2.2.0
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Please cite: Benjamin Buchfink, Chao Xie and Daniel H Huson: Fast and sensitive protein alignment using DIAMOND. (PubMed) Nature methods 12(1):59-60 (2015)
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discosnp
??? missing short description for package discosnp :-(
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disulfinder
??? missing short description for package disulfinder :-(
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Please cite: Alessio Ceroni, Andrea Passerini, Alessandro Vullo and Paolo Frasconi: DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. (PubMed) Nucleic Acids Res 34(Web Server issue):W177-181 (2006)
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dnaclust
??? missing short description for package dnaclust :-(
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Please cite: Mohammadreza Ghodsi, Bo Liu and Mihai Pop: DNACLUST: accurate and efficient clustering of phylogenetic marker genes. (PubMed,eprint) BMC Bioinformatics 12:271 (2011)
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dnarrange
??? missing short description for package dnarrange :-(
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dotter
??? missing short description for package dotter :-(
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Please cite: Gemma Barson and Ed Griffiths: SeqTools: visual tools for manual analysis of sequence alignments. (PubMed,eprint) BMC Research Notes 9:39 (2016)
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drop-seq-tools
??? missing short description for package drop-seq-tools :-(
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dssp
??? missing short description for package dssp :-(
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dwgsim
??? missing short description for package dwgsim :-(
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e-mem
??? missing short description for package e-mem :-(
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Please cite: Nilesh Khiste and Lucian Ilie: E-MEM: efficient computation of maximal exact matches for very large genomes. (PubMed,eprint) Bioinformatics 31(4):509-514 (2015)
ea-utils
??? missing short description for package ea-utils :-(
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Please cite: Erik Aronesty: Comparison of Sequencing Utility Programs. (eprint) The Open Bioinformatics Journal 7:1-8 (2013)
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ecopcr
??? missing short description for package ecopcr :-(
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edtsurf
??? missing short description for package edtsurf :-(
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Please cite: Dong Xu and Yang Zhang: Generating Triangulated Macromolecular Surfaces by Euclidean Distance Transform.. (PubMed,eprint) PLoS ONE 4(12):e8140 (2009)
eigensoft
??? missing short description for package eigensoft :-(
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Please cite: Alkes L. Price, Nick J. Patterson, Robert M. Plenge, Michael E. Weinblatt, Nancy A. Shadick and David Reich: Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics 38:904 - 909 (2006)
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elph
??? missing short description for package elph :-(
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embassy-domainatrix
??? missing short description for package embassy-domainatrix :-(
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embassy-domalign
??? missing short description for package embassy-domalign :-(
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embassy-domsearch
??? missing short description for package embassy-domsearch :-(
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emboss
??? missing short description for package emboss :-(
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The package is enhanced by the following packages: clustalw primer3
Please cite: Peter Rice, Ian Longden and Alan Bleasby: EMBOSS: The European Molecular Biology Open Software Suite. (PubMed) Trends in Genetics 16(6):276 - 277 (2000)
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emmax
??? missing short description for package emmax :-(
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Please cite: Hyun Min Kang, Jae Hoon Sul, Susan K Service, Noah A Zaitlen, Sit-yee Kong, Nelson B Freimer, Chiara Sabatti and Eleazar Eskin: Variance component model to account for sample structure in genome-wide association studies. (PubMed) Nature Genetics 42(4):348-54 (2010)
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estscan
??? missing short description for package estscan :-(
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Please cite: C. Lottaz, C. Iseli, CV. Jongeneel and Philipp Bucher: Modeling sequencing errors by combining Hidden Markov models Bioinformatics 19:103-112 (2003)
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Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
examl
??? missing short description for package examl :-(
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Please cite: Alexey M. Kozlov, Andre J. Aberer and Alexandros Stamatakis: ExaML version 3: a tool for phylogenomic analyses on supercomputers. (PubMed,eprint) Bioinformatics 31(15):2577-2579 (2015)
exonerate
??? missing short description for package exonerate :-(
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Please cite: Guy C. Slater and Ewan Birney: Automated generation of heuristics for biological sequence comparison. (PubMed,eprint) BMC Bioinformatics 6(1):31 (2005)
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fasta3
??? missing short description for package fasta3 :-(
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Please cite: William R. Pearson and D. J. Lipman: Improved tools for biological sequence comparison. (PubMed,eprint) Proc Natl Acad Sci U S A 85(8):2444-8 (1988)
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fastahack
??? missing short description for package fastahack :-(
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fastani
??? missing short description for package fastani :-(
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fastaq
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fastdnaml
??? missing short description for package fastdnaml :-(
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Please cite: Gary J. Olsen, Hideo Matsuda, Ray Hagstrom and Ross Overbeek: fastDNAml: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood. (PubMed,eprint) Comput Appl Biosci 10(1):41-48 (1994)
fastlink
??? missing short description for package fastlink :-(
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Please cite: R. W. Cottingham Jr., R. M. Idury and A. A. Schaffer: Faster Sequential Genetic Linkage Computations. (PubMed,eprint) American Journal of Human Genetics 53(1):252-263 (1993)
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fastml
??? missing short description for package fastml :-(
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Please cite: Haim Ashkenazy, Osnat Penn, Adi Doron-Faigenboim, Ofir Cohen, Gina Cannarozzi, Oren Zomer and Tal Pupko: FastML: a web server for probabilistic reconstruction of ancestral sequences. (PubMed,eprint) Nucleic Acids Research 40(Web Server issue):W580-W584 (2012)
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fastp
??? missing short description for package fastp :-(
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upstream1.3.3
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fastq-pair
??? missing short description for package fastq-pair :-(
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fastqc
??? missing short description for package fastqc :-(
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fastqtl
??? missing short description for package fastqtl :-(
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The package is enhanced by the following packages: fastqtl-doc
Please cite: Halit Ongen, Alfonso Buil, Andrew Anand Brown, Emmanouil T. Dermitzakis and and Olivier Delaneau: Fast and efficient QTL mapper for thousands of molecular phenotypes. (eprint) Bioinformatics (2015)
fasttree
??? missing short description for package fasttree :-(
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Please cite: Morgan N. Price, Paramvir S. Dehal and Adam P. Arkin: FastTree 2 -- Approximately Maximum-Likelihood Trees for Large Alignments.. (PubMed,eprint) PLoS ONE 5(3):e9490 (2010)
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ffindex
??? missing short description for package ffindex :-(
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figtree
??? missing short description for package figtree :-(
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filtlong
??? missing short description for package filtlong :-(
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fitgcp
??? missing short description for package fitgcp :-(
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Please cite: Martin S. Lindner, Maximilian Kollock, Franziska Zickmann and Bernhard Y. Renard: Analyzing genome coverage profiles with applications to quality control in metagenomics. (PubMed,eprint) Bioinformatics 29(10):1260-1267 (2013)
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flash
??? missing short description for package flash :-(
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The package is enhanced by the following packages: multiqc
Please cite: Tanja Magoč and Steven L Salzberg: FLASH: Fast Length Adjustment of Short Reads to Improve Genome Assemblies. (PubMed,eprint) Bioinformatics 27(21):2957-2963 (2011)
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flexbar
??? missing short description for package flexbar :-(
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Please cite: Matthias Dodt, Johannes T. Roehr, Rina Ahmed and Christoph Dieterich: FLEXBAR — Flexible Barcode and Adapter Processing for Next-Generation Sequencing Platforms. (eprint) Biology 1(3):895-905 (2012)
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flye
??? missing short description for package flye :-(
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Please cite: Mikhail Kolmogorov, Jeffrey Yuan, Yu Lin and Pavel A. Pevzner: Assembly of long, error-prone reads using repeat graphs. (PubMed) Nature Biotechnology 37(5):540–546 (2019)
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fml-asm
??? missing short description for package fml-asm :-(
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freebayes
??? missing short description for package freebayes :-(
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Please cite: Erik Garrison and Gabor Marth: Haplotype-based variant detection from short-read sequencing. (eprint) arXiv (2012)
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freecontact
??? missing short description for package freecontact :-(
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Please cite: László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks and Burkhard Rost: FreeContact: fast and free software for protein contact prediction from residue co-evolution. BMC Bioinformatics (2014)
Topics: Structure prediction; Sequence analysis
fsa
??? missing short description for package fsa :-(
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Please cite: Robert K. Bradley, Adam Roberts, Michael Smoot, Sudeep Juvekar, Jaeyoung Do, Colin Dewey, Ian Holmes and Lior Pachter: Fast Statistical Alignment. (PubMed,eprint) PLoS Comput Biol. 5(5):e1000392 (2009)
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Remark of Debian Med team: Precondition for T-Coffee

see http://wiki.debian.org/DebianMed/TCoffee

Upstream address bounced when contacting about segfaults so it seems to be dead upstream and no good code quality.

fsm-lite
??? missing short description for package fsm-lite :-(
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gamgi
??? missing short description for package gamgi :-(
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garli
??? missing short description for package garli :-(
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garlic
??? missing short description for package garlic :-(
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Please cite: Damir Zucic and Davor Juretic: Precise Annotation of Transmembrane Segments with Garlic - a Free Molecular Visualization Program (eprint) Croatica Chemica Acta 77(1-2):397-401 (2004)
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gasic
??? missing short description for package gasic :-(
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The package is enhanced by the following packages: gasic-examples
Please cite: Martin S. Lindner and Bernhard Y. Renard: Metagenomic abundance estimation and diagnostic testing on species level. (PubMed,eprint) Nucleic Acids Research 41(1):e10 (2013)
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gatb-core
??? missing short description for package gatb-core :-(
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Please cite: Erwan Drezen, Guillaume Rizk, Rayan Chikhi, Charles Deltel, Claire Lemaitre, Pierre Peterlongo and Dominique Lavenier: GATB: Genome Assembly & Analysis Tool Box. Bioinformatics 30(20):2959-2961 (2014)
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gdpc
??? missing short description for package gdpc :-(
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gemma
??? missing short description for package gemma :-(
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Please cite: Xiang Zhou and Matthew Stephens: Genome-wide efficient mixed-model analysis for association studies Nature Genetics 44:821-824 (2012)
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genometester
??? missing short description for package genometester :-(
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Please cite: Lauris Kaplinski, Maarja Lepamets and Maido Remm: GenomeTester4: a toolkit for performing basic set operations - union, intersection and complement on k-mer lists. (PubMed,eprint) GigaScience 4(1):58 (2015)
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genomethreader
??? missing short description for package genomethreader :-(
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Please cite: G. Gremme, V. Brendel, M.E. Sparks and S. Kurtz: Engineering a software tool for gene structure prediction in higher organisms. Information and Software Technology 47(15):965-978 (2005)
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genometools
??? missing short description for package genometools :-(
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Please cite: Gordon Gremme, Sascha Steinbiss and Stefan Kurtz: GenomeTools: a comprehensive software library for efficient processing of structured genome annotations.. (PubMed) IEEE/ACM Transactions on Computational Biology and Bioinformatics 10(3):645-656 (2013)
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genomicsdb-tools
??? missing short description for package genomicsdb-tools :-(
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gentle
??? missing short description for package gentle :-(
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Please cite: Magnus Manske: GENtle, a free multi-purpose molecular biology tool. (eprint) (2006)
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gff2aplot
??? missing short description for package gff2aplot :-(
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Please cite: J. F. Abril, R. Guigó and T. Wiehe: gff2aplot: Plotting sequence comparisons. (PubMed,eprint) Bioinformatics 19(18):2477-2479 (2003)
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gff2ps
??? missing short description for package gff2ps :-(
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Please cite: J. F. Abril and R. Guigó: gff2ps: visualizing genomic annotations.. (PubMed,eprint) Bioinformatics 16(8):743-744 (2000)
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gffread
??? missing short description for package gffread :-(
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ggd-utils
??? missing short description for package ggd-utils :-(
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ghmm
??? missing short description for package ghmm :-(
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glam2
??? missing short description for package glam2 :-(
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Please cite: Martin C. Frith, Neil F. W. Saunders, Bostjan Kobe and Timothy L. Bailey: Discovering Sequence Motifs with Arbitrary Insertions and Deletions. (PubMed) PLoS Computational Biology 4(5):e1000071 (2008)
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gmap
??? missing short description for package gmap :-(
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Please cite: Thomas D. Wu and Serban Nacu: Fast and SNP-tolerant detection of complex variants and splicing in short reads. (PubMed,eprint) Bioinformatics 26(7):873-81 (2010)
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grabix
??? missing short description for package grabix :-(
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graphlan
??? missing short description for package graphlan :-(
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grinder
??? missing short description for package grinder :-(
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Please cite: Florent E. Angly, Dana Willner, Forest Rohwer, Philip Hugenholtz and Gene W. Tyson: Grinder: a versatile amplicon and shotgun sequence simulator. (PubMed,eprint) Nucleic Acids Research Epub ahead of print (2012)
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gromacs
??? missing short description for package gromacs :-(
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Please cite: Berk Hess, Carsten Kutzner, David van der Spoel and Erik Lindahl: GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation. (eprint) J. Chem. Theory Comput. 4(3):435-447 (2008)
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gsort
??? missing short description for package gsort :-(
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gubbins
??? missing short description for package gubbins :-(
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Please cite: Nicholas J. Croucher, Andrew J. Page, Thomas R. Connor, Aidan J. Delaney, Jacqueline A. Keane, Stephen D. Bentley, Julian Parkhill and Simon R. Harris: Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. (PubMed,eprint) Nucleic Acids Research 43(3):e15 (2014)
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gwama
??? missing short description for package gwama :-(
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Please cite: Reedik Mägi and Andrew P. Morris: GWAMA: software for genome-wide association meta-analysis. (eprint) BMC Bioinformatics 11(May):288 (2010)
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harvest-tools
??? missing short description for package harvest-tools :-(
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Please cite: Todd J. Treangen, Brian D. Ondov, Sergey Koren and Adam M. Phillippy: Rapid Core-Genome Alignment and Visualization for Thousands of Intraspecific Microbial Genomes. (PubMed,eprint) bioRxiv 15(11):524 (2014)
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hhsuite
??? missing short description for package hhsuite :-(
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Please cite: Michael Remmert, Andreas Biegert, Andreas Hauser and Johannes Söding: HHblits: Lightning-fast iterative protein sequence searching by HMM-HMM alignment.. (PubMed) Nat. Methods 9(2):173-175 (2011)
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hilive
??? missing short description for package hilive :-(
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Please cite: Martin S. Lindner, Benjamin Strauch, Jakob M. Schulze, Simon H. Tausch, Piotr W. Dabrowski, Andreas Nitsche and Bernhard Y. Renard: HiLive: real-time mapping of illumina reads while sequencing. (PubMed) Bioinformatics 33(6):917-919 (2017)
hisat2
??? missing short description for package hisat2 :-(
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The package is enhanced by the following packages: multiqc
Please cite: Daehwan Kim, Joseph M. Paggi, Chanhee Park, Christopher Bennett and Steven L. Salzberg: Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nature Biotechnology 37(8):907-915 (2019)
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hmmer
??? missing short description for package hmmer :-(
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Please cite: S. R. Eddy: Profile hidden Markov models. (PubMed,eprint) Bioinformatics 14(9):755-763 (1998)
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hmmer2
??? missing short description for package hmmer2 :-(
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Please cite: Eddy, Sean R.: Profile hidden Markov models. (PubMed) Bioinformatics 14(9):755-763 (1998)
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Remark of Debian Med team: This older version of HMMER is used in some applications

While Debian has HMMER 3 since some time there are users of HMMER 2 interested in having this old version available and thus the package is reintroduced.

hyphy-mpi
??? missing short description for package hyphy-mpi :-(
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Please cite: Sergei L. Kosakovsky Pond, Simon D. W. Frost and Spencer V. Muse: HyPhy: hypothesis testing using phylogenies. (PubMed,eprint) Bioinformatics 21(5):676-679 (2005)
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hyphy-pt
??? missing short description for package hyphy-pt :-(
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Please cite: Sergei L. Kosakovsky Pond, Simon D. W. Frost and Spencer V. Muse: HyPhy: hypothesis testing using phylogenies. (PubMed,eprint) Bioinformatics 21(5):676-679 (2005)
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idba
??? missing short description for package idba :-(
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Please cite: Yu Peng, Henry C. M. Leung, S. M. Yiu and Francis Y. L. Chin: IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. (PubMed,eprint) Bioinformatics 28(11):1420-1428 (2012)
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igblast
??? missing short description for package igblast :-(
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Please cite: Jian Ye, Ning Ma, Thomas L Madden and James M Ostell: IgBLAST: an immunoglobulin variable domain sequence analysis tool. (PubMed,eprint) Nucleic Acids Res. 41:W34-W40 (2013)
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igor
??? missing short description for package igor :-(
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igv
??? missing short description for package igv :-(
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Please cite: James T Robinson, Helga Thorvaldsdóttir, Wendy Winckler, Mitchell Guttman, Eric S Lander, Gad Getz and Jill P Mesirov: Integrative genomics viewer. (PubMed,eprint) Nature Biotechnology 29(1):24–26 (2011)
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indelible
??? missing short description for package indelible :-(
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Please cite: William Fletcher and Ziheng Yang: INDELible: A Flexible Simulator of Biological Sequence Evolution. (eprint) Molecular Biology and Evolution 26(8):1879-1888 (2009)
Topics: Sequencing
infernal
??? missing short description for package infernal :-(
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Please cite: Eric P. Nawrocki, Diana L. Kolbe and Sean R. Eddy: Infernal 1.0: inference of RNA alignments. (PubMed,eprint) Bioinformatics 25(10):1335-1337 (2009)
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insilicoseq
??? missing short description for package insilicoseq :-(
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Please cite: Hadrien Gourlé, Oskar Karlsson-Lindsjö, Juliette Hayer and Erik Bongcam-Rudloff: Simulating Illumina data with InSilicoSeq. Bioinformatics 35(3):521–522 (2019)
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ipig
??? missing short description for package ipig :-(
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Please cite: Mathias Kuhring and Bernhard Y. Renard: iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations. (PubMed,eprint) PLoS ONE 7(12):e50246 (2012)
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iqtree
??? missing short description for package iqtree :-(
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Please cite: Lam Tung Nguyen, Heiko A. Schmidt, Arndt von Haeseler and Bui Quang Minh: IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. (PubMed,eprint) Mol. Biol. Evol. 32(1):268-274 (2015)
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iva
??? missing short description for package iva :-(
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Please cite: M. Hunt, A. Gall, S. H. Ong, J. Brener, B. Ferns, P. Goulder, E. Nastouli, J. A. Keane, P. Kellam and T. D. Otto: IVA: accurate de novo assembly of RNA virus genomes. (PubMed) Bioinformatics 31(14):2374-2376 (2015)
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jaligner
??? missing short description for package jaligner :-(
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jalview
??? missing short description for package jalview :-(
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Please cite: Andrew M. Waterhouse, James B. Procter, David M. A. Martin, Michèle Clamp and Geoffrey J. Barton: Jalview Version 2-a multiple sequence alignment editor and analysis workbench. (PubMed,eprint) Bioinformatics 25:1189-1191 (2009)
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jellyfish
??? missing short description for package jellyfish :-(
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The package is enhanced by the following packages: multiqc
Please cite: Guillaume Marcais and Carl Kingsford: A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27(6):764-770 (2011)
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jellyfish1
??? missing short description for package jellyfish1 :-(
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Please cite: Guillaume Marcais and Carl Kingsford: A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27(6):764-770 (2011)
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jmodeltest
??? missing short description for package jmodeltest :-(
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Please cite: Diego Darriba, Guillermo L Taboada, Ramón Doallo and David Posada: jModelTest 2: more models, new heuristics and parallel computing. (PubMed) Nature Methods 9(8):772 (2012)
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jmol
??? missing short description for package jmol :-(
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Please cite: A. Herráez: Biomolecules in the computer: Jmol to the rescue. (PubMed,eprint) Biochem Mol Biol Educ. 34(4):255-261 (2006)
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kalign
??? missing short description for package kalign :-(
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Please cite: Lassmann, Timo.: Kalign 3: multiple sequence alignment of large datasets. (eprint) Bioinformatics 36(6):1928-1929 (2020)
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kallisto
??? missing short description for package kallisto :-(
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The package is enhanced by the following packages: multiqc
Please cite: Nicolas L Bray, Harold Pimentel, Páll Melsted and Lior Pachter: Near-optimal probabilistic RNA-seq quantification. (PubMed) Nature Biotechnology 34(5):525–527 (2016)
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kaptive
??? missing short description for package kaptive :-(
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The package is enhanced by the following packages: kaptive-data kaptive-example
Please cite: Kelly L. Wyres, Ryan R. Wick, Claire Gorrie, Adam Jenney, Rainer Follador, Nicholas R. Thomson and Kathryn E. Holt: Identification of Klebsiella capsule synthesis loci from whole genome data. (PubMed) Microbial Genomics 2(12):e000102 (2016)
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khmer
??? missing short description for package khmer :-(
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Please cite: Michael R. Crusoe, Hussien F. Alameldin, Sherine Awad, Elmar Bucher, Adam Caldwell, Reed Cartwright, Amanda Charbonneau, Bede Constantinides, Greg Edvenson, Scott Fay, Jacob Fenton, Thomas Fenzl, Jordan Fish, Leonor Garcia-Gutierrez, Phillip Garland, Jonathan Gluck, Iván González, Sarah Guermond, Jiarong Guo, Aditi Gupta, Joshua R. Herr, Adina Howe, Alex Hyer, Andreas Härpfer, Luiz Irber, Rhys Kidd, David Lin, Justin Lippi, Tamer Mansour, Pamela McA'Nulty, Eric McDonald, Jessica Mizzi, Kevin D. Murray, Joshua R. Nahum, Kaben Nanlohy, Alexander Johan Nederbragt, Humberto Ortiz-Zuazaga, Jeramia Ory, Jason Pell, Charles Pepe-Ranney, Zachary N Russ, Erich Schwarz, Camille Scott, Josiah Seaman, Scott Sievert, Jared Simpson, Connor T. Skennerton, James Spencer, Ramakrishnan Srinivasan, Daniel Standage, James A. Stapleton, Joe Stein, Susan R Steinman, Benjamin Taylor, Will Trimble, Heather L. Wiencko, Michael Wright, Brian Wyss, Qingpeng Zhang, en zyme and C. Titus Brown: The khmer software package: enabling efficient sequence analysis. (2015)
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kineticstools
??? missing short description for package kineticstools :-(
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king-probe
??? missing short description for package king-probe :-(
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Please cite: J. Michael Word, Simon C. Lovell, Thomas H. LaBean, Hope C. Taylor, Michael E. Zalis, Brent K. Presley, Jane S. Richardson and David C. Richardson: Visualizing and Quantifying Molecular Goodness-of-Fit: Small-probe Contact Dots with Explicit Hydrogen Atoms. (PubMed,eprint) J. Mol. Biol. 285(4):1709-1731 (1999)
kissplice
??? missing short description for package kissplice :-(
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Please cite: Gustavo AT Sacomoto, Janice Kielbassa, Rayan Chikhi, Raluca Uricaru, Pavlos Antoniou, Marie-France Sagot, Pierre Peterlongo and Vincent Lacroix: KISSPLICE: de-novo calling alternative splicing events from RNA-seq data. (PubMed,eprint) BMC Bioinformatics 13((Suppl 6)):S5 (2012)
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Topics: RNA-seq; RNA splicing; Gene structure
kleborate
??? missing short description for package kleborate :-(
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Please cite: Margaret M. C. Lam, Ryan R. Wick, Kelly L. Wyres, Claire L. Gorrie, Louise M. Judd, Adam W. J. Jenney, Sylvain Brisse and Kathryn E. Holt: Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations. (PubMed) Microbiology Society 4(9) (2018)
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kma
??? missing short description for package kma :-(
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Please cite: Philip T. L. C. Clausen, Frank M. Aarestrup and Ole Lund: Rapid and precise alignment of raw reads against redundant databases with KMA. (PubMed,eprint) BMC Bioinformatics 19:307 (2018)
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kmc
??? missing short description for package kmc :-(
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Please cite: S. Deorowicz, M. Kokot, Sz. Grabowski and A. Debudaj-Grabysz: KMC 2: Fast and resource-frugal k-mer counting. (PubMed) Bioinformatics 31(10):1569-1576 (2015)
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Topics: Sequence composition, complexity and repeats
kmer
??? missing short description for package kmer :-(
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Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
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kmerresistance
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Please cite: Philip T. L. C. Clausen, Ea Zankari, Frank M. Aarestrup and Ole Lund: Benchmarking of methods for identification of antimicrobial resistance genes in bacterial whole genome data. (PubMed,eprint) Journal of Antimicrobial Chemotherapy 71(9):2484-8 (2016)
kraken
??? missing short description for package kraken :-(
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Please cite: Derrick E Wood and Steven L Salzberg: Kraken: ultrafast metagenomic sequence classification using exact alignments. (PubMed,eprint) Genome Biol. 15(3):R46 (2014)
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kraken2
??? missing short description for package kraken2 :-(
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lagan
??? missing short description for package lagan :-(
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Please cite: Michael Brudno, Chuong Do, Gregory Cooper, Michael F. Kim, Eugene Davydov, Eric D. Green, Arend Sidow and Serafim Batzoglou: LAGAN and Multi-LAGAN: efficient tools for large-scale multiple alignment of genomic DNA. (PubMed,eprint) Genome Research 13(4):721-31 (2003)
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Please cite: Mary K. Kuhner: Coalescent genealogy samplers: windows into population history. (PubMed) Trends in Ecology & Evolution 24(2):86-93 (2009)
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lamassemble
??? missing short description for package lamassemble :-(
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lambda-align
??? missing short description for package lambda-align :-(
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Please cite: Hannes Hauswedell, Jochen Singer and Knut Reinert: Lambda: the local aligner for massive biological data. (PubMed,eprint) Bioinformatics 30(17):i349-i355 (2014)
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lambda-align2
??? missing short description for package lambda-align2 :-(
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Please cite: Hannes Hauswedell, Jochen Singer and Knut Reinert: Lambda: the local aligner for massive biological data. (PubMed,eprint) Bioinformatics 30(17):i349-i355 (2014)
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last-align
??? missing short description for package last-align :-(
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Please cite: Martin C. Frith, Raymond Wan and Paul Horton: Incorporating sequence quality data into alignment improves DNA read mapping. (PubMed,eprint) Nucl. Acids Res. 38(7):e100 (2010)
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lastz
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leaff
??? missing short description for package leaff :-(
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Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
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lefse
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libpwiz-tools
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librg-utils-perl
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libvcflib-tools
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lighter
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loki
??? missing short description for package loki :-(
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ltrsift
??? missing short description for package ltrsift :-(
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lucy
??? missing short description for package lucy :-(
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lumpy-sv
??? missing short description for package lumpy-sv :-(
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macs
??? missing short description for package macs :-(
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Please cite: Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S. Johnson, Bradley E. Bernstein, Chad Nussbaum, Richard M. Myers, Myles Brown, Wei Li and X Shirley Liu: Model-based Analysis of ChIP-Seq (MACS). (PubMed,eprint) Genome Biol. 9(9):R137 (2008)
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macsyfinder
??? missing short description for package macsyfinder :-(
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Please cite: Sophie S. Abby, Bertrand Néron, Hervé Ménager, Marie Touchon and Eduardo P. C. Rocha: MacSyFinder: A Program to Mine Genomes for Molecular Systems with an Application to CRISPR-Cas System. (PubMed,eprint) PLOS ONE 9(10):e110726 (2014)
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maffilter
??? missing short description for package maffilter :-(
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The package is enhanced by the following packages: maffilter-examples
Please cite: Julien Y Dutheil, Sylvain Gaillard and Eva H Stukenbrock: MafFilter: a highly flexible and extensible multiple genome alignment files processor. (PubMed,eprint) BMC Genomics 15:53 (2014)
mafft
??? missing short description for package mafft :-(
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Please cite: Kazutaka Katoh and Hiroyuki Toh: Recent developments in the MAFFT multiple sequence alignment program. (PubMed) Brief Bioinform 9(4):286-298 (2008)
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malt
??? missing short description for package malt :-(
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The package is enhanced by the following packages: multiqc
Please cite: Alexander Herbig, Frank Maixner, Kirsten I. Bos, Albert Zink, Johannes Krause and Daniel H. Huson: MALT: Fast alignment and analysis of metagenomic DNA sequence data applied to the Tyrolean Iceman. (eprint) bioRxiv (2016)
mapdamage
??? missing short description for package mapdamage :-(
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Please cite: Hákon Jónsson, Aurélien Ginolhac, Mikkel Schubert and Philip Johnson and Ludovic Orlando: mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. (PubMed,eprint) Bioinformatics 29(13):1682-4 (2013)
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mapsembler2
??? missing short description for package mapsembler2 :-(
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Please cite: Pierre Peterlongo and Rayan Chikhi: Mapsembler, targeted and micro assembly of large NGS datasets on a desktop computer. (PubMed) BMC Bioinformatics 13:48 (2012)
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maq
??? missing short description for package maq :-(
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Please cite: Heng Li, Jue Ruan and Richard Durbin: Mapping short DNA sequencing reads and calling variants using mapping quality scores. (PubMed,eprint) Genome Research 18(11):1851-1858 (2008)
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maqview
??? missing short description for package maqview :-(
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Please cite: Heng Li, Jue Ruan and Richard Durbin: Mapping short DNA sequencing reads and calling variants using mapping quality scores. (PubMed,eprint) Genome Research 18(11):1851-1858 (2008)
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mash
??? missing short description for package mash :-(
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Please cite: Brian D. Ondovi, Todd J. Treangen, Páll Melsted, Adam B. Mallonee, Nicholas H. Bergman, Sergey Koren and Adam M. Phillippy: Mash: fast genome and metagenome distance estimation using MinHash. (PubMed,eprint) Genome Biology 17:132 (2016)
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massxpert
??? missing short description for package massxpert :-(
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mauve-aligner
??? missing short description for package mauve-aligner :-(
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The package is enhanced by the following packages: progressivemauve
Please cite: Aaron C. E. Darling, Bob Mau, Frederick R. Blattner and Nicole T. Perna: Mauve: multiple alignment of conserved genomic sequence with rearrangements. (PubMed,eprint) Genome research 14(7):1394-1403 (2004)
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mcaller
??? missing short description for package mcaller :-(
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mecat2
??? missing short description for package mecat2 :-(
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Please cite: Chuan-Le Xiao, Ying Chen, Shang-Qian Xie, Kai-Ning Chen, Yan Wang, Yue Han, Feng Luo and Zhi Xie: MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads. Nature Methods 14(11):1078 (2017)
megadepth
??? missing short description for package megadepth :-(
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Please cite: Christopher Wilks, Omar Ahmed, Daniel N Baker, David Zhang, Leonardo Collado-Torres and Ben Langmead: Megadepth: efficient coverage quantification for BigWigs and BAMs. (PubMed) Bioinformatics 37(18):3014–3016 (2021)
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megahit
??? missing short description for package megahit :-(
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Please cite: Dinghua Li, Chi-Man Liu, Ruibang Luo, Kunihiko Sadakane and Tak-Wah Lam: MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. (PubMed) 31:1674-1676 (2015)
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megan-ce
??? missing short description for package megan-ce :-(
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Please cite: Daniel H. Huson, Sina Beier, Isabell Flade, Anna Górska, Mohamed El-Hadidi, Suparna Mitra, Hans-Joachim Ruscheweyh and Rewati Tappu: MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data. (PubMed,eprint) PLoS Comput Biol. 12(6):e1004957 (2016)
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melting
??? missing short description for package melting :-(
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Please cite: Le Novère, Nicolas: MELTING, computing the melting temperature of nucleic acid duplex. (PubMed,eprint) Bioinformatics 17(12):1226-1227 (2001)
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meryl
??? missing short description for package meryl :-(
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Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
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metabat
??? missing short description for package metabat :-(
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Please cite: Dongwan D. Kang, Jeff Froula, Rob Egan and Zhong Wang: MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities. (PubMed) PeerJ 3:e1165 (2015)
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metaeuk
??? missing short description for package metaeuk :-(
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metaphlan
??? missing short description for package metaphlan :-(
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Please cite: Duy Tin Truong, Eric A Franzosa, Timothy L Tickle, Matthias Scholz, George Weingart, Edoardo Pasolli, Adrian Tett, Curtis Huttenhower and Nicola Segata: MetaPhlAn2 for enhanced metagenomic taxonomic profiling. (PubMed) Nature Methods 12(10):902–903 (2015)
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metastudent
??? missing short description for package metastudent :-(
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Please cite: Tobias Hamp, Rebecca Kassner, Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, Dominik Achten, Florian Auer, Ariane Boehm, Tatjana Braun, Maximilian Hecht, Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompass, Cedric Landerer, Yannick Mahlich, Manfred Roos and Burkhard Rost: Homology-based inference sets the bar high for protein function prediction.. (PubMed) BMC Bioinformatics 14(Suppl 3):S7 (2013)
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mhap
??? missing short description for package mhap :-(
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Please cite: Konstantin Berlin, Sergey Koren, Chen-Shan Chin, James P Drake, Jane M Landolin and Adam M Phillippy: Assembling large genomes with single-molecule sequencing and locality-sensitive hashing. (PubMed) Nature Biotechnology 33(6):623–630 (2015)
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microbegps
??? missing short description for package microbegps :-(
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Please cite: Martin S. Lindner and Bernhard Y. Renard: Metagenomic Profiling of Known and Unknown Microbes with MicrobeGPS. (PubMed,eprint) PLoS One 10(2):e0117711 (2015)
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microbiomeutil
??? missing short description for package microbiomeutil :-(
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Please cite: Brian J. Haas, Dirk Gevers, Ashlee M. Earl, Mike Feldgarden, Doyle V. Ward, Georgia Giannoukos, Dawn Ciulla, Diana Tabbaa, Sarah K. Highlander, Erica Sodergren, Barbara Methé, Todd Z. DeSantis, The Human Microbiome Consortium, Joseph F. Petrosino, Rob Knight and Bruce W. Birren: Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. (PubMed,eprint) Genome Research 21(3):494-504 (2011)
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mindthegap
??? missing short description for package mindthegap :-(
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minexpert2
??? missing short description for package minexpert2 :-(
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minia
??? missing short description for package minia :-(
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Please cite: Rayan Chikhi and Guillaume Rizk: Space-Efficient and Exact de Bruijn Graph Representation Based on a Bloom Filter.. (PubMed,eprint) Algorithms for Molecular Biology 8(1):22 (2013)
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Topics: Sequence assembly
miniasm
??? missing short description for package miniasm :-(
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minimac4
??? missing short description for package minimac4 :-(
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Please cite: Sayantan Das, Lukas Forer, Sebastian Schönherr, Carlo Sidore, Adam E Locke, Alan Kwong, Scott I Vrieze, Emily Y Chew, Shawn Levy, Matt McGue, David Schlessinger, Dwight Stambolian, Po-Ru Loh, William G Iacono, Anand Swaroop, Laura J Scott, Francesco Cucca, Florian Kronenberg, Michael Boehnke, Gonçalo R Abecasis and Christian Fuchsberger: Next-generation genotype imputation service and methods. Nature Genetics 48(10):1284-1287 (2016)
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minimap
??? missing short description for package minimap :-(
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Please cite: Heng Li: Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences. (eprint) Bioinformatics :2103-2110 (2016)
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Topics: Mapping
minimap2
??? missing short description for package minimap2 :-(
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Please cite: Heng Li: Minimap2: pairwise alignment for nucleotide sequences. (PubMed,eprint) Bioinformatics :2103-2110 (2018)
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mipe
??? missing short description for package mipe :-(
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Please cite: Jan Aerts and T. Veenendaal: MIPE - a XML-format to facilitate the storage and exchange of PCR-related data. Online Journal of Bioinformatics 6(2):114-120 (2005)
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mira-assembler
??? missing short description for package mira-assembler :-(
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Please cite: Bastien Chevreux, Thomas Pfisterer, Bernd Drescher, Albert J. Driesel, Werner E. G. Müller, Thomas Wetter and Sándor Suhai: Using the miraEST Assembler for Reliable and Automated mRNA Transcript Assembly and SNP Detection in Sequenced ESTs. (PubMed,eprint) Genome Research 14(6):1147-1159 (2004)
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mirtop
??? missing short description for package mirtop :-(
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The package is enhanced by the following packages: multiqc
Please cite: Thomas Desvignes, Karen Eilbeck, Ioannis S. Vlachos, Bastian Fromm, Yin Lu, Marc K. Halushka, Michael Hackenberg, Gianvito Urgese, Elisa Ficarra, Shruthi Bandyadka, Jason Sydes, Peter Batzel, John H. Postlethwait, Phillipe Loher, Eric Londin, Aristeidis G. Telonis, Isidore Rigoutsos and Lorena Pantano Rubino: miRTOP: An open source community project for the development of a unified format file for miRNA data [version 1; not peer reviewed]. (eprint) F1000Research 7(ISCB Comm. J.):953 (Slides) (2018)
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mlv-smile
??? missing short description for package mlv-smile :-(
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mmb
??? missing short description for package mmb :-(
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mmseqs2
??? missing short description for package mmseqs2 :-(
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Please cite: Martin Steinegger and Johannes Söding: Clustering huge protein sequence sets in linear time. Nature Communications 9(1) (2018)
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mosdepth
??? missing short description for package mosdepth :-(
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The package is enhanced by the following packages: multiqc
Please cite: Brent S Pedersen and Aaron R. Quinlan: Mosdepth: quick coverage calculation for genomes and exomes. (PubMed,eprint) Bioinformatics 34(5):867-868 (2018)
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mothur
??? missing short description for package mothur :-(
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Please cite: Patrick D Schloss, Sarah L Westcott, Thomas Ryabin, Justine R Hall, Martin Hartmann, Emily B Hollister, Ryan A Lesniewski, Brian B Oakley, Donovan H Parks, Courtney J Robinson, Jason W Sahl, Blaz Stres, Gerhard G Thallinger, David J Van Horn and Carolyn F Weber: Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities. (PubMed) Appl Environ Microbiol 75(23):7537-7541 (2009)
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Topics: Microbial ecology
mptp
??? missing short description for package mptp :-(
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Please cite: Paschalia Kapli, Sarah Lutteropp, Jiajie Zhang, Kassian Kobert, Pavlos Pavlidis, Alexandros Stamatakis and Tomas Flouri: Multi-rate Poisson Tree Processes for single-locus species delimitation under Maximum Likelihood and Markov Chain Monte Carlo. (PubMed,eprint) bioRxiv (2016)
mrbayes
??? missing short description for package mrbayes :-(
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The package is enhanced by the following packages: mrbayes-doc
Please cite: Fredrik Ronquist, Maxim Teslenko, Paul van der Mark, Daniel L. Ayres, Aaron Darling, Sebastian Höhna, Bret Larget, Liang Liu, Marc A. Suchard and John P. Huelsenbeck: MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space. (PubMed,eprint) Systematic Biology (2012)
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multiqc
??? missing short description for package multiqc :-(
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Please cite: Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller: MultiQC: summarize analysis results for multiple tools and samples in a single report. (PubMed,eprint) Bioinformatics 31(19):3047-8 (2016)
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mummer
??? missing short description for package mummer :-(
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The package is enhanced by the following packages: e-mem
Please cite: Stefan Kurtz, Adam Phillippy, Arthur L. Delcher, Michael Smoot, Martin Shumway, Corina Antonescu and Steven L. Salzberg: Versatile and open software for comparing large genomes. (PubMed) Genome Biology 5(2):R12 (2004)
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murasaki
??? missing short description for package murasaki :-(
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Please cite: Kris Popendorf, Hachiya Tsuyoshi, Yasunori Osana and Yasubumi Sakakibara: Murasaki: A Fast, Parallelizable Algorithm to Find Anchors from Multiple Genomes. (PubMed,eprint) PLOS one 5(9):e12651 (2010)
murasaki-mpi
??? missing short description for package murasaki-mpi :-(
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Please cite: Kris Popendorf, Hachiya Tsuyoshi, Yasunori Osana and Yasubumi Sakakibara: Murasaki: A Fast, Parallelizable Algorithm to Find Anchors from Multiple Genomes. (PubMed,eprint) PLOS one 5(9):e12651 (2010)
muscle
??? missing short description for package muscle :-(
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Please cite: Robert C. Edgar: MUSCLE: multiple sequence alignment with high accuracy and high throughput. (PubMed,eprint) Nucleic Acids Research 32(5):1792-1797 (2004)
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muscle3
??? missing short description for package muscle3 :-(
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Please cite: Robert C. Edgar: MUSCLE: multiple sequence alignment with high accuracy and high throughput. (PubMed,eprint) Nucleic Acids Research 32(5):1792-1797 (2004)
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Topics: Sequence analysis
mustang
??? missing short description for package mustang :-(
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The package is enhanced by the following packages: mustang-testdata
Please cite: Arun S. Konagurthu, James C. Whisstock, Peter J. Stuckey and Arthur M. Lesk: MUSTANG: A multiple structural alignment algorithm. (PubMed) Proteins: Structure, Function, and Bioinformatics 64(3):559-574 (2006)
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nanofilt
??? missing short description for package nanofilt :-(
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Please cite: Wouter De Coster, Svenn D'Hert, Darrin T. Schultz and Christine Van Broeckhoven: NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 34 (2018)
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nanolyse
??? missing short description for package nanolyse :-(
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Please cite: Wouter De Coster, Svenn D’Hert, Darrin T Schultz, Marc Cruts and Christine Van Broeckhoven: NanoPack: visualizing and processing long-read sequencing data. (PubMed,eprint) Bioinformatics 34(15):2666-2669 (2018)
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nanook
??? missing short description for package nanook :-(
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The package is enhanced by the following packages: nanook-examples
Please cite: Richard M. Leggett, Darren Heavens, Mario Caccamo, Matthew D. Clark and Robert P. Davey: NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles. (PubMed,eprint) Bioinformatics 32(1):142-144 (2016)
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nanopolish
??? missing short description for package nanopolish :-(
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nanostat
??? missing short description for package nanostat :-(
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nanosv
??? missing short description for package nanosv :-(
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Please cite: Mircea Cretu Stancu, Markus J. van Roosmalen, Ivo Renkens, Marleen M. Nieboer, Sjors Middelkamp, Joep de Ligt, Giulia Pregno, Daniela Giachino, Giorgia Mandrile, Jose Espejo Valle-Inclan, Jerome Korzelius, Ewart de Bruijn, Edwin Cuppen, Michael E. Talkowski, Tobias Marschall, Jeroen de Ridder and Wigard P. Kloosterman: Mapping and phasing of structural variation in patient genomes using nanopore sequencing.. (eprint) Nature Communications 8:1326 (2017)
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nast-ier
??? missing short description for package nast-ier :-(
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The package is enhanced by the following packages: microbiomeutil-data
Please cite: Brian J. Haas, Dirk Gevers, Ashlee M. Earl, Mike Feldgarden, Doyle V. Ward, Georgia Giannoukos, Dawn Ciulla, Diana Tabbaa, Sarah K. Highlander, Erica Sodergren, Barbara Methé, Todd Z. DeSantis, The Human Microbiome Consortium, Joseph F. Petrosino, Rob Knight and Bruce W. Birren: Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. (PubMed,eprint) Genome Research 21(3):494-504 (2011)
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ncbi-acc-download
??? missing short description for package ncbi-acc-download :-(
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ncbi-blast+
??? missing short description for package ncbi-blast+ :-(
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ncbi-blast+-legacy
??? missing short description for package ncbi-blast+-legacy :-(
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ncbi-entrez-direct
??? missing short description for package ncbi-entrez-direct :-(
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ncbi-epcr
??? missing short description for package ncbi-epcr :-(
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Please cite: Gregory D. Schuler: Sequence Mapping by Electronic PCR. (PubMed,eprint) Genome Research 7(5):541-550 (1997)
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ncbi-seg
??? missing short description for package ncbi-seg :-(
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Please cite: John C. Wootton and Scott Federhen: Statistics of local complexity in amino acid sequences and sequence databases.. Computers & Chemistry 17:149-163 (1993)
ncbi-tools-bin
??? missing short description for package ncbi-tools-bin :-(
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The package is enhanced by the following packages: mcl
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ncbi-tools-x11
??? missing short description for package ncbi-tools-x11 :-(
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ncl-tools
??? missing short description for package ncl-tools :-(
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Please cite: Paul O. Lewis: NCL: a C++ class library for interpreting data files in NEXUS format. (PubMed,eprint) Bioinformatics 19(17):2330-2331 (2003)
ncoils
??? missing short description for package ncoils :-(
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Please cite: Andrei Lupas, Marc Van Dyke and Jeff Stock: Predicting coiled coils from protein sequences. (PubMed) Science 252:1162-1164 (1991)
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neobio
??? missing short description for package neobio :-(
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Please cite: Maxime Crochemore, Gad M. Landau and Michal Ziv-Ukelson: A sub-quadratic sequence alignment algorithm for unrestricted cost matrices. :679-688 (2002)
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ngmlr
??? missing short description for package ngmlr :-(
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Please cite: Fritz J. Sedlazeck, Philipp Rescheneder, Moritz Smolka, Han Fang, Maria Nattestad, Arndt von Haeseler and Michael C. Schatz: Accurate detection of complex structural variations using single-molecule sequencing. Nature Methods 15:461–468 (2018)
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njplot
??? missing short description for package njplot :-(
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Please cite: G. Perrière and M. Gouy: WWW-query: An on-line retrieval system for biological sequence banks. (PubMed) Biochimie 78(5):364–369 (1996)
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norsnet
??? missing short description for package norsnet :-(
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Please cite: Avner Schlessinger, Jinfeng Liu and Burkhard Rost: Natively unstructured loops differ from other loops.. (PubMed,eprint) PLoS Comput Biol. 3:e140 (2007)
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norsp
??? missing short description for package norsp :-(
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Please cite: Jinfeng Liu and Burkhard Rost: NORSp: Predictions of long regions without regular secondary structure.. (PubMed,eprint) Nucleic Acids Res 31(13):3833-3835 (2003)
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ntcard
??? missing short description for package ntcard :-(
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Please cite: Hamid Mohamadi, Hamza Khan and Inanc Birol: ntCard: a streaming algorithm for cardinality estimation in genomics data. (PubMed,eprint) Bioinformatics 33(9):1324-1330 (2017)
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nxtrim
??? missing short description for package nxtrim :-(
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obitools
??? missing short description for package obitools :-(
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Please cite: Frédéric Boyer, Céline Mercier, Aurélie Bonin, Yvan Le Bras, Pierre Taberlet and Eric Coissac: obitools: a unix-inspired software package for DNA metabarcoding.. (PubMed,eprint) Mol. Ecol. Resour. 16(1):176-182 (2016)
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openms
??? missing short description for package openms :-(
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Please cite: Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert and Oliver Kohlbacher: OpenMS – an Open-Source Software Framework for Mass Spectrometry. (PubMed,eprint) BMC Bioinformatics 9(163) (2008)
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optimir
??? missing short description for package optimir :-(
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Please cite: Florian Thibord, Claire Perret, Maguelonne Roux, Pierre Suchon, Marine Germain, Jean-François Deleuze, Pierre-Emmanuel Morange and David-Alexandre Trégouët: OPTIMIR, a novel algorithm for integrating available genome-wide genotype data into miRNA sequence alignment analysis. RNA (2019)
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pal2nal
??? missing short description for package pal2nal :-(
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Please cite: Mikita Suyama, David Torrents and Peer Bork: PAL2NAL: robust conversion of protein sequence alignment into the corresponding codon alignments. (PubMed,eprint) Nucleic Acids Research 34:W609-W612 (2006)
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paleomix
??? missing short description for package paleomix :-(
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Please cite: Mikkel Schubert, Luca Ermini, Clio Der Sarkissian, Hákon Jónsson, Aurélien Ginolhac, Robert Schaefer, Michael D Martin, Ruth Fernández, Martin Kircher, Molly McCue, Eske Willerslev and Ludovic Orlando: Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX. (PubMed) Nature Protocols 9(5):1056-82 (2014)
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paml
??? missing short description for package paml :-(
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Please cite: Ziheng Yang: PAML 4: phylogenetic analysis by maximum likelihood. (PubMed,eprint) Molecular Biology and Evolution 24(8):1586-91 (2007)
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paraclu
??? missing short description for package paraclu :-(
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Please cite: Martin C. Frith, Eivind Valen, Anders Krogh, Yoshihide Hayashizaki, Piero Carninci and Albin Sandelin: A code for transcription initiation in mammalian genomes. (eprint) Genome Research 18(1):1-12 (2008)
parasail
??? missing short description for package parasail :-(
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parsinsert
??? missing short description for package parsinsert :-(
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The package is enhanced by the following packages: parsinsert-testdata
parsnp
??? missing short description for package parsnp :-(
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Please cite: Todd J. Treangen, Brian D. Ondov, Sergey Koren and Adam M. Phillippy: The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. (PubMed,eprint) Genome Biology 15(11):524 (2014)
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patman
??? missing short description for package patman :-(
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Please cite: Kay Prüfer, Udo Stenzel, Michael Dannemann, Richard E Green, Michael Lachmann and Janet Kelso: PatMaN: rapid alignment of short sequences to large databases. (PubMed,eprint) Bioinformatics 24(13):1530-1 (2008)
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pbdagcon
??? missing short description for package pbdagcon :-(
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pbhoney
??? missing short description for package pbhoney :-(
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pbjelly
??? missing short description for package pbjelly :-(
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pbsim
??? missing short description for package pbsim :-(
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Please cite: Yukiteru Ono, Kiyoshi Asai and Michiaki Hamada: PBSIM: PacBio reads simulator - toward accurate genome assembly. (PubMed,eprint) Bioinformatics 29(1):119-121 (2013)
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Topics: Sequence analysis
pbsuite
??? missing short description for package pbsuite :-(
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pdb2pqr
??? missing short description for package pdb2pqr :-(
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Please cite: Todd J Dolinsky, Paul Czodrowski, Hui Li, Jens E Nielsen, Jan H Jensen, Gerhard Klebe and Nathan A Baker: PDB2PQR: Expanding and upgrading automated preparation of biomolecular structures for molecular simulations. (PubMed,eprint) Nucleic Acids Research 35:W522-5 (2007)
perlprimer
??? missing short description for package perlprimer :-(
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Please cite: Owen J. Marshall: PerlPrimer: cross-platform, graphical primer design for standard, bisulphite and real-time PCR. (PubMed,eprint) Bioinformatics 20(15):2471-2472 (2004)
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perm
??? missing short description for package perm :-(
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Please cite: Yangho Chen, Tade Souaiaia and Ting Chen: PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds. (PubMed,eprint) Bioinformatics 25(19):2514-21 (2009)
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pftools
??? missing short description for package pftools :-(
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Please cite: Christian J. A. Sigrist, Lorenzo Cerutti, Nicolas Hulo, Alexandre Gattiker, Laurent Falquet, Marco Pagni, Amos Bairoch and Philipp Bucher: PROSITE: a documented database using patterns and profiles as motif descriptors. (PubMed,eprint) Briefings in Bioinformatics 3(3):265-74 (2002)
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phast
??? missing short description for package phast :-(
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Please cite: Melissa J. Hubisz, Katherine S. Pollard and Adam Siepel: PHAST and RPHAST: phylogenetic analysis with space/time models. (PubMed,eprint) Bioinformatics 12(1):41-51 (2011)
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phipack
??? missing short description for package phipack :-(
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Please cite: Trevor C. Bruen, Hervé Philippe and David Bryant: A Simple and Robust Statistical Test for Detecting the Presence of Recombination. (PubMed,eprint) Genetics 172(4):2665-2681 (2006)
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phybin
??? missing short description for package phybin :-(
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Please cite: Ryan R. Newton and Irene L.G. Newton: PhyBin: binning trees by topology. (PubMed,eprint) PeerJ 1:e187 (2013)
phylip
??? missing short description for package phylip :-(
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phylonium
??? missing short description for package phylonium :-(
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phyml
??? missing short description for package phyml :-(
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Please cite: Stéphane Guindon: Bayesian estimation of divergence times from large sequence alignments. (PubMed,eprint) Molecular Biology and Evolution 27(8):1768-81 (2010)
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physamp
??? missing short description for package physamp :-(
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Please cite: Julien Y. Dutheil and Emeric Figuet: Optimization of sequence alignments according to the number of sequences vs. number of sites trade-off. (PubMed,eprint) BMC Bioinformatics 16:160 (2015)
phyutility
??? missing short description for package phyutility :-(
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Please cite: Stephen A. Smith and Casey W. Dunn: Phyutility: a phyloinformatics utility for trees, alignments, and molecular data. (PubMed,eprint) Bioinformatics 24(5):715-716 (2008)
phyx
??? missing short description for package phyx :-(
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picard-tools
??? missing short description for package picard-tools :-(
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The package is enhanced by the following packages: multiqc
Please cite: Broad Institute: Picard toolkit. Broad Institute, GitHub repository (2019)
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Topics: Sequencing; Document, record and content management
picopore
??? missing short description for package picopore :-(
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pigx-rnaseq
??? missing short description for package pigx-rnaseq :-(
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Please cite: Ricardo Wurmus, Bora Uyar, Brendan Osberg, Vedran Franke, Alexander Gosdschan, Katarzyna Wreczycka, Jonathan Ronen and and Altuna Akalin: PiGx: Reproducible Genomics Analysis Pipelines with GNU Guix. (PubMed,eprint) GigaScience 7(12):giy123 (2018)
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piler
??? missing short description for package piler :-(
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Please cite: Robert C. Edgar and Eugene W. Myers: PILER: identification and classification of genomic repeats. (PubMed,eprint) Bioinformatics 21(suppl 1):i152-i158 (2005)
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pilercr
??? missing short description for package pilercr :-(
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Please cite: R. C. Edgar: PILER-CR: fast and accurate identification of CRISPR repeats. (PubMed,eprint) BMC Bioinformatics 8:18 (2007)
pilon
??? missing short description for package pilon :-(
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Please cite: Bruce J. Walker, Thomas Abeel, Terrance Shea, Margaret Priest, Amr Abouelliel, Sharadha Sakthikumar, Christina A. Cuomo, Qiandong Zeng, Jennifer Wortman, Sarah K. Young and Ashlee M. Earl: Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement". (PubMed,eprint) PLOSone 9(11):e11296 (2014)
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pinfish
??? missing short description for package pinfish :-(
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pique
??? missing short description for package pique :-(
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The package is enhanced by the following packages: pique-doc
pirs
??? missing short description for package pirs :-(
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Please cite: Xuesong Hu, Jianying Yuan, Yujian Shi, Jianliang Lu, Binghang Liu, Zhenyu Li, Yanxiang Chen, Desheng Mu, Hao Zhang, Nan Li, Zhen Yue, Fan Bai, Heng Li and Wei Fan: pIRS: Profile-based Illumina pair-end reads simulator. (PubMed,eprint) Bioinformatics 28(11):1533-5 (2012)
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pizzly
??? missing short description for package pizzly :-(
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placnet
??? missing short description for package placnet :-(
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Please cite: Val F. Lanza, María de Toro, M. Pilar Garcillán-Barcia, Azucena Mora, Jorge Blanco, Teresa M. Coque and Fernando de la Cruz: Plasmid Flux in Escherichia coli ST131 Sublineages, Analyzed by Plasmid Constellation Network (PLACNET), a New Method for Plasmid Reconstruction from Whole Genome Sequences. (PubMed,eprint) PLOS 10(12):e1004766 (2014)
plasmidid
??? missing short description for package plasmidid :-(
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plasmidomics
??? missing short description for package plasmidomics :-(
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plasmidseeker
??? missing short description for package plasmidseeker :-(
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Please cite: Märt Roosaare, Mikk Puustusmaa, Märt Möls, Mihkel Vaher and Maido Remm: PlasmidSeeker: identification of known plasmids from bacterial whole genome sequencing reads. (PubMed,eprint) PeerJ - Life & Environment 6:e4588 (2018)
plast
??? missing short description for package plast :-(
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Please cite: Van Hoa Nguyen and Dominique Lavenier: PLAST: parallel local alignment search tool for database comparison. (PubMed,eprint) BMC Bioinformatics 10:329 (2009)
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plink
??? missing short description for package plink :-(
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Please cite: Shaun Purcell, Benjamin Neale, Kathe Todd-Brown, Lori Thomas, Manuel A. R. Ferreira, David Bender, Julian Maller, Pamela Sklar, Paul I. W. de Bakker, Mark J. Daly and Pak C. Sham: PLINK: a toolset for whole-genome association and population-based linkage analysis. (PubMed) American Journal of Human Genetics 81(3):559-75 (2007)
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plink1.9
??? missing short description for package plink1.9 :-(
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Please cite: Christopher C. Chang, Carson C. Chow, Laurent C.A.M. Tellier, Shashaank Vattikuti, Shaun M. Purcell and James J. Lee: Second-generation PLINK: rising to the challenge of larger and richer datasets. (eprint) GigaScience 4(1):7 (2015)
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plink2
??? missing short description for package plink2 :-(
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Please cite: Christopher C. Chang, Carson C. Chow, Laurent C.A.M. Tellier, Shashaank Vattikuti, Shaun M. Purcell and James J. Lee: Second-generation PLINK: rising to the challenge of larger and richer datasets. (eprint) GigaScience 4(1):7 (2015)
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plip
??? missing short description for package plip :-(
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Please cite: Sebastian Salentin, Sven Schreiber, V. Joachim Haupt, Melissa F. Adasme and Michael Schroeder: PLIP: fully automated protein–ligand interaction profiler. (eprint) Nucleic Acids Research (W1) (2015)
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poa
??? missing short description for package poa :-(
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populations
??? missing short description for package populations :-(
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porechop
??? missing short description for package porechop :-(
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poretools
??? missing short description for package poretools :-(
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Please cite: Nicholas Loman and Aaron Quinlan: Poretools: a toolkit for analyzing nanopore sequence data. (PubMed,eprint) Bioinformatics 30(23):3399-3401 (2014)
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pplacer
??? missing short description for package pplacer :-(
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Please cite: Frederick A Matsen, Robin B Kodner and E Virginia Armbrust: pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree. (PubMed,eprint) BMC Bioinformatics 11:538 (2010)
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prank
??? missing short description for package prank :-(
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Please cite: Ari Löztznoja: Phylogeny-aware alignment with PRANK. (PubMed) Methods Mol. Biol. 1079:155-170 (2014)
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predictnls
??? missing short description for package predictnls :-(
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Please cite: Murat Cokol, Rajesh Nair and Burkhard Rost: Finding nuclear localization signals.. (PubMed,eprint) EMBO reports 1(5):411-415 (2000)
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presto
??? missing short description for package presto :-(
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Please cite: Jason A. Vander Heiden, Gur Yaari, Mohamed Uduman, Joel N.H. Stern, Kevin C. O’Connor, David A. Hafler, Francois Vigneault and Steven H. Kleinstein: pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. (PubMed,eprint) Bioinformatics 30(13):1930-1932 (2014)
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prime-phylo
??? missing short description for package prime-phylo :-(
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Please cite: Ö. Åkerborg, B. Sennblad, L. Arvestad and J. Lagergren: Simultaneous Bayesian gene tree reconstruction and reconciliation analysis. (PubMed,eprint) Proceedings of the National Academy of Sciences 106(14):5714-5719 (2009)
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primer3
??? missing short description for package primer3 :-(
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Please cite: Steve Rozen and Helen J. Skaletsky: Primer3 on the WWW for general users and for biologist programmers. (PubMed,eprint) Methods Mol Biol. 132(3):365-86 (2000)
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prinseq-lite
??? missing short description for package prinseq-lite :-(
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Please cite: Schmieder R and Edwards R: Quality control and preprocessing of metagenomic datasets. (PubMed,eprint) Bioinformatics 27(6):863-864 (2011)
proalign
??? missing short description for package proalign :-(
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Please cite: Ari Löytynoja and Michel C Milinkovitch: A hidden Markov model for progressive multiple alignment. (PubMed,eprint) Bioinformatics 19(12):1505-13 (2003)
probabel
??? missing short description for package probabel :-(
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The package is enhanced by the following packages: probabel-examples
Please cite: Yurii S Aulchenko, Maksim V Struchalin and Cornelia M van Duijn: ProbABEL package for genome-wide association analysis of imputed data.. (PubMed,eprint) BMC Bioinformatics 11:134 (2010)
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probalign
??? missing short description for package probalign :-(
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Please cite: Usman Roshan and Dennis R. Livesay: Probalign: multiple sequence alignment using partition function posterior probabilities. (PubMed,eprint) Bioinformatics 22(22):2715-21 (2006)
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probcons
??? missing short description for package probcons :-(
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Please cite: Chuong B. Do, Mahathi S.P. Mahabhashyam, Michael Brudno and Serafim Batzoglou: ProbCons: Probabilistic consistency-based multiple sequence alignment. (PubMed,eprint) Genome Research 15(2):330-340 (2005)
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proda
??? missing short description for package proda :-(
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Please cite: Tu Minh Phuong, Chuong B. Do, Robert C. Edgar and Serafim Batzoglou: Multiple alignment of protein sequences with repeats and rearrangements. (PubMed,eprint) Nucl. Acids Res. 34(20):5932-5942 (2006)
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prodigal
??? missing short description for package prodigal :-(
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Please cite: Doug Hyatt, Gwo-Liang Chen, Philip F. Locascio, Miriam L. Land, Frank W. Larimer and Loren J. Hauser: Prodigal: prokaryotic gene recognition and translation initiation site identification. (PubMed,eprint) BMC Bioinformatics 11:119 (2010)
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profbval
??? missing short description for package profbval :-(
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Please cite: Avner Schlessinger, Guy Yachdav and Burkhard Rost: PROFbval: predict flexible and rigid residues in proteins.. (PubMed) Bioinformatics 22(7):891-3 (2006)
profisis
??? missing short description for package profisis :-(
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Please cite: Yanay Ofran and Burkhard Rost: ISIS: interaction sites identified from sequence. (PubMed,eprint) Bioinformatics 23(2):e13-e16 (2007)
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profnet-bval
??? missing short description for package profnet-bval :-(
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Please cite: Avner Schlessinger, Guy Yachdav and Burkhard Rost: OPRFbval: predict flexible and rigid residues in proteins. (PubMed,eprint) Bioinformatics 22(7):891-893 (2006 Apr 1)
profnet-chop
??? missing short description for package profnet-chop :-(
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profnet-con
??? missing short description for package profnet-con :-(
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profnet-isis
??? missing short description for package profnet-isis :-(
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profnet-md
??? missing short description for package profnet-md :-(
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profnet-norsnet
??? missing short description for package profnet-norsnet :-(
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profnet-prof
??? missing short description for package profnet-prof :-(
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profnet-snapfun
??? missing short description for package profnet-snapfun :-(
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profphd-net
??? missing short description for package profphd-net :-(
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profphd-utils
??? missing short description for package profphd-utils :-(
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proftmb
??? missing short description for package proftmb :-(
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Please cite: H. Bigelow and B. Rost: PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins.. (PubMed) Nucleic Acids Res 34(Web Server issue):W186-8 (2006)
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progressivemauve
??? missing short description for package progressivemauve :-(
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Please cite: Aaron E. Darling, Bob Mau and Nicole T. Perna: progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangement. (PubMed,eprint) PloS one 5(6):e11147 (2010)
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prokka
??? missing short description for package prokka :-(
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The package is enhanced by the following packages: multiqc
Please cite: Torsten Seemann: Prokka: rapid prokaryotic genome annotation. (PubMed,eprint) Bioinformatics 30(14):2068-2069 (2014)
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proteinortho
??? missing short description for package proteinortho :-(
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Please cite: Marcus Lechner, Sven Findeiß, Lydia Steiner, Manja Marz, Peter F Stadler and Sonja J Prohaska: Proteinortho: Detection of (Co-)orthologs in large-scale analysis. (PubMed,eprint) BMC Bioinformatics 12:124 (2011)
prottest
??? missing short description for package prottest :-(
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Please cite: Diego Darriba, Guillermo L. Taboada, Ramón Doallo and David Posada: ProtTest 3: fast selection of best-fit models of protein evolution. (PubMed,eprint) Bioinformatics 27(8):1164-5 (2011)
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provean
??? missing short description for package provean :-(
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pscan-chip
??? missing short description for package pscan-chip :-(
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pscan-tfbs
??? missing short description for package pscan-tfbs :-(
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Please cite: Federico Zambelli, Graziano Pesole and Giulio Pavesi: Pscan: Finding Over-represented Transcription Factor Binding Site Motifs in Sequences from Co-Regulated or Co-Expressed Genes. (PubMed,eprint) Nucleic Acids Research 37(Web Server Issue):W247-W252 (2009)
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psortb
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Please cite: Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, S. Cenk Sahinalp, Martin Ester, Leonard J. Foster and F. S. Brinkman: PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. (PubMed,eprint) Bioinformatics 26(13):1608-1615 (2010)
pullseq
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pycoqc
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pycorrfit
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Please cite: Paul Müller, Petra Schwille and Thomas Weidemann: PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy. (PubMed) Bioinformatics 30(17):2532–2533 (2014)
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pyensembl
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pyfastx
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Please cite: Lianming Du, Qin Liu, Zhenxin Fan, Jie Tang, Xiuyue Zhang, Megan Price, Bisong Yue and Kelei Zhao: Pyfastx: a robust Python package for fast random access to sequences from plain and gzipped FASTA/Q files. (PubMed) Briefings in Bioinformatics 22(4) (2021)
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pyscanfcs
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python3-biomaj3-daemon
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python3-cogent3
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Please cite: Rob Knight, Peter Maxwell, Amanda Birmingham, Jason Carnes, J Gregory Caporaso, Brett C Easton, Michael Eaton, Micah Hamady, Helen Lindsay, Zongzhi Liu, Catherine Lozupone, Daniel McDonald, Michael Robeson, Raymond Sammut, Sandra Smit, Matthew J Wakefield, Jeremy Widmann, Shandy Wikman, Stephanie Wilson, Hua Ying and Gavin A Huttley: PyCogent: a toolkit for making sense from sequence. (PubMed,eprint) Genome Biology 8(8):R171 (2007)
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Please cite: Yoshiki Vázquez-Baeza, Meg Pirrung, Antonio Gonzalez and Rob Knight: EMPeror: a tool for visualizing high-throughput microbial community data. (PubMed) Gigascience 2(1):16 (2013)
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python3-pybedtools
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Please cite: R. K. Dale, B. S. Pedersen and A. R. Quinlan: Pybedtools: a flexible Python library for manipulating genomic datasets and annotations". Bioinformatics 27(24):3423-3424 (2011)
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python3-sqt
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qcat
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qcumber
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qiime
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Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (PubMed,eprint) Nature Biotechnology 37:852 - 857 (2019)
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qtltools
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Please cite: Olivier Delaneau, Halit Ongen, Andrew A. Brown, Alexandre Fort, Nikolaos I. Panousis and Emmanouil T. Dermitzakis: A complete tool set for molecular QTL discovery and analysis. (eprint) Nature Communications (2017)
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quicktree
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quorum
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Please cite: Guillaume Marçais, James A. Yorke and Aleksey Zimin: QuorUM: An Error Corrector for Illumina Reads. (PubMed,eprint) PLoS One 10(6):e0130821 (2015)
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qutemol
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Please cite: Marco Tarini, Paolo Cignoni and Claudio Montani: Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization. (eprint) IEEE Transactions on Visualization and Computer Graphics 12(5):1237-1244 (2006)
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r-bioc-annotate
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r-bioc-bitseq
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Please cite: Peter Glaus, Antti Honkela and Magnus Rattray: Identifying differentially expressed transcripts from RNA-seq data with biological variation. (PubMed,eprint) Bioinformatics 28(13):1721–1728 (2012)
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Please cite: L. Goff and C. Trapnell: cummeRbund: Analysis, exploration, manipulation, and visualization of Cufflinks high-throughput sequencing data (2012)
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r-bioc-deseq2
??? missing short description for package r-bioc-deseq2 :-(
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Please cite: Michael I Love, Wolfgang Huber and Simon Anders: Moderated estimation of fold change and dispersion for {RNA}-seq data with {DESeq}2. (eprint) Genome Biol 15(12) (2014)
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r-bioc-ebseq
??? missing short description for package r-bioc-ebseq :-(
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r-bioc-edger
??? missing short description for package r-bioc-edger :-(
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Please cite: Mark D. Robinson, Davis J. McCarthy and Gordon K. Smyth: edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. (PubMed,eprint) Bioinformatics 26,:139-140 (2010)
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r-bioc-genefilter
??? missing short description for package r-bioc-genefilter :-(
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r-bioc-geoquery
??? missing short description for package r-bioc-geoquery :-(
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Please cite: Sean Davis and Paul Meltzer: GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor Bioinformatics 14,:1846-1847, (2007,)
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r-bioc-hilbertvis
??? missing short description for package r-bioc-hilbertvis :-(
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Please cite: Simon Anders: Visualization of genomic data with the Hilbert curve. (PubMed,eprint) Bioinformatics 25(10):1231-1235 (2009)
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Remark of Debian Med team: It would be interesting to package HilbertVisGUI as well.
r-bioc-htsfilter
??? missing short description for package r-bioc-htsfilter :-(
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r-bioc-impute
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r-bioc-limma
??? missing short description for package r-bioc-limma :-(
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Please cite: Gordon K. Smyth: Limma: linear models for microarray data. (eprint) :397-420 (2005)
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r-bioc-megadepth
??? missing short description for package r-bioc-megadepth :-(
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r-bioc-mergeomics
??? missing short description for package r-bioc-mergeomics :-(
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Please cite: Le Shu, Yuqi Zhao, Zeyneb Kurt, Sean Geoffrey Byars, Taru Tukiainen, Johannes Kettunen, Luz D. Orozco, Matteo Pellegrini, Aldons J. Lusis, Samuli Ripatti, Bin Zhang, Michael Inouye, Ville-Petteri Mäkinen and Xia Yang: Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems. (eprint) BMC Genomics (2016)
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r-bioc-metagenomeseq
??? missing short description for package r-bioc-metagenomeseq :-(
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r-bioc-mofa
??? missing short description for package r-bioc-mofa :-(
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Please cite: Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber and Oliver Stegle: Link to publication Mol Syst Biol 14:e8124 (2018)
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r-bioc-mofa2
??? missing short description for package r-bioc-mofa2 :-(
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r-bioc-multiassayexperiment
??? missing short description for package r-bioc-multiassayexperiment :-(
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r-bioc-mutationalpatterns
??? missing short description for package r-bioc-mutationalpatterns :-(
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r-bioc-phyloseq
??? missing short description for package r-bioc-phyloseq :-(
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Please cite: Paul J. McMurdie and Susan Holmes: phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE 8(4):e61217 (2013)
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r-bioc-rtracklayer
??? missing short description for package r-bioc-rtracklayer :-(
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Please cite: Michael Lawrence, Robert Gentleman and "Vincent Carey: rtracklayer: an R package for interfacing with genome browsers. (PubMed,eprint) Bioinformatics 25(14):1841-1842 (2009)
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r-bioc-scater
??? missing short description for package r-bioc-scater :-(
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Please cite: McCarthy DJ, Campbell KR, Lun ATL and Willis QF: Scater: pre-processing, quality control, normalisation and visualisation of single-cell RNA-seq data in R. Bioinformatics 33:1179-1186 (2017)
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r-bioc-tfbstools
??? missing short description for package r-bioc-tfbstools :-(
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Please cite: Ge Tan and Boris Lenhard: TFBSTools: an R/bioconductor package for transcription factor binding site analysis. (PubMed,eprint) Bioinformatics 32(10):1555–1556 (2016)
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r-cran-adegenet
??? missing short description for package r-cran-adegenet :-(
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Please cite: Thibaut Jombart: adegenet: a R package for the multivariate analysis of genetic markers. (PubMed,eprint) Bioinformatics 24(11):1403-5 (2008)
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r-cran-adephylo
??? missing short description for package r-cran-adephylo :-(
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Please cite: Thibaut Jombart, François Balloux and Stéphane Dray: adephylo: new tools for investigating the phylogenetic signal in biological traits. (PubMed,eprint) Bioinformatics 26(15):1907-1909 (2010)
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r-cran-alakazam
??? missing short description for package r-cran-alakazam :-(
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Please cite: Namita T. Gupta, Jason A. Vander Heiden, Mohamed Uduman, Daniel Gadala-Maria, Gur Yaari and Steven H. Kleinstein: Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. (eprint) 31(20):3356–3358 (2017)
r-cran-ape
??? missing short description for package r-cran-ape :-(
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Please cite: Emmanuel Paradis and Klaus Schliep: ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics (2018)
r-cran-bio3d
??? missing short description for package r-cran-bio3d :-(
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Please cite: Barry J. Grant, Ana P. C. Rodrigues, Karim M. ElSawy, J. Andrew McCammon and Leo S. D. Caves: Bio3d: an R package for the comparative analysis of protein structures. (PubMed,eprint) Bioinformatics 22(21):2695-2696 (2006)
r-cran-distory
??? missing short description for package r-cran-distory :-(
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r-cran-genabel
??? missing short description for package r-cran-genabel :-(
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Please cite: Yurii S. Aulchenko, Stephan Ripke, Aaron Isaacs and Cornelia M. van Duijn: GenABEL: an R library for genome-wide association analysis. (PubMed,eprint) Bioinformatics 23(10):1294-1296 (2007)
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r-cran-kaos
??? missing short description for package r-cran-kaos :-(
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Please cite: Hannah F. Löchel, Dominic Eger, Theodor Sperlea and Dominik Heider: Deep learning on chaos game representation for proteins. Bioinformatics (2019)
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r-cran-phangorn
??? missing short description for package r-cran-phangorn :-(
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Please cite: K.P. Schliep: phangorn: phylogenetic analysis in R. (PubMed) Bioinformatics 27(4):592-593 (2011)
r-cran-phytools
??? missing short description for package r-cran-phytools :-(
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Please cite: Liam J. Revell: phytools: an R package for phylogenetic comparative biology (and other things). (eprint) Methods in Ecology and Evolution 3(2):217-223 (2012)
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r-cran-pscbs
??? missing short description for package r-cran-pscbs :-(
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Please cite: Adam B. Olshen, Henrik Bengtsson, Pierre Neuvial, Paul T. Spellman, Richard A. Olshen and Venkatraman E. Seshan: Parent-specific copy number in paired tumor-normal studies using circular binary segmentation. (PubMed,eprint) Bioinformatics 27(15):2038-2046 (2011)
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r-cran-qtl
??? missing short description for package r-cran-qtl :-(
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Please cite: Karl W. Broman, Hao Wu, Saunak Sen and Gary A. Churchill: R/qtl: QTL mapping in experimental crosses. (PubMed,eprint) Bioinformatics 19:889-890 (2003)
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r-cran-rotl
??? missing short description for package r-cran-rotl :-(
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r-cran-samr
??? missing short description for package r-cran-samr :-(
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r-cran-seqinr
??? missing short description for package r-cran-seqinr :-(
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r-cran-seurat
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Please cite: Rahul Satija, Jeffrey A. Farrell, David Gennert, Alexander F. Schier and Aviv Regev: Spatial reconstruction of single-cell gene expression data. (PubMed) Nature Biotechnology 33:495–502 (2015)
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r-cran-shazam
??? missing short description for package r-cran-shazam :-(
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Please cite: Namita T. Gupta, Jason A. Vander Heiden, Mohamed Uduman, Daniel Gadala-Maria, Gur Yaari and Steven H. Kleinstein: Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data.. (PubMed,eprint) Bioinformatics 31(20):3356-3358 (2015)
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r-cran-spp
??? missing short description for package r-cran-spp :-(
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Please cite: Peter V Kharchenko, Michael Y Tolstorukov and Peter J Park: Design and analysis of ChIP-seq experiments for DNA-binding proteins. (PubMed) Nature biotechnology 26(12):1351–1359 (2008)
r-cran-tigger
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Please cite: Namita T. Gupta, Jason A. Vander Heiden, Mohamed Uduman, Daniel Gadala-Maria, Gur Yaari and Steven H. Kleinstein: Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. (eprint) 31(20):3356–3358 (2017)
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r-cran-treespace
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r-cran-tsne
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r-cran-vegan
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r-cran-webgestaltr
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r-cran-wgcna
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Please cite: Peter Langfelder and Steve Horvath: WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 9:559 (2012)
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r-other-ascat
??? missing short description for package r-other-ascat :-(
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Please cite: Peter Van Loo, Silje H Nordgard, Ole Christian Lingjærde, Hege G Russnes, Inga H Rye, Wei Sun, Victor J Weigman, Peter Marynen, Anders Zetterberg, Bjørn Naume, Charles M Perou, Anne-Lise Børresen-Dale and Vessela N Kristensen: Allele-specific Copy Number Analysis of Tumors. (PubMed) PNAS 107(39):16910-5 (2010)
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r-other-mott-happy.hbrem
??? missing short description for package r-other-mott-happy.hbrem :-(
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Please cite: Richard Mott, Christopher J. Talbot, Maria G. Turri, Allan C. Collins and Jonathan Flint: A method for fine mapping quantitative trait loci in outbred animal stocks. (PubMed,eprint) Proc. Natl. Acad. Sci. USA 97(23):12649-12654 (2000)
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r-other-rajewsky-dropbead
??? missing short description for package r-other-rajewsky-dropbead :-(
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Please cite: J. Alles, N. Karaiskos, S. Praktiknjo, S. Grosswendt, P. Wahle, P.-L. Ruffault, S. Ayoub, L. Schreyer, A. Boltengagen, C. Birchmeier, R. Zinzen an, C. Kocks and N. Rajewsky: Cell fixation and preservation for droplet-based single-cell transcriptomics. (PubMed,eprint) BMC Biology 15(44) (2017)
racon
??? missing short description for package racon :-(
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Please cite: Robert Vaser, Ivan Sovic, Niranjan Nagarajan and Mile Sikic: Fast and accurate de novo genome assembly from long uncorrected reads. (PubMed,eprint) Genome Research 27(5):737-746 (2017)
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radiant
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Please cite: Brian D Ondov, Nicholas H Bergman and Adam M Phillippy: Interactive metagenomic visualization in a Web browser. (PubMed,eprint) BMC Bioinformatics 12:385 (2011)
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ragout
??? missing short description for package ragout :-(
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Please cite: Mikhail Kolmogorov, Joel Armstrong, Brian J. Raney, Ian Streeter, Matthew Dunn, Fengtang Yang, Duncan Odom, Paul Flicek, Thomas M. Keane, David Thybert, Benedict Paten and Son Pham: Chromosome assembly of large and complex genomes using multiple references. (PubMed,eprint) Genome Research 28(11):1720-1732 (2018)
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rambo-k
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Please cite: Simon H. Tausch, Bernhard Y. Renard, Andreas Nitsche and Piotr Wojciech Dabrowski: RAMBO-K: Rapid and Sensitive Removal of Background Sequences from Next Generation Sequencing Data. (PubMed,eprint) PLOS one 10(9):e0137896 (20015)
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rampler
??? missing short description for package rampler :-(
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rapmap
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Please cite: Avi Srivastava, Hirak Sarkar, Nitish Gupta and Rob Patro: RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes. (PubMed,eprint) Bioinformatics 32(12):i192-i200 (2016)
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rasmol
??? missing short description for package rasmol :-(
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The package is enhanced by the following packages: rasmol-doc
Please cite: Roger A. Sayle and E. James Milner-White: RasMol: Biomolecular graphics for all. (PubMed) Trends in Biochemical Sciences (TIBS) 20(9):374 (1995)
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raster3d
??? missing short description for package raster3d :-(
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Please cite: E.A. Merritt and D.J. Bacon: Raster3D Photorealistic Molecular Graphics. (PubMed) Methods in Enzymology 277:505-524 (1997)
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rate4site
??? missing short description for package rate4site :-(
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Please cite: I. Mayrose, D. Graur, N. Ben-Tal and T. and Pupko: Comparison of site-specific rate-inference methods: Bayesian methods are superior. (PubMed,eprint) Mol Biol Evol 21(2):1781-1791 (2004)
raxml
??? missing short description for package raxml :-(
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Please cite: Alexandros Stamatakis: RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. (PubMed,eprint) Bioinformatics Epub ahead of print (2014)
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ray
??? missing short description for package ray :-(
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Please cite: Sébastien Boisvert, François Laviolette and Jacques Corbeil: Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies. (PubMed,eprint) Journal of Computational Biology 17(11):1519-1533 (2010)
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rdp-alignment
??? missing short description for package rdp-alignment :-(
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Please cite: Jordan A. Fish, Benli Chai, Qiong Wang, Yanni Sun, C. Titus Brown, James M. Tiedje and James R Cole: FunGene: the functional gene pipeline and repository. (PubMed,eprint) Front Microbiology 4:291 (2013)
rdp-classifier
??? missing short description for package rdp-classifier :-(
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Please cite: Qiong Wang, George M. Garrity, James M. Tiedje and James R. Cole: Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. (PubMed,eprint) Appl Environ Microbiol. 73(16):5261-7 (2007)
rdp-readseq
??? missing short description for package rdp-readseq :-(
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readseq
??? missing short description for package readseq :-(
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Please cite: Don Gilbert: Sequence file format conversion with command-line readseq. (PubMed,eprint) Current Protocols in Bioinformatics Appendix 1:E (2003)
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readucks
??? missing short description for package readucks :-(
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reapr
??? missing short description for package reapr :-(
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Please cite: Martin Hunt, Taisei Kikuchi, Mandy Sanders, Chris Newbold, Matthew Berriman and Thomas D Otto: REAPR: a universal tool for genome assembly evaluation. (PubMed,eprint) Genome Biology 14(5):R47 (2013)
recan
??? missing short description for package recan :-(
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relion
??? missing short description for package relion :-(
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Please cite: Sjors H. W. Scheres: RELION: implementation of a Bayesian approach to cryo-EM structure determination. (PubMed) J. Struct. Biol. 180(3):519-30 (2012)
relion-gui
??? missing short description for package relion-gui :-(
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repeatmasker-recon
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Please cite: Zhirong Bao and Sean R. Eddy: Automated De Novo Identification of Repeat Sequence Families in Sequenced Genomes. (PubMed,eprint) Genome Research 12(8):1269-76 (2002)
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resfinder
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rna-star
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rnahybrid
??? missing short description for package rnahybrid :-(
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Please cite: Marc Rehmsmeier, Peter Steffen, Matthias Höchsmann and Robert Giegerich: Fast and effective prediction of microRNA/target duplexes. (PubMed,eprint) RNA 10(10):1507-1517 (2004)
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roary
??? missing short description for package roary :-(
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Please cite: Andrew J. Page, Carla A. Cummins, Martin Hunt, Vanessa K. Wong, Sandra Reuter, Matthew T. G. Holden, Maria Fookes, Daniel Falush, Jacqueline A. Keane and Julian Parkhill: Roary: Rapid large-scale prokaryote pan genome analysis. (PubMed,eprint) Bioinformatics 31(22):3691-3693 (2015)
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rockhopper
??? missing short description for package rockhopper :-(
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roguenarok
??? missing short description for package roguenarok :-(
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Please cite: Andre J. Aberer, Denis Krompass and Alexandros Stamatakis: Pruning Rogue Taxa Improves Phylogenetic Accuracy: An Efficient Algorithm and Webservice. (PubMed,eprint) Systematic Biology 62(1):162-166 (2013)
rsem
??? missing short description for package rsem :-(
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The package is enhanced by the following packages: multiqc
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rtax
??? missing short description for package rtax :-(
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Please cite: David A. W. Soergel, Neelendu Dey, Rob Knight and Steven E. Brenner: Selection of primers for optimal taxonomic classification of environmental 16S rRNA gene sequences. (PubMed,eprint) The ISME Journal 6:1440–1444 (2012)
runcircos-gui
??? missing short description for package runcircos-gui :-(
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saint
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Please cite: A. Breitkreutz, H. Choi, J.R. Sharom, L. Boucher, V. Neduva, B. Larsen, Z.Y. Lin, B.J. Breitkreutz, C. Stark, G. Liu, J. Ahn, D. Dewar-Darch, T. Reguly, X. Tang, R. Almeida, Z.S. Qin, T. Pawson, A.-C. Gingras, A.I. Nesvizhskii and M. Tyers: A global protein kinase and phosphatase interaction network in yeast. (PubMed) Science 328(5981):1043-6 (2010)
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salmid
??? missing short description for package salmid :-(
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salmon
??? missing short description for package salmon :-(
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Please cite: Rob Patro, Geet Duggal, Michael I Love, Rafael A Irizarry and Carl Kingsford: Salmon provides fast and bias-aware quantification of transcript expression. (eprint) Nature Methods 14(4):417-419 (2017)
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sambamba
??? missing short description for package sambamba :-(
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Please cite: Artem Tarasov, Albert J. Vilella, Edwin Cuppen, Isaac J. Nijman and Pjotr Prins: Sambamba: fast processing of NGS alignment formats. (PubMed,eprint) Bioinformatics 31(12):2032-2034 (2015)
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samblaster
??? missing short description for package samblaster :-(
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Please cite: Gregory G. Faust and Ira M. Hall: SAMBLASTER: fast duplicate marking and structural variant read extraction. (PubMed,eprint) Bioinformatics 30(17):2503-2505 (2014)
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samclip
??? missing short description for package samclip :-(
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samtools
??? missing short description for package samtools :-(
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The package is enhanced by the following packages: libbio-samtools-perl multiqc
Please cite: Heng Li, Bob Handsaker, Alec Wysoker, Tim Fennell, Jue Ruan, Nils Homer, Gabor Marth, Goncalo Abecasis, Richard Durbin and 1000 Genome Project Data Processing Subgroup: The Sequence Alignment/Map (SAM) Format and SAMtools. (PubMed,eprint) Bioinformatics 25(16):2078-2079 (2009)
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savvy-util
??? missing short description for package savvy-util :-(
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scoary
??? missing short description for package scoary :-(
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Please cite: Ola Brynildsrud, Jon Bohlin, Lonneke Scheffer and Vegard Eldholm: Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary. (PubMed,eprint) Genome Biology 17(238) (2016)
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scrappie
??? missing short description for package scrappie :-(
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Please cite: Ryan R. Wick, Louise M. Judd and Kathryn E. Holt: Performance of neural network basecalling tools for Oxford Nanopore sequencing.. (eprint) Genome Biol. 20:129 (2019)
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scrm
??? missing short description for package scrm :-(
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Please cite: Paul R. Staab, Sha Zhu, Dirk Metzler and Gerton Lunter: scrm: efficiently simulating long sequences using the approximated coalescent with recombination.. (2015)
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scythe
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seaview
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The package is enhanced by the following packages: muscle muscle3
Please cite: Manolo Gouy, Stephane Guindon and Olivier Gascuel: SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. (PubMed,eprint) Mol Biol Evol 27(2):221-224 (2010)
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seer
??? missing short description for package seer :-(
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Please cite: John A Lees, Minna Vehkala, Niko Välimäki, Simon R Harris, Claire Chewapreecha, Nicholas J Croucher, Pekka Marttinen, Mark R Davies, Andrew C Steer, Stephen Y C Tong, Antti Honkela, Julian Parkhill, Stephen D Bentley and Jukka Corander: Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes. (eprint) bioRxiv (2016)
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segemehl
??? missing short description for package segemehl :-(
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Please cite: Steve Hoffmann, Christian Otto, Stefan Kurtz, Cynthia M. Sharma, Philipp Khaitovich, Jörg Vogel, Peter F. Stadler and Jörg Hackermüller: Fast Mapping of Short Sequences with Mismatches, Insertions and Deletions Using Index Structures. (PubMed,eprint) PLoS Computational Biology 5(9):e1000502 (2009)
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sepp
??? missing short description for package sepp :-(
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seqan-apps
??? missing short description for package seqan-apps :-(
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Please cite: Andreas Doring, David Weese, Tobias Rausch and Knut Reinert: SeqAn An efficient, generic C++ library for sequence analysis. (PubMed,eprint) BMC Bioinformatics 9(1):11 (2008)
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seqan-needle
??? missing short description for package seqan-needle :-(
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seqan-raptor
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Please cite: Enrico Seiler, Svenja Mehringer, Mitra Darvish, Etienne Turc and Knut Reinert: Raptor: A fast and space-efficient pre-filter for querying very large collections of nucleotide sequences. iScience 24(7) (2021)
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seqkit
??? missing short description for package seqkit :-(
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Please cite: Wei Shen, Shuai Le, Yan Li and Fuquan Hu: SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation. (PubMed,eprint) PlosOne 11(10):e0163962 (2016)
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seqmagick
??? missing short description for package seqmagick :-(
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seqprep
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seqsero
??? missing short description for package seqsero :-(
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Please cite: Shaokang Zhang, Yanlong Yin, Marcus B. Jones, Zhenzhen Zhang, Brooke L. Deatherage Kaiser, Blake A. Dinsmore, Collette Fitzgerald, Patricia I. Fields and Xiangyu Deng: Salmonella Serotype Determination Utilizing High-throughput Genome Sequencing Data. (PubMed,eprint) Journal of Clinical Microbiology 53(5):1685-92 (2015)
seqtk
??? missing short description for package seqtk :-(
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sga
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Please cite: Jared T. Simpson and Richard Durbin: Efficient de novo assembly of large genomes using compressed data structures.. (PubMed,eprint) Genome Res 22(3):549-555 (2012)
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shasta
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Please cite: K. Shafin, T. Pesout and R. Lorig-Roach et al.: Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes. Nature Biotechnology (2020)
shovill
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sibelia
??? missing short description for package sibelia :-(
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Please cite: Ilya Minkin, Anand Patel, Mikhail Kolmogorov, Nikolay Vyahhi and Son Pham: Sibelia: A Scalable and Comprehensive Synteny Block Generation Tool for Closely Related Microbial Genomes. Lecture Notes in Computer Science (2013)
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sibsim4
??? missing short description for package sibsim4 :-(
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sickle
??? missing short description for package sickle :-(
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The package is enhanced by the following packages: multiqc
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sideretro
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sigma-align
??? missing short description for package sigma-align :-(
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Please cite: Siddharthan, Rahul: Sigma: multiple alignment of weakly-conserved non-coding DNA sequence. (PubMed) BMC Bioinformatics 7(1):143 (2006)
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sim4
??? missing short description for package sim4 :-(
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Please cite: Liliana Florea, George Hartzell, Zheng Zhang, Gerald M. Rubin and Webb Miller: A Computer Program for Aligning a cDNA Sequence with a Genomic DNA Sequence. (PubMed,eprint) Genome Research 8:967-974 (1998)
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sim4db
??? missing short description for package sim4db :-(
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The package is enhanced by the following packages: kmer-examples
Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
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simka
??? missing short description for package simka :-(
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Please cite: Gaëtan Benoit, Pierre Peterlongo, Mahendra Mariadassou, Erwan Drezen, Sophie Schbath, Domonique Lavenier and Claire Lemaitre: Multiple comparative metagenomics using multiset k-mer counting. :25 (2016)
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simkamin
??? missing short description for package simkamin :-(
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Please cite: Gaëtan Benoit, Pierre Peterlongo, Mahendra Mariadassou, Erwan Drezen, Sophie Schbath, Domonique Lavenier and Claire Lemaitre: Multiple comparative metagenomics using multiset k-mer counting. :25 (2016)
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ska
??? missing short description for package ska :-(
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skesa
??? missing short description for package skesa :-(
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Please cite: Alexandre Souvorov, Richa Agarwala and David J. Lipman: SKESA: strategic k-mer extension for scrupulous assemblies. (PubMed,eprint) Genome Biology 19(1):153 (2018)
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skewer
??? missing short description for package skewer :-(
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The package is enhanced by the following packages: multiqc
Please cite: H. Jiang, R. Lei, S. W. Ding and S. Zhu: Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads.. (eprint) BMC Bioinformatics 15:182 (2014)
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smalt
??? missing short description for package smalt :-(
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Remark of Debian Med team: This can be regarded as successor of ssaha2

This program is from the same author as ssaha2 and according to its author faster and more precise than ssaha2 (except for sequences > 2000bp).

smithwaterman
??? missing short description for package smithwaterman :-(
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smrtanalysis
??? missing short description for package smrtanalysis :-(
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snap
??? missing short description for package snap :-(
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Please cite: Ian Korf: Gene finding in novel Genomes. (PubMed,eprint) BMC Bioinformatics 5:59 (2004)
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snap-aligner
??? missing short description for package snap-aligner :-(
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Please cite: Matei Zaharia, William J. Bolosky, Kristal Curtis, Armando Fox, David Patterson, Scott Shenker, Ion Stoica, Richard M. Karp and Taylor Sittler: Faster and More Accurate Sequence Alignment with SNAP. (eprint) arXiv preprint arXiv:1111.5572 (2011)
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sniffles
??? missing short description for package sniffles :-(
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Please cite: Fritz J. Sedlazeck, Philipp Rescheneder, Moritz Smolka, Han Fang, Maria Nattestad, Arndt von Haeseler and Michael Schatz: Accurate detection of complex structural variations using single molecule sequencing. (eprint) bioRxiv (2017)
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snippy
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snp-sites
??? missing short description for package snp-sites :-(
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Please cite: Andrew J. Page, Ben Taylor, Aidan J. Delaney, Jorge Soares, Torsten Seemann, Jacqueline A. Keane and Simon R. Harris: SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. (eprint) Microbial Genomics 2(4) (2016)
Topics: Genetic variation
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snpeff
??? missing short description for package snpeff :-(
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The package is enhanced by the following packages: multiqc
Please cite: Pablo Cingolani, Adrian Platts, Le Lily Wang, Melissa Coon, Tung Nguyen, Luan Wang, Susan J. Land, Douglas M. Ruden and Xiangyi Lu: A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w^1118; iso-2; iso-3. (PubMed,eprint) Fly 6(2):80-92 (2012)
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snpomatic
??? missing short description for package snpomatic :-(
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Please cite: Heinrich Magnus Manske and Dominic P. Kwiatkowski: SNP-o-matic. (PubMed,eprint) Bioinformatics 25(18):2434-2435 (2009)
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Topics: Genetic variation; Mapping
snpsift
??? missing short description for package snpsift :-(
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soapaligner
??? missing short description for package soapaligner :-(
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Please cite: Ruiqiang Li, Yingrui Li, Karsten Kristiansen and Jun Wang: SOAP: short oligonucleotide alignment program. (PubMed,eprint) Genome Res. 24(5):713-714 (2008)
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soapdenovo
??? missing short description for package soapdenovo :-(
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Please cite: Ruiqiang Li, Hongmei Zhu, Jue Ruan, Wubin Qian, Xiaodong Fang, Zhongbin Shi, Yingrui Li, Shengting Li, Gao Shan, Karsten Kristiansen, Songgang Li, Huanming Yang, Jian Wang and Jun Wang: De novo assembly of human genomes with massively parallel short read sequencing. (PubMed,eprint) Genome Research 20(2):265-72 (2009)
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soapdenovo2
??? missing short description for package soapdenovo2 :-(
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Please cite: Ruibang Luo, Binghang Liu, Yinlong Xie, Zhenyu Li, Weihua Huang, Jianying Yuan, Guangzhu He, Yanxiang Chen, Qi Pan, Yunjie Liu, Jingbo Tang, Gengxiong Wu, Hao Zhang, Yujian Shi, Yong Liu, Chang Yu, Bo Wang, Yao Lu, Changlei Han, David W Cheung, Siu-Ming Yiu, Shaoliang Peng, Zhu Xiaoqian, Guangming Liu, Xiangke Liao, Yingrui Li, Huanming Yang, Jian Wang, Tak-Wah Lam and Jun Wang: SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Giga Science 1(1):18 (2012)
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soapsnp
??? missing short description for package soapsnp :-(
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Please cite: Li R, Li Y, Fang X, Yang H, Wang J, Kristiansen K and Wang J.: SNP detection for massively parallel whole-genome resequencing. (PubMed,eprint) Genome Res. 19(6):1124-1132 (2009)
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sortmerna
??? missing short description for package sortmerna :-(
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The package is enhanced by the following packages: multiqc
Please cite: Evguenia Kopylova, Laurent Noé and Hélène Touzet: SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data". (PubMed,eprint) Bioinformatics 28(24):3211-3217 (2012)
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sourmash
??? missing short description for package sourmash :-(
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Please cite: C. Titus Brown and Luiz Irber: sourmash: a library for MinHash sketching of DNA. (eprint) The Journal of Open Source Software 1(5):27 (2016)
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spaced
??? missing short description for package spaced :-(
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Please cite: Burkhard Morgenstern, Bingyao Zhu, Sebastian Horwege and Chris-Andre Leimeister: Estimating evolutionary distances between genomic sequences from spaced-words matches. (PubMed,eprint) Algorithms for Molecular Biology 10(1):1-12 (2015)
spades
??? missing short description for package spades :-(
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Please cite: Anton Bankevich, Sergey Nurk, Dmitry Antipov, Alexey A. Gurevich, Mikhail Dvorkin, Alexander S. Kulikov, Valery M. Lesin, Sergey I. Nikolenko, Son Pham, Andrey D. Prjibelski, Alexey V. Pyshkin, Alexander V. Sirotkin, Nikolay Vyahhi, Glenn Tesler, Max A. Alekseyev and Pavel A. Pevzner: SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. (PubMed,eprint) Journal of Computational Biology 19(5):455-477 (2012)
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spaln
??? missing short description for package spaln :-(
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spoa
??? missing short description for package spoa :-(
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sprai
??? missing short description for package sprai :-(
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spread-phy
??? missing short description for package spread-phy :-(
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Please cite: Filip Bielejec, Andrew Rambaut, Marc A. Suchard and Philippe Lemey: SPREAD: spatial phylogenetic reconstruction of evolutionary dynamics. (PubMed,eprint) Bioinformatics 27(20):2910-2912 (2011)
sra-toolkit
??? missing short description for package sra-toolkit :-(
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srst2
??? missing short description for package srst2 :-(
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Please cite: Michael Inouye, Harriet Dashnow, Lesley-Ann Raven, Mark B Schultz, Bernard J Pope, Takehiro Tomita, Justin Zobel and Kathryn E Holt: SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. (PubMed,eprint) Genome Medicine 6(11):90 (2014)
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ssake
??? missing short description for package ssake :-(
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Please cite: Rene L. Warren, Granger G. Sutton, Steven J. M. Jones and Robert A. Holt: Assembling millions of short DNA sequences using SSAKE. (PubMed,eprint) Bioinformatics 23(4):500-501 (2007)
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Topics: Sequence assembly
sspace
??? missing short description for package sspace :-(
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Please cite: Marten Boetzer, Christiaan V. Henkel, Hans J. Jansen, Derek Butler and Walter Pirovano: Scaffolding pre-assembled contigs using SSPACE. (PubMed,eprint) Bioinformatics 27(4):578-579 (2010)
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ssw-align
??? missing short description for package ssw-align :-(
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stacks
??? missing short description for package stacks :-(
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The package is enhanced by the following packages: multiqc
Please cite: Julian Catchen, Paul A. Hohenlohe, Susan Bassham, Angel Amores and William A. Cresko: Stacks: an analysis tool set for population genomics. (PubMed) Molecular Ecology 22(11):3124-40 (2013)
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staden
??? missing short description for package staden :-(
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Please cite: James K. Bonfield and Andrew Whitwham: Gap5--editing the billion fragment sequence assembly. (PubMed,eprint) Bioinformatics 26(14):1699-1703 (2010)
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staden-io-lib-utils
??? missing short description for package staden-io-lib-utils :-(
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stringtie
??? missing short description for package stringtie :-(
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Please cite: Mihaela Pertea, Geo M. Pertea, Corina .M. Antonescu, Tsung-Cheng Chang, Joshua T. Mendell and Steven L. Salzberg: StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nature Biotechnology 33:290–295 (2015)
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subread
??? missing short description for package subread :-(
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Please cite: Yang Lian, Gordon K. Smyth and Wei Shi: The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads. (PubMed) Nucleic Acids Research 47(8):e47-e47 (2019)
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suitename
??? missing short description for package suitename :-(
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Please cite: Jane S. Richardson, Bohdan Schneider, Laura W. Murray, Gary J. Kapral, Robert M. Immormino, Jeffrey J. Headd, David C. Richardson, Daniela Ham, Eli Hershkovits, Loren Dean Williams, Kevin S. Keating, Anna Marie Pyle, David Micallef, John Westbrook and Helen M. Berman: RNA backbone: Consensus all-angle conformers and modular string nomenclature (an RNA Ontology Consortium contribution). (PubMed,eprint) RNA 14(3):465-481 (2008)
sumaclust
??? missing short description for package sumaclust :-(
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sumatra
??? missing short description for package sumatra :-(
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sumtrees
??? missing short description for package sumtrees :-(
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Please cite: Jeet Sukumaran and Mark T. Holder: DendroPy: a Python library for phylogenetic computing. (PubMed,eprint) Bioinformatics 26(12):1569-1571 (2010)
surankco
??? missing short description for package surankco :-(
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Please cite: Mathias Kuhring, Piotr Wojtek Dabrowski, Vitor C. Piro, Andreas Nitsche and Bernhard Y. Renard: SuRankCo: supervised ranking of contigs in de novo assemblies. (PubMed,eprint) BMC Bioinformatics 16(1):240 (2015)
surpyvor
??? missing short description for package surpyvor :-(
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survivor
??? missing short description for package survivor :-(
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svim
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Please cite: David Heller and Martin Vingron: Link to publication (PubMed,eprint) Bioinformatics 35(17):2907-2915 (2019)
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swarm
??? missing short description for package swarm :-(
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Please cite: Frédéric Mahé, Torbjørn Rognes, Christopher Quince, Colomban de Vargas and Micah Dunthorn: Swarm v2: highly-scalable and high-resolution amplicon clustering. (PubMed,eprint) PeerJ 3(e1420) (2015)
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sweed
??? missing short description for package sweed :-(
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Please cite: Pavlos Pavlidis, Daniel Živković, Alexandros Stamatakis and Nikolaos Alachiotis: SweeD: Likelihood-Based Detection of Selective Sweeps in Thousands of Genomes. (eprint) Molecular Biology and Evolution 30(9):2224–2234 (2013)
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t-coffee
??? missing short description for package t-coffee :-(
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The package is enhanced by the following packages: clustalw dialign-tx kalign mafft muscle muscle3 ncbi-blast+ poa prank probcons tm-align
Please cite: Cédric Notredame, Desmond G. Higgins and Jaap Heringa: T-coffee: a novel method for fast and accurate multiple sequence alignment. (PubMed) Journal of Molecular Biology 302(1):205-217 (2000)
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tabix
??? missing short description for package tabix :-(
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Please cite: Heng Li: Tabix: fast retrieval of sequence features from generic TAB-delimited files. (PubMed,eprint) Bioinformatics 27(5):718-719 (2011)
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tantan
??? missing short description for package tantan :-(
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Please cite: Frith, Martin C.: A new repeat-masking method enables specific detection of homologous sequences. (PubMed) Nucleic Acids Research 39(4):e23 (2011)
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Topics: Sequence composition, complexity and repeats
terraphast
??? missing short description for package terraphast :-(
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Please cite: Michael J. Sanderson, Michelle M. McMahon and Mike Steel: Terraces in phylogenetic tree space. (PubMed) Science 333(6041):448-450 (2011)
theseus
??? missing short description for package theseus :-(
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The package is enhanced by the following packages: theseus-examples
Please cite: Douglas L. Theobald and Deborah S. Wuttke: THESEUS: maximum likelihood superpositioning and analysis of macromolecular structures. (eprint) Bioinformatics 22(17):2171-2172 (2006)
thesias
??? missing short description for package thesias :-(
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Please cite: David-Alexandre Trégouët and Valérie Garelle: "A new JAVA interface implementation of THESIAS: testing haplotype effects in association studies". (eprint) Bioinformatics 23(8):1038-1039 (2007)
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tiddit
??? missing short description for package tiddit :-(
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tigr-glimmer
??? missing short description for package tigr-glimmer :-(
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Please cite: Steven L. Salzberg, Arthur L. Delcher, S. Kasif and O. White: Microbial gene identification using interpolated Markov models. (PubMed,eprint) Nucleic Acids Research 26(2):544-8 (1998)
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tipp
??? missing short description for package tipp :-(
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tm-align
??? missing short description for package tm-align :-(
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Please cite: Yang Zhang and Jeffrey Skolnick: TM-align: A protein structure alignment algorithm based on TM-score. (PubMed,eprint) Nucleic Acids Research 33(7):2302-2309 (2005)
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tnseq-transit
??? missing short description for package tnseq-transit :-(
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Please cite: Michael A. DeJesus, Chaitra Ambadipudi, Richard Baker, Christopher Sassetti and Thomas R. Ioerger: TRANSIT - A Software Tool for Himar1 TnSeq Analysis. (PubMed,eprint) PLOS 11(10):e1004401 (2015)
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toil
??? missing short description for package toil :-(
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Please cite: John Vivian, Arjun Arkal Rao, Frank Austin Nothaft, Christopher Ketchum, Joel Armstrong, Adam Novak, Jacob Pfeil, Jake Narkizian Alden D. Deran, Audrey Musselman-Brown, Hannes Schmidt, Peter Amstutz, Brian Craft, Mary Goldman, Kate Rosenbloom, Melissa Cline, Brian O'Connor, Megan Hanna, Chet Birger, W. James Kent David A. Patterson, Anthony D. Joseph, Jingchun Zhu, Sasha Zaranek, Gad Getz, David Haussler and Benedict Paten: Toil enables reproducible, open source, big biomedical data analyses. Nature Biotechnology 35(4):314–316 (2017)
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tombo
??? missing short description for package tombo :-(
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Please cite: Marcus Stoiber, Joshua Quick, Rob Egan, Ji Eun Lee, Susan Celniker, Robert K. Neely, Nicholas Loman, Len A Pennacchio and James Brown: De novo Identification of DNA Modifications Enabled by Genome-Guided Nanopore Signal Processing. (eprint) bioRxiv (2016)
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tophat-recondition
??? missing short description for package tophat-recondition :-(
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Please cite: Christian Brueffer and Lao H. Saal: A post-processor for TopHat unmapped reads. Bioinformatics 17(1):199 (2016)
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topp
??? missing short description for package topp :-(
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Please cite: Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert and Oliver Kohlbacher: OpenMS – an Open-Source Software Framework for Mass Spectrometry. (PubMed,eprint) BMC Bioinformatics 9(163) (2008)
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toppred
??? missing short description for package toppred :-(
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Please cite: Gunnar von Heijne: Membrane protein structure prediction. Hydrophobicity analysis and the positive-inside rule. (PubMed) Journal of Molecular Biology 225(2):487-94 (1992)
tortoize
??? missing short description for package tortoize :-(
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Please cite: Oleg V. Sobolev, Pavel V. Afonine, Nigel W. Moriarty and Robbie P. Joosten: A Global Ramachandran Score Identifies Protein Structures with Unlikely Stereochemistry, Structure. (2020)
trace2dbest
??? missing short description for package trace2dbest :-(
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Please cite: John Parkinson, Alasdair Anthony, James Wasmuth, Ralf Schmid, Ann Hedley and Mark Blaxter: PartiGene—constructing partial genomes. (eprint) Bioinformatics 20(9):1398–1404 (2004)
tracetuner
??? missing short description for package tracetuner :-(
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Please cite: G.A.Denisov, A.B.Arehart and M.D.Curtin: A system and method for improving the accuracy of DNA sequencing and error probability estimation through application of a mathematical model to the analysis of electropherograms. US Patent 6681186. (2004)
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transdecoder
??? missing short description for package transdecoder :-(
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transrate-tools
??? missing short description for package transrate-tools :-(
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Please cite: Richard Smith-Unna, Chris Boursnell, Rob Patro, Julian M. Hibberd and Steven Kelly: TransRate: reference-free quality assessment of de novo transcriptome assemblies.. (PubMed,eprint) Genome Research 26(8):1134-1144 (2016)
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transtermhp
??? missing short description for package transtermhp :-(
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Please cite: Carleton L Kingsford, Kunmi Ayanbule and Steven L Salzberg: Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptake. (PubMed,eprint) Genome Biology 8(2):R22 (2007)
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tree-ppuzzle
??? missing short description for package tree-ppuzzle :-(
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Please cite: Heiko A. Schmidt, Korbinian Strimmer, Martin Vingron and Arndt von Haeseler: TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. (PubMed,eprint) Bioinformatics 18(3):502-504 (2002)
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tree-puzzle
??? missing short description for package tree-puzzle :-(
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Please cite: Heiko A. Schmidt, Korbinian Strimmer, Martin Vingron and Arndt von Haeseler: TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. (PubMed,eprint) Bioinformatics 18(3):502-504 (2002)
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treeview
??? missing short description for package treeview :-(
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Please cite: Alok J. Saldanha: Java Treeview -- extensible visualization of microarray data. (PubMed,eprint) Bioinformatics 20(17):3246-3248 (2004)
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treeviewx
??? missing short description for package treeviewx :-(
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Please cite: Page, Roderic D. M.: TreeView: an application to display phylogenetic trees on personal computers. (PubMed) Comput. Appl. Biosci. 12(4):357-8 (1996)
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trf
??? missing short description for package trf :-(
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The package is enhanced by the following packages: trf-examples
Please cite: Gary Benson: Tandem repeats finder: a program to analyze DNA sequences. (PubMed,eprint) Nucleic Acids Research 27(2):573–580 (1999)
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trim-galore
??? missing short description for package trim-galore :-(
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trimmomatic
??? missing short description for package trimmomatic :-(
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The package is enhanced by the following packages: multiqc
Please cite: A.M. Bolger, M. Lohse and B. Usadel: Trimmomatic: a flexible trimmer for Illumina sequence data. (PubMed,eprint) Bioinformatics 30(15):2114-2120 (2014)
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trinityrnaseq
??? missing short description for package trinityrnaseq :-(
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Please cite: Manfred G Grabherr, Brian J Haas, Moran Yassour, Joshua Z Levin, Dawn A Thompson, Ido Amit, Xian Adiconis, Lin Fan, Raktima Raychowdhury, Qiandong Zeng, Zehua Chen, Evan Mauceli, Nir Hacohen, Andreas Gnirke, Nicholas Rhind, Federica di Palma, Bruce W Birren, Chad Nusbaum, Kerstin Lindblad-Toh, Nir Friedman and Aviv Regev: Full-length transcriptome assembly from RNA-Seq data without a reference genome.. (PubMed) Nature Biotechnology 29(7):644-652 (2011)
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tvc
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twopaco
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Please cite: Ilia Minkin, Son Pham and Paul Medvedev: TwoPaCo: an efficient algorithm to build the compacted de Bruijn graph from many complete genomes. (PubMed,eprint) Bioinformatics 33(24):4024-4032 (2017)
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uc-echo
??? missing short description for package uc-echo :-(
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Please cite: W.-C. Kao, A.H. Chan and Y.S. Song: ECHO: A reference-free short-read error correction algorithm. (PubMed,eprint) Genome Research 21:1181-1192 (2011)
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ugene
??? missing short description for package ugene :-(
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Please cite: Konstantin Okonechnikov, Olga Golosova, Mikhail Fursov and the UGENE team: Unipro UGENE: a unified bioinformatics toolkit. (PubMed,eprint) Bioinformatics 28(8):1166-1167 (2012)
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umap-learn
??? missing short description for package umap-learn :-(
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Please cite: Leland McInnes, John Healy and James Melville: UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. (eprint) arXiv (2018)
umis
??? missing short description for package umis :-(
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Please cite: Valentine Svensson, Kedar Nath Natarajan, Lam-Ha Ly, Ricardo J Miragaia, Charlotte Labalette, Iain C Macaulay, Ana Cvejic and Sarah A Teichmann: Power analysis of single-cell RNA-sequencing experiments. (PubMed) Nature methods 14:381–387 (2017)
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uncalled
??? missing short description for package uncalled :-(
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Please cite: Sam Kovaka, Yunfan Fan, Bohan Ni, Winston Timp and Michael C. Schatz: Targeted nanopore sequencing by real-time mapping of raw electrical signal with UNCALLED. (eprint) Nature Biotechnology (2020)
unicycler
??? missing short description for package unicycler :-(
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Please cite: Ryan R. Wick, Louise M. Judd, Claire L. Gorrie and Kathryn E. Holt: Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. (PubMed,eprint) PLOS Computational Biology 13(6):e1005595 (2017)
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unikmer
??? missing short description for package unikmer :-(
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varna
??? missing short description for package varna :-(
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Please cite: Kévin Darty, Alain Denise and Yann Ponty: VARNA: Interactive drawing and editing of the RNA secondary structure. (eprint) Bioinformatics 25(15):1974-1975 (2009)
vcfanno
??? missing short description for package vcfanno :-(
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Please cite: Brent S. Pedersen, Ryan M. Layer and Aaron R. Quinlan: Vcfanno: fast, flexible annotation of genetic variants. (PubMed,eprint) Genome Biology 17(1):118 (2016)
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vcftools
??? missing short description for package vcftools :-(
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The package is enhanced by the following packages: multiqc
Please cite: Petr Danecek, Adam Auton, Goncalo Abecasis, Cornelis A. Albers, Eric Banks, Mark A. DePristo, Robert E. Handsaker, Gerton Lunter, Gabor T. Marth, Stephen T. Sherry, Gilean McVean and Richard Durbin: The variant call format and VCFtools. (PubMed,eprint) Bioinformatics 27(15):2156-8 (2011)
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velvet
??? missing short description for package velvet :-(
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Please cite: Daniel R. Zerbino and Ewan Birney: Velvet: Algorithms for de novo short read assembly using de Bruijn graphs. (PubMed,eprint) Genome Research 18(5):821-829 (2008)
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velvet-long
??? missing short description for package velvet-long :-(
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Please cite: Daniel R. Zerbino and Ewan Birney: Velvet: Algorithms for de novo short read assembly using de Bruijn graphs. (PubMed,eprint) Genome Research 18(5):821-829 (2008)
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velvetoptimiser
??? missing short description for package velvetoptimiser :-(
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veryfasttree
??? missing short description for package veryfasttree :-(
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vg
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Please cite: Erik Garrison, Jouni Sirén, Adam M Novak, Glenn Hickey, Jordan M Eizenga, Eric T Dawson, William Jones, Shilpa Garg, Charles Markello, Michael F Lin, Benedict Paten and Richard Durbin: Variation graph toolkit improves read mapping by representing genetic variation in the reference. (PubMed) Nature Biotechnology 36(9):875–879 (2018)
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virulencefinder
??? missing short description for package virulencefinder :-(
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Please cite: Katrine Grimstrup Joensen, Flemming Scheutz, Ole Lund, Henrik Hasman, Rolf S. Kaas, Eva M. Nielsen and Frank M. Aarestrup: Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli. (PubMed,eprint) Journal of Clinical Microbiology 52(5):1501-10 (2014)
vmatch
??? missing short description for package vmatch :-(
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vsearch
??? missing short description for package vsearch :-(
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The package is enhanced by the following packages: vsearch-examples
Please cite: Torbjørn Rognes, Tomáš Flouri, Ben Nichols, Christopher Quince and Frédéric Mahé: VSEARCH: a versatile open source tool for metagenomics. (eprint) PeerJ 4:e2584
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vt
??? missing short description for package vt :-(
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The package is enhanced by the following packages: vt-examples
Please cite: Adrian Tan, Gonçalo R. Abecasis and Hyun Min Kang: Unified representation of genetic variants. (PubMed,eprint) Bioinformatics 31(13):2202–2204 (2015)
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wham-align
??? missing short description for package wham-align :-(
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Please cite: Yinan Li, Allie Terrell and Jignesh M. Patel: WHAM: A High-throughput Sequence Alignment Method (eprint) Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece (2011)
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wigeon
??? missing short description for package wigeon :-(
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The package is enhanced by the following packages: microbiomeutil-data
Please cite: Brian J. Haas, Dirk Gevers, Ashlee M. Earl, Mike Feldgarden, Doyle V. Ward, Georgia Giannoukos, Dawn Ciulla, Diana Tabbaa, Sarah K. Highlander, Erica Sodergren, Barbara Methé, Todd Z. DeSantis, The Human Microbiome Consortium, Joseph F. Petrosino, Rob Knight and Bruce W. Birren: Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. (PubMed,eprint) Genome Research 21(3):494-504 (2011)
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wise
??? missing short description for package wise :-(
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Please cite: Ewan Birney, Michele Clamp and Richard Durbin: GeneWise and Genomewise. (PubMed,eprint) Genome Research 14(5):988-95 (2004)
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xpore
??? missing short description for package xpore :-(
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yaha
??? missing short description for package yaha :-(
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Please cite: Gregory G. Faust and Ira M. Hall: YAHA: fast and flexible long-read alignment with optimal breakpoint detection. (PubMed,eprint) Bioinformatics 28(19):2417–2424 (2012)
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yanagiba
??? missing short description for package yanagiba :-(
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yanosim
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Official Debian packages with lower relevance

adun.app
??? missing short description for package adun.app :-(
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Debtags of package adun.app:
fieldbiology, biology:structural
interfacex11
roleprogram
scopeapplication
suitegnustep
uitoolkitgnustep
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works-with3dmodel, db
x11application
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Please cite: Michael A. Johnston, Ignacio Fdez. Galván and Jordi Villà-Freixa: Framework-based design of a new all-purpose molecular simulation application: The Adun simulator. (PubMed) J. Comp. Chem. 26(15):1647-1659 (2005)
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catfishq
??? missing short description for package catfishq :-(
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conda-package-handling
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Remark of Debian Med team: Dead upstream

The homepage of this project vanished as well as the Download area. An old unmaintained version remained at code.google.com. Please drop the maintainer a note if you have any news of this project.

dascrubber
??? missing short description for package dascrubber :-(
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dnapi
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Please cite: Junko Tsuji and Zhiping Weng: DNApi: A De Novo Adapter Prediction Algorithm for Small RNA Sequencing Data. (PubMed,eprint) PLoS One 11(10):e0164228 (2016)
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emboss-explorer
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getdata
??? missing short description for package getdata :-(
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hts-nim-tools
??? missing short description for package hts-nim-tools :-(
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idseq-bench
??? missing short description for package idseq-bench :-(
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illustrate
??? missing short description for package illustrate :-(
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Please cite: D.S. Goodsell and A.J. Olson: Molecular Illustration in Black and White. (PubMed) J. Mol. Graphics 10(4):235-240 (1992)
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libhdf5-dev
??? missing short description for package libhdf5-dev :-(
Maintainer: Gilles Filippini
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libhnswlib-dev
??? missing short description for package libhnswlib-dev :-(
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Please cite: Yu. A. Malkov and D. A. Yashunin: Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs. (eprint) arXiv.org arXiv(1603.0932) (2016)
maude
??? missing short description for package maude :-(
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Please cite: M. Matsumoto and T. Nishimura: Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator. ACM Transactions on Modeling and Computer Simulation 8(1):3-30 (1998)
metastudent-data
??? missing short description for package metastudent-data :-(
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Please cite: Tobias Hamp, Rebecca Kassner, Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, Dominik Achten, Florian Auer, Ariane Boehm, Tatjana Braun, Maximilian Hecht, Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompass, Cedric Landerer, Yannick Mahlich, Manfred Roos and Burkhard Rost: Homology-based inference sets the bar high for protein function prediction. (PubMed) BMC Bioinformatics 14(Suppl 3):S7 (2013)
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metastudent-data-2
??? missing short description for package metastudent-data-2 :-(
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Please cite: Tobias Hamp, Rebecca Kassner, Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, Dominik Achten, Florian Auer, Ariane Boehm, Tatjana Braun, Maximilian Hecht, Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompass, Cedric Landerer, Yannick Mahlich, Manfred Roos and Burkhard Rost: Homology-based inference sets the bar high for protein function prediction. (PubMed) BMC Bioinformatics 14(Suppl 3):S7 (2013)
python3-anndata
??? missing short description for package python3-anndata :-(
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Please cite: F. Alexander Wolf, Philipp Angerer and Fabian J. Theis: SCANPY: large-scale single-cell gene expression data analysis.. (PubMed) Genome Biol. 19:15 (2018)
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python3-cgecore
??? missing short description for package python3-cgecore :-(
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python3-cyvcf2
??? missing short description for package python3-cyvcf2 :-(
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Please cite: Brent S. Pedersen and Aaron R. Quinlan: cyvcf2: fast, flexible variant analysis with Python. (eprint) Bioinformatics 33(12):1867–1869 (2017)
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python3-deeptools
??? missing short description for package python3-deeptools :-(
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Please cite: Fidel Ramirez, Devon P. Ryan, Björn Grüning, Sarah Diehl, Vivek Bhardwaj, Fabian Kilpert, Andreas S Richter, Steffen Heyne, Friederike Dündar and Thomas Manke: deepTools2: a next generation web server for deep-sequencing data analysis. (eprint) Nucleic Acids Research :W160–W165 (2016)
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python3-deeptoolsintervals
??? missing short description for package python3-deeptoolsintervals :-(
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python3-htseq
??? missing short description for package python3-htseq :-(
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Please cite: Simon Anders, Paul Theodor Pyl and Wolfgang Huber: HTSeq—a Python framework to work with high-throughput sequencing data. (PubMed,eprint) Bioinformatics 31(2):166-169 (2015)
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python3-intake
??? missing short description for package python3-intake :-(
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python3-loompy
??? missing short description for package python3-loompy :-(
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python3-nanoget
??? missing short description for package python3-nanoget :-(
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The package is enhanced by the following packages: python3-nanoget-examples
python3-nanomath
??? missing short description for package python3-nanomath :-(
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python3-ncls
??? missing short description for package python3-ncls :-(
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Please cite: Endre Bakken Stovner and Pål Sætrom: PyRanges: efficient comparison of genomic intervals in Python. Bioinformatics 36(3):918–919 (2020)
python3-py2bit
??? missing short description for package python3-py2bit :-(
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python3-pybel
??? missing short description for package python3-pybel :-(
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Please cite: Charles Tapley Hoyt, Andrej Konotopez and Christian Ebeling: PyBEL: a computational framework for Biological Expression Language. (eprint) Bioinformatics 34(4):703–704 (2018)
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python3-pychopper
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python3-pyfaidx
??? missing short description for package python3-pyfaidx :-(
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Please cite: Matthew D. Shirley, Zhaorong Ma, Brent S. Pedersen and Sarah J. Wheelan: Efficient "pythonic" access to FASTA files using pyfaidx. PeerJ PrePrints 3:e1196 (2015)
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python3-pyflow
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python3-pyranges
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Please cite: Endre Bakken Stovner and Pål Sætrom: PyRanges: efficient comparison of genomic intervals in Python. Bioinformatics 36(3):918–919 (2020)
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python3-pyrle
??? missing short description for package python3-pyrle :-(
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sid0.0.43-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
Popcon: 2 users (35 upd.)*
Versions and Archs
License: DFSG free
Git
python3-pysam
??? missing short description for package python3-pysam :-(
Versions of package python3-pysam
ReleaseVersionArchitectures
sid0.23.3+ds-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
bullseye0.15.4+ds-3amd64,arm64,armhf,i386
bookworm0.20.0+ds-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el
trixie0.23.0+ds-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64
forky0.23.3+ds-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64
upstream0.24.0
Popcon: 47 users (68 upd.)*
Newer upstream!
License: DFSG free
Git
The package is enhanced by the following packages: python-pysam-tests
Registry entries: Bio.tools  Bioconda 
python3-tinyalign
??? missing short description for package python3-tinyalign :-(
Versions of package python3-tinyalign
ReleaseVersionArchitectures
forky0.2.2-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie0.2.2-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm0.2.1-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye0.2-5amd64,arm64,armhf,i386
sid0.2.2-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
Popcon: 2 users (35 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bioconda 
q2-alignment
??? missing short description for package q2-alignment :-(
Versions of package q2-alignment
ReleaseVersionArchitectures
bullseye2020.11.1-2all
bookworm2022.11.1-2all
sid2024.5.0-1all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-cutadapt
??? missing short description for package q2-cutadapt :-(
Versions of package q2-cutadapt
ReleaseVersionArchitectures
sid2024.5.0-1amd64,arm64,loong64,ppc64el,riscv64
bullseye2020.11.1-1amd64,arm64
bookworm2022.11.1-2amd64,arm64,mips64el,ppc64el
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-dada2
??? missing short description for package q2-dada2 :-(
Versions of package q2-dada2
ReleaseVersionArchitectures
bookworm2022.11.2-2amd64
bullseye2020.11.1-3amd64
sid2024.5.0-1amd64
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-demux
??? missing short description for package q2-demux :-(
Versions of package q2-demux
ReleaseVersionArchitectures
bullseye2020.11.1-1all
bookworm2022.11.1+dfsg-2all
sid2024.5.0+dfsg-1all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-emperor
??? missing short description for package q2-emperor :-(
Versions of package q2-emperor
ReleaseVersionArchitectures
sid2024.5.0-2all
bookworm2022.11.1-2all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-feature-classifier
??? missing short description for package q2-feature-classifier :-(
Versions of package q2-feature-classifier
ReleaseVersionArchitectures
sid2024.5.0-1all
bullseye2020.11.1-2all
bookworm2022.11.1-2all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
Registry entries: Bio.tools 
q2-feature-table
??? missing short description for package q2-feature-table :-(
Versions of package q2-feature-table
ReleaseVersionArchitectures
bullseye2020.11.1+dfsg-1all
sid2024.5.0+dfsg-1all
bookworm2022.11.1+dfsg-2all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-fragment-insertion
??? missing short description for package q2-fragment-insertion :-(
Versions of package q2-fragment-insertion
ReleaseVersionArchitectures
sid2024.5.0-1amd64,arm64,loong64,ppc64el,riscv64
bookworm2022.11.1-3amd64,arm64,mips64el,ppc64el
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-metadata
??? missing short description for package q2-metadata :-(
Versions of package q2-metadata
ReleaseVersionArchitectures
sid2024.5.0+dfsg-1amd64,arm64,loong64,ppc64el,riscv64
bullseye2020.11.1+dfsg-1amd64,arm64
bookworm2022.8.0-1amd64,arm64,mips64el,ppc64el
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-phylogeny
??? missing short description for package q2-phylogeny :-(
Versions of package q2-phylogeny
ReleaseVersionArchitectures
sid2024.5.0-1amd64
bookworm2022.11.1-3amd64
experimental2022.11.1-1all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
q2-quality-control
??? missing short description for package q2-quality-control :-(
Versions of package q2-quality-control
ReleaseVersionArchitectures
sid2024.5.0-2all
bullseye2020.11.1-3all
bookworm2022.11.1-2all
upstream2026.4.0
Popcon: 0 users (0 upd.)*
Newer upstream!
License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-quality-filter
??? missing short description for package q2-quality-filter :-(
Versions of package q2-quality-filter
ReleaseVersionArchitectures
bookworm2022.11.1-2all
bullseye2020.11.1-2all
sid2024.5.0-1all
upstream2026.4.0
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Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-sample-classifier
??? missing short description for package q2-sample-classifier :-(
Versions of package q2-sample-classifier
ReleaseVersionArchitectures
bookworm2022.11.1-3all
sid2024.5.0-2all
bullseye2020.11.1-3all
upstream2026.4.0
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Registry entries: Bio.tools 
q2-taxa
??? missing short description for package q2-taxa :-(
Versions of package q2-taxa
ReleaseVersionArchitectures
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bullseye2020.11.1+dfsg-2all
bookworm2022.11.1+dfsg-2all
upstream2026.4.0
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Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-types
??? missing short description for package q2-types :-(
Versions of package q2-types
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Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2cli
??? missing short description for package q2cli :-(
Versions of package q2cli
ReleaseVersionArchitectures
sid2024.5.0-2all
bookworm2022.11.1-2all
bullseye2020.11.1-1all
upstream2026.4.0
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Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2templates
??? missing short description for package q2templates :-(
Versions of package q2templates
ReleaseVersionArchitectures
sid2024.5.0+ds-4all
forky2024.5.0+ds-4all
trixie2024.5.0+ds-3all
bookworm2022.11.1+ds-2all
bullseye2020.11.1+dfsg-1all
upstream2026.4.0
Popcon: 2 users (1 upd.)*
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License: DFSG free
Git
Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
r-bioc-annotationhub
??? missing short description for package r-bioc-annotationhub :-(
Versions of package r-bioc-annotationhub
ReleaseVersionArchitectures
trixie3.14.0+dfsg-2all
bookworm3.6.0+dfsg-1all
bullseye2.22.0+dfsg-1all
sid3.14.0+dfsg-3all
upstream4.2.0
Popcon: 31 users (3 upd.)*
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Registry entries: Bio.tools 
r-bioc-aroma.light
??? missing short description for package r-bioc-aroma.light :-(
Versions of package r-bioc-aroma.light
ReleaseVersionArchitectures
sid3.36.0-3all
bullseye3.20.0-1all
bookworm3.28.0-1all
trixie3.36.0-2all
upstream3.42.0
Popcon: 8 users (34 upd.)*
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Git
Please cite: Henrik Bengtsson, Pierre Neuvial and Terence P. Speed: TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. (PubMed,eprint) BMC Bioinformatics 11:245 (2010)
Registry entries: Bio.tools  SciCrunch  Bioconda 
r-bioc-beachmat
??? missing short description for package r-bioc-beachmat :-(
Versions of package r-bioc-beachmat
ReleaseVersionArchitectures
bullseye2.6.4+ds-1amd64,arm64,armhf,i386
trixie2.22.0+ds-3~deb13u1amd64,arm64,ppc64el,riscv64,s390x
bookworm2.14.0+ds-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid2.22.0+ds-4amd64,arm64,loong64,ppc64el,riscv64
upstream2.28.0
Popcon: 8 users (37 upd.)*
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r-bioc-biocneighbors
??? missing short description for package r-bioc-biocneighbors :-(
Versions of package r-bioc-biocneighbors
ReleaseVersionArchitectures
trixie2.0.1+ds-2amd64,arm64,ppc64el,riscv64,s390x
bookworm1.16.0+ds-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid2.0.1+ds-3amd64,arm64,loong64,ppc64el,riscv64
bullseye1.8.2+ds-1amd64,arm64,armhf,i386
upstream2.6.0
Popcon: 7 users (35 upd.)*
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r-bioc-biocsingular
??? missing short description for package r-bioc-biocsingular :-(
Versions of package r-bioc-biocsingular
ReleaseVersionArchitectures
bullseye1.6.0+ds-1amd64,arm64,armhf,i386
trixie1.22.0+ds-2amd64,arm64,ppc64el,riscv64,s390x
bookworm1.14.0+ds-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid1.22.0+ds-3amd64,arm64,loong64,ppc64el,riscv64
upstream1.28.0
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r-bioc-ctc
??? missing short description for package r-bioc-ctc :-(
Versions of package r-bioc-ctc
ReleaseVersionArchitectures
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sid1.80.0-3all
bookworm1.72.0-1all
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upstream1.86.0
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Registry entries: Bioconda 
r-bioc-dnacopy
??? missing short description for package r-bioc-dnacopy :-(
Versions of package r-bioc-dnacopy
ReleaseVersionArchitectures
trixie1.80.0-2amd64,arm64,ppc64el,riscv64,s390x
sid1.80.0-3amd64,arm64,loong64,ppc64el,riscv64
bookworm1.72.3-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye1.64.0-1amd64,arm64,armhf,i386
upstream1.86.0
Popcon: 7 users (36 upd.)*
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r-bioc-ensembldb
??? missing short description for package r-bioc-ensembldb :-(
Versions of package r-bioc-ensembldb
ReleaseVersionArchitectures
trixie2.30.0+dfsg-3all
sid2.30.0+dfsg-4all
bullseye2.14.0+dfsg-1all
bookworm2.22.0+dfsg-1all
upstream2.36.0
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r-bioc-experimenthub
??? missing short description for package r-bioc-experimenthub :-(
Versions of package r-bioc-experimenthub
ReleaseVersionArchitectures
bullseye1.16.0+ds-1all
sid2.14.0+ds-3all
bookworm2.6.0+ds-1all
trixie2.14.0+ds-2all
upstream3.2.0
Popcon: 29 users (2 upd.)*
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r-bioc-geneplotter
??? missing short description for package r-bioc-geneplotter :-(
Versions of package r-bioc-geneplotter
ReleaseVersionArchitectures
sid1.84.0+dfsg-3all
trixie1.84.0+dfsg-2all
bookworm1.76.0-1all
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upstream1.90.0
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r-bioc-genomicalignments
??? missing short description for package r-bioc-genomicalignments :-(
Versions of package r-bioc-genomicalignments
ReleaseVersionArchitectures
bullseye1.26.0-1amd64,arm64,armhf,i386
trixie1.42.0-2amd64,arm64,ppc64el,riscv64,s390x
sid1.42.0-3amd64,arm64,loong64,ppc64el,riscv64
bookworm1.34.0-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
upstream1.48.0
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Please cite: Michael Lawrence, Wolfgang Huber, Hervé Pagès, Patrick Aboyoun, Marc Carlson, Robert Gentleman, Martin T. Morgan and Vincent J. Carey: Software for Computing and Annotating Genomic Ranges. (PubMed,eprint) PLoS Computational Biology 9(8):e1003118 (2013)
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r-bioc-genomicfiles
??? missing short description for package r-bioc-genomicfiles :-(
Versions of package r-bioc-genomicfiles
ReleaseVersionArchitectures
sid1.42.0+dfsg-3all
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bookworm1.34.0-1all
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upstream1.48.0
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r-bioc-genomicranges
??? missing short description for package r-bioc-genomicranges :-(
Versions of package r-bioc-genomicranges
ReleaseVersionArchitectures
sid1.58.0+dfsg-3amd64,arm64,loong64,ppc64el,riscv64
trixie1.58.0+dfsg-2amd64,arm64,ppc64el,riscv64,s390x
bookworm1.50.2+dfsg-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye1.42.0+dfsg-1amd64,arm64,armhf,i386
upstream1.64.0
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r-bioc-go.db
??? missing short description for package r-bioc-go.db :-(
Versions of package r-bioc-go.db
ReleaseVersionArchitectures
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bookworm3.16.0-1all
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upstream3.23.1
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r-bioc-grohmm
??? missing short description for package r-bioc-grohmm :-(
Versions of package r-bioc-grohmm
ReleaseVersionArchitectures
bookworm1.32.0-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye1.24.0-1amd64,arm64,armhf,i386
sid1.40.3-4amd64,arm64,loong64,ppc64el,riscv64
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upstream1.46.0
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Please cite: Minho Chae, Charles G. Danko and and W. Lee Kraus: groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data. (PubMed) BMC Bioinformatics 16:222.0 (2015)
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r-bioc-gviz
??? missing short description for package r-bioc-gviz :-(
Versions of package r-bioc-gviz
ReleaseVersionArchitectures
bookworm1.42.1+dfsg-1all
trixie1.50.0+dfsg-2all
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upstream1.56.0
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Please cite: Michael Lawrence, Robert Gentleman and "Vincent Carey: rtracklayer: an R package for interfacing with genome browsers. (PubMed,eprint) Bioinformatics 25(14):1841-1842 (2009)
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r-bioc-isoformswitchanalyzer
??? missing short description for package r-bioc-isoformswitchanalyzer :-(
Versions of package r-bioc-isoformswitchanalyzer
ReleaseVersionArchitectures
sid2.6.0+ds-3amd64,arm64,loong64,ppc64el,riscv64
bookworm1.20.0+ds-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
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upstream2.12.0
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r-bioc-org.hs.eg.db
??? missing short description for package r-bioc-org.hs.eg.db :-(
Versions of package r-bioc-org.hs.eg.db
ReleaseVersionArchitectures
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upstream3.23.1
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r-bioc-qusage
??? missing short description for package r-bioc-qusage :-(
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Please cite: Gur Yaari, Christopher R. Bolen, Juilee Thakar and Steven H. Kleinstein: Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations. (PubMed,eprint) Nucleic Acids Res. 41(18):e170 (2013)
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r-bioc-savr
??? missing short description for package r-bioc-savr :-(
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r-bioc-singlecellexperiment
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r-bioc-structuralvariantannotation
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r-bioc-tximport
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Please cite: Charlotte Soneson, Michael I. Love and Mark D. Robinson: Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences. F1000Research 4:1521 (2015)
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r-cran-amap
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r-cran-biwt
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r-cran-boolnet
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Please cite: Christoph Muessel, Martin Hopfensitz and Hans A. Kestler: BoolNet -- an R package for generation, reconstruction and analysis of Boolean networks. (eprint) Bioinformatics 26(6):1378-1380 (2010)
r-cran-corrplot
??? missing short description for package r-cran-corrplot :-(
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r-cran-dynamictreecut
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r-cran-epir
??? missing short description for package r-cran-epir :-(
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r-cran-fitdistrplus
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Please cite: Marie Laure Delignette-Muller Christophe Dutang: fitdistrplus: An R Package for Fitting Distributions. Journal of Statistical Software 64(4):1-34 (2015)
r-cran-forecast
??? missing short description for package r-cran-forecast :-(
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r-cran-gprofiler2
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r-cran-minerva
??? missing short description for package r-cran-minerva :-(
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r-cran-optimalcutpoints
??? missing short description for package r-cran-optimalcutpoints :-(
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Please cite: Mónica López-Ratón María Xosé Rodríguez-Álvarez, Carmen Cadarso Suárez and Francisco Gude Sampedro: OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests. Journal of Statistical Software 61(8):1-36 (2014)
r-cran-parmigene
??? missing short description for package r-cran-parmigene :-(
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r-cran-pheatmap
??? missing short description for package r-cran-pheatmap :-(
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r-cran-qqman
??? missing short description for package r-cran-qqman :-(
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r-cran-rcpphnsw
??? missing short description for package r-cran-rcpphnsw :-(
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r-cran-rentrez
??? missing short description for package r-cran-rentrez :-(
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r-cran-sctransform
??? missing short description for package r-cran-sctransform :-(
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resfinder-db
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Please cite: Ea Zankari, Henrik Hasman, Salvatore Cosentino, Martin Vestergaard, Simon Rasmussen, Ole Lund, Frank M. Aarestrup and Mette Voldby Larsen: Identification of acquired antimicrobial resistance genes. (PubMed,eprint) Journal of Antimicrobial Chemotherapy 67(11):2640-4 (2012)
science-workflow
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arb
??? missing short description for package arb :-(
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blimps-utils
??? missing short description for package blimps-utils :-(
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The package is enhanced by the following packages: blimps-examples
Please cite: J. G. Henikoff, S. Pietrokovski, C. M. McCallum and S. Henikoff: Blocks-based methods for detecting protein homology. (PubMed,eprint) Electrophoresis 21(9):1700-6 (2000)
caftools
??? missing short description for package caftools :-(
Maintainer: Steffen Moeller
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Please cite: Simon Dear, Richard Durbin, LaDeana Hillier, Gabor Marth, Jean Thierry-Mieg and and Richard Mott: Sequence assembly with CAFTOOLS. (PubMed,eprint) Genome research 8(3):260-267 (1998)
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cluster3
??? missing short description for package cluster3 :-(
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Please cite: M. J. L. de Hoon, S. Imoto, J. Nolan and S. Miyano: Open Source Clustering Software. (PubMed,eprint) Bioinformatics 20(9):1453-1454 (2004)
cufflinks
??? missing short description for package cufflinks :-(
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Please cite: Cole Trapnell, Brian A Williams, Geo Pertea, Ali Mortazavi, Gordon Kwan, Marijke J van Baren, Steven L Salzberg, Barbara J Wold and Lior Pachter: Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. (PubMed) Nature Biotechnology 28(5):511-515 (2010)
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relion-cuda
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relion-gui-cuda
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seq-gen
??? missing short description for package seq-gen :-(
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Please cite: A. Rambaut and N. C. Grassly: Seq-Gen: An application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees. (PubMed,eprint) Comput. Appl. Biosci. 13(3):235-238 (1997)
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seqcluster
??? missing short description for package seqcluster :-(
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Please cite: Lorena Pantano, Marc R. Friedländer, Georgia Escaramís, Esther Lizano, Joan Pallarès-Albanell, Isidre Ferrer, Xavier Estivill and Eulàlia Martí: Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson's disease revealed by deep sequencing analysis. (PubMed) Bioinformatics (2015)
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sift
??? missing short description for package sift :-(
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Please cite: Prateek Kumar, Steven Henikoff and Pauline C Ng: Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. (PubMed,eprint) Nature Protocols 4(7):1073-81 (2009)
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solvate
??? missing short description for package solvate :-(
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trnascan-se
??? missing short description for package trnascan-se :-(
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Please cite: Todd M Lowe and Sean R Eddy: tRNAscan-SE: A program for improved detection of transfer RNA genes in genomic sequence. (PubMed,eprint) Nucleic Acids Research 25(5):955-964 (1997)
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varscan
??? missing short description for package varscan :-(
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Please cite: Daniel C. Koboldt, Qunyuan Zhang, David E. Larson, Dong Shen, Michael D. McLellan, Ling Lin, Christopher A. Miller, Elaine R. Mardis, Li Ding and Richard K. Wilson: VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing". (PubMed,eprint) Genome Res. 22(3):568-576 (2012)
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vdjtools
??? missing short description for package vdjtools :-(
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Please cite: M Shugay, D.V. Bagaev, M.A. Turchaninova, D.A. Bolotin, O.V. Britanova, E.V. Putintseva, M.V. Pogorelyy, V.I. Nazarov VI, I.V. Zvyagin, V.I. Kirgizova, K.I. Kirgizov, E.V. Skorobogatova and D.M. Chudakov: VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires. (PubMed,eprint) PLoS Comput Biol. 11(11):e1004503 (2015)
vienna-rna
??? missing short description for package vienna-rna :-(
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upstream2.7.2
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Newer upstream!
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Please cite: Ronny Lorenz, Stephan H. Bernhart, Christian Höner zu Siederdissen, Hakim Tafer, Christoph Flamm, Peter F. Stadler and Ivo L. Hofacker: ViennaRNA Package 2.0. (eprint) Algorithms for Molecular Biology 6(1):26 (2011)
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Packaging has started and developers might try the packaging code in VCS

acacia
Error-corrector for pyrosequenced amplicon reads.
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Acacia is a java program developed to quickly and conservatively correct errors, whilst simultaneously de-replicating, amplicon sequences.

The main purpose of Acacia is to correct the over-call, under-call errors prevalent in Roche 454 GS-FLX data, and more recently, with the Titanium chemistry. Acacia will only ectively correct errors in amplicons - as it assumes that the 5' end of the sequences start at the same position, the MID, followed by the primer. Acacia uses empirically-derived models to identify homopolymer regions where there are more `errors' than expected by chance - these imply that the differences are due to population differences rather than error-induced polymorphisms.

Nat Methods. 2012 Apr 27;9(5):425-6. doi: 10.1038/nmeth.1990. Fast, accurate error-correction of amplicon pyrosequences using Acacia. Bragg L, Stone G, Imelfort M, Hugenholtz P, Tyson GW.

Please cite: Lauren Bragg, Glenn Stone, Michael Imelfort, Philip Hugenholtz and Gene W. Tyson: Fast, accurate error-correction of amplicon pyrosequences using Acacia. (PubMed) Nature Methods 9(5):425-426 (2012)
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agat
another GFF analysis toolkit
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Suite of tools to handle gene annotations in any GTF/GFF format.

It has the power to check, fix, pad missing information of any kind of gtf and gff to create complete, sorted and standardised gff3 format.

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amos-assembler
modular whole genome assembler
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The AMOS consortium is committed to the development of open-source whole genome assembly software. The project acronym (AMOS) represents our primary goal - to produce A Modular, Open-Source whole genome assembler. Open-source so that everyone is welcome to contribute and help build outstanding assembly tools, and modular in nature so that new contributions can be easily inserted into an existing assembly pipeline. This modular design will foster the development of new assembly algorithms and allow the AMOS project to continually grow and improve in hopes of eventually becoming a widely accepted and deployed assembly infrastructure. In this sense, AMOS is both a design philosophy and a software system.

Please cite: Michael C. Schatz, Adam M. Phillippy, Daniel D. Sommer, Arthur L. Delcher, Daniela Puiu, Giuseppe Narzisi, Steven L. Salzberg and Mihai Pop: Hawkeye and AMOS: visualizing and assessing the quality of genome assemblies. (PubMed,eprint) Briefings in Bioinformatics (2011)
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apollo
genome annotation viewer and editor
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Apollo is a genome annotation viewer and editor. It was developed as a collaboration between the Berkeley Drosophila Genome Project (part of the FlyBase consortium) and The Sanger Institute in Cambridge, UK. Apollo allows researchers to explore genomic annotations at many levels of detail, and to perform expert annotation curation, all in a graphical environment. It was used by the FlyBase biologists to construct the Release 3 annotations on the finished Drosophila melanogaster genome, and is also a primary vehicle for sharing these annotations with the community. The Generic Model Organism Database (GMOD) project, which aims to provide a complete ready-to-use toolkit for analyzing whole genomes, has adopted Apollo as its annotation workbench.

Please cite: Susanna E. Lewis, Steve M. J. Searle, Naomi Harris, M. Gibson, V Lyer, J. Richter, C. Wiel, L. Bayraktaroglir, Ewan Birney, M. A. Crosby, J. S. Kaminker, B. B. Matthews, S. E. Prochnik, C. D. Smithy, J. L. Tupy, G. M. Rubin, S. Misra, Chris J. Mungall and Michelle E. Clamp: Apollo: a sequence annotation editor. (PubMed,eprint) Genome Biology 3(12):research0082-0082.14 (2002)
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arvados
managing and analyzing biomedical big data
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Arvados is an open source platform for managing, processing, and sharing genomic and other large scientific and biomedical data. With Arvados, bioinformaticians run and scale compute-intensive workflows, developers create biomedical applications, and IT administrators manage large compute and storage resources.

axparafit
optimized statistical analysis of host-parasite coevolution
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AxParafit is a highly optimized version of Pierre Legendre's Parafit program for statistical analysis of host-parasite coevolution. AxParafit has been parallelized with MPI (Message Passing Interface) for compute clusters and was used to carry out the largest co-evolutionary analysis to date for the paper describing the software.

axpcoords
highly optimized and parallelized porting of pcoords
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AxPcoords is an highly optimized versions of Pierre Legendre's DistPCoA program for statistical analysis of host-parasite coevolution.

AxPcoords is a fast, LAPACK-based implementation of DistPCoA (see http://www.bio.umontreal.ca/Casgrain/en/labo/distpcoa.html) which is another program by Pierre Legendre, it conducts a principal coordinates analysis. This program is required for the pipeline that conducts a full host-parasite co-phylogenetic analysis in combination with AxParafit.

bagpipe
genomewide LD mapping
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Bagpipe is a program for performing genomewide linkage disequilibrium mapping of quantitative trait loci in populations whose genome structure can be accommodated in the HAPPY framework [Mott00]. This includes most diploid crosses where the founders of the individuals have known genotypes.

  • Bagpipe is a simplified and streamlined version of Bagphenotype that does not currently include resample model averaging (RMA) capabilities.
  • Bagpipe can help fit single locus regression models (with or without random effects) to marker intervals whose genetic ancestry is inferred using the HAPPY software.
  • Bagpipe cannot help you decide what is a sensible model to fit.
  • Bagpipe does not currently accommodate populations with significant population structure, except through the specification of simple random intercepts based on unpatterned covariance matrices.
  • Bagpipe is named after the Scottish wind instrument "the bagpipes" and after Bagphenotype, which in turn was a PIPEline for BAGging-based multiple QTL analysis of phenoTYPEs. Bagphenotype was in turn based on software written by Richard Mott and William Valdar to analyze heterogeneous stock mice in [Valdar06].
  • Bagpipe is experimental software, is provided free of charge subject to copyleft restrictions, and comes with no guarantees whatsoever.
Please cite: Richard Mott, Christopher J. Talbot, Maria G. Turri, Allan C. Collins and Jonathan Flint: A method for fine mapping quantitative trait loci in outbred animal stocks. (PubMed) Proc Natl Acad Sci U S A. 97(23):12649-54 (200)
bax2bam
Convert legacy PacBio Bax.H5, Bas.H5, and Ccs.H5 files to the new PacBio BAM format
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The program bax2bam converts the legacy PacBio basecall format (bax.h5) into the BAM basecall format.

biceps
error-tolerant peptide identification
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BICEPS is tool for the error-tolerant identification of peptides based on a statistical regularization scheme. It balances possible improvements in peptide-spectrum-matches by allowing substitutions against the increased risk of false positives. BICEPS can identify peptides containing two or more substitutions as occuring e.g. in cross-species searches.

Please cite: Bernhard Y. Renard‡and Buote Xu, Marc Kirchner, Franziska Zickmann‡and Dominic Winter, Simone Korten‡and Norbert W. Brattig‡and Amit Tzur, Fred A. Hamprecht and Hanno Steen: Overcoming Species Boundaries in Peptide Identification with Bayesian Information Criterion-driven Error-tolerant Peptide Search (BICEPS). (PubMed,eprint) Mol Cell Proteomics ;11(7):M111.014167 (2012)
Remark of Debian Med team: Mentioned at http://www.renard.it/, developed in RKI
bigsdb
Bacterial Isolate Genome Sequence Database
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The Bacterial Isolate Genome Sequence Database (BIGSdb) is a scalable, web-accessible database system designed to store and analyse linked phenotypic and genotypic information in a computationally efficient manner. Sequence data can range from single sequence reads to multiple contigs generated by whole genome sequencing technologies. The system incorporates the capacity to define and identify any number of loci and genetic variants at those loci within the stored nucleotide sequences. These loci can be further organised into schemes for isolate characterisation or for evolutionary or functional analyses.

Please cite: Keith A. Jolley and Martin C.J. Maiden: BIGSdb: Scalable analysis of bacterial genome variation at the population level. (PubMed,eprint) BMC Bioinformatics 11:595 (2010)
bismark
bisulfite read mapper and methylation caller
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Bismark is a program to map bisulfite treated sequencing reads to a genome of interest and perform methylation calls in a single step. The output can be easily imported into a genome viewer, such as SeqMonk, and enables a researcher to analyse the methylation levels of their samples straight away. It's main features are:

  • Bisulfite mapping and methylation calling in one single step
  • Supports single-end and paired-end read alignments
  • Supports ungapped and gapped alignments
  • Alignment seed length, number of mismatches etc. are adjustable
  • Output discriminates between cytosine methylation in CpG, CHG and CHH context
Please cite: Felix Krueger and Simon R. Andrews: Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. (PubMed,eprint) Bioinformatics 27(11):1571-1572 (2011)
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blat
BLAST-Like Alignment Tool
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BLAT on DNA is designed to quickly find sequences of 95% and greater similarity of length 25 bases or more. It may miss more divergent or shorter sequence alignments. It will find perfect sequence matches of 25 bases, and sometimes find them down to 20 bases. BLAT on proteins finds sequences of 80% and greater similarity of length 20 amino acids or more. In practice DNA BLAT works well on primates, and protein blat on land vertebrates.

BLAT is not BLAST. DNA BLAT works by keeping an index of the entire genome in memory. The index consists of all non-overlapping 11-mers except for those heavily involved in repeats. The index takes up a bit less than a gigabyte of RAM. The genome itself is not kept in memory, allowing BLAT to deliver high performance on a reasonably priced Linux box. The index is used to find areas of probable homology, which are then loaded into memory for a detailed alignment. Protein BLAT works in a similar manner, except with 4-mers rather than 11-mers. The protein index takes a little more than 2 gigabytes.

Please cite: W. Jim Kent: BLAT--the BLAST-like alignment tool. (PubMed,eprint) Genome Research 12(4):656-64 (2002)
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blobology
tool set for the visualisation of genome assemblies
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Tools for making blobplots or Taxon-Annotated-GC-Coverage plots (TAGC plots) to visualise the contents of genome assembly data sets as a QC step.

blobtools consist of a series of tools that can be used to

  • collate information associated with an assembly file, such as:
    • sequence ID
    • sequence length
    • GC-content
    • coverage information
    • taxonomy information (sequence similarity search hits)
    • user-defined categories
  • visualise information using blobplots, covplots and/or readcovplots.
  • extract information into human- and computer-readable files
  • produce paper-ready figures
Please cite: Sujai Kumar, Martin Jones, Georgios Koutsovoulos, Michael Clarke and Mark Blaxter: Blobology: exploring raw genome data for contaminants, symbionts, and parasites using taxon-annotated GC-coverage plots. (PubMed,eprint) frontiers in Genetics 4:237 (2013)
braker
annotating protein coding genes in genomes.
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Genomic DNA controls the behaviour of biological cells. Understanding it, and its variations, facilitates the molecular pathology of diseases. braker.pl can either run with a genome sequence, only; or with additional alignments for short transcriptome reads against the genome; or with additional protein sequences of closely related species; or with evidence from the alignment of protein sequences of distantly related species. The package provides the means to interpret genomic sequences in FASTA format from fungi, plants and animals.

Please cite: Katharina J. Hoff, Simone Lange, Alexandre Lomsadze, Mark Borodovsky and Mario Stanke: BRAKER1: Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and AUGUSTUS.. (PubMed,eprint) Bioinformatics. 32(5):767-769 (2016)
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card-rgi
analysis of genome sequences using the Resistance Gene Identifier
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The Comprehensive Antibiotic Resistance Database ("CARD") provides data, models, and algorithms relating to the molecular basis of antimicrobial resistance. The CARD provides curated reference sequences and SNPs organized via the Antibiotic Resistance Ontology ("ARO"). These data can be browsed on the website or downloaded in a number of formats. These data are additionally associated with detection models, in the form of curated homology cut-offs and SNP maps, for prediction of resistome from molecular sequences. These models can be downloaded or can be used for analysis of genome sequences using the Resistance Gene Identifier ("RGI"), either online or as a stand-alone tool.

Please cite: Baofeng Jia, Amogelang R. Raphenya, Brian Alcock, Nicholas Waglechner, Peiyao Guo, Kara K. Tsang, Briony A. Lago, Biren M. Dave, Sheldon Pereira, Arjun N. Sharma, Sachin Doshi, Mélanie Courtot, Raymond Lo, Laura E. Williams, Jonathan G. Frye, Tariq Elsayegh, Daim Sardar, Erin L. Westman, Andrew C. Pawlowski, Timothy A. Johnson, Fiona S.L. Brinkman, Gerard D. Wright and Andrew G. McArthur: CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. (PubMed,eprint) Nucleic Acids Research 45(D1):D566-D573 (2017)
cellprofiler
quantitatively measure phenotypes from images automatically
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CellProfiler is cell image analysis software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically.

cinema
multi-sequence alignment editor and viewer
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It has been designed to be as extensible as possible. Notes of this extensibility can be found in "EXTENDING_CINEMA", and the "cinema-module" sub-directory.

Cinema currently has limited support for various sequence formats, although its easy to add new ones. A large number of alignments in the appropriate format can be found as part of the align compendium at

condetri
straight-forward trimming of FASTQ sequences
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This package is a simplistic contribution to the wealth of tools for trimming of sequences of current Next-Generation-Sequencing data. It was developed in the context of de novo whole-genome assembly.

The tool reads from the 3'-end and extract reads (or read pairs) of good quality. If the reads are paired, the filtering is done pairwise, and if one read in a pair has low quality, the remaining read is saved as single end.

Please cite: Linnéa Smeds and Axel Künstner: ConDeTri - A Concent Dependent Read Trimmer for Illumina Data. (PubMed,eprint) PLoS ONE 6(10):e26314 (2011)
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contrafold
CONditional TRAining for RNA Secondary Structure Prediction
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For several decades, free energy minimization methods have been the dominant strategy for single sequence RNA secondary structure prediction. More recently, stochastic context-free grammars (SCFGs) have emerged as an alternative probabilistic methodology for modeling RNA structure. Unlike physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, SCFGs use fully-automated statistical learning algorithms to derive model parameters. Despite this advantage, however, probabilistic methods have not replaced free energy minimization methods as the tool of choice for secondarystructure prediction, as the accuracies of the best current SCFGs have yet to match those of the best physics-based models.

CONTRAfold is a novel secondary structure prediction method based on conditional log-linear models (CLLMs), a flexible class of probabilistic models which generalize upon SCFGs by using discriminative training and feature-rich scoring. By incorporating most of the features found in typical thermodynamic models, CONTRAfold achieves the highest single sequence prediction accuracies to date, outperforming currently available probabilistic and physics-based techniques. Our result thus closes the gap between probabilistic and thermodynamic models, demonstrating that statistical learning procedures provide an effective alternative to empirical measurement of thermodynamic parameters for RNA secondary structure prediction.

Please cite: Chuong B. Do, Daniel A. Woods1 and Serafim Batzoglou: CONTRAfold: RNA secondary structure prediction without physics-based models. (PubMed,eprint) Bioinformatics 22(14):e90-e98 (2006)
covpipe
pipeline to generate consensus sequences from NGS reads
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CovPipe is a pipeline to generate consensus sequences from NGS reads based on a reference sequence. The pipeline is tailored to be used for SARS-CoV-2 data, but may be used for other viruses.

Genomic variants of your NGS data in comparison to a reference will be determined. These variants will be included into the reference and form the consensus sequences. See below for further details on the determined set of consensus sequences.

crossbow
Genotyping from short reads using cloud computing
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Crossbow is a scalable software pipeline for whole genome resequencing analysis. It combines Bowtie, an ultrafast and memory efficient short read aligner, and SoapSNP, an accurate genotyper, within Hadoop to distribute and accelerate the computation with many nodes. The pipeline can accurately analyze over 35x coverage of a human genome in one day on a 10-node local cluster, or in 3 hours for about $100 using a 40-node, 320-core cluster rented from Amazon's EC2 utility computing service.

Please cite: Ben Langmead, Michael C Schatz, Jimmy Lin, Mihai Pop and Steven L Salzberg: Searching for SNPs with cloud computing. (PubMed,eprint) Genome Biology 10:R134 (2009)
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crux-toolkit
toolkit for tandem mass spectrometry analysis
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The Crux mass spectrometry analysis toolkit is an open source project that aims to provide users with a cross-platform suite of analysis tools for interpreting protein mass spectrometry data. The toolkit includes several search engines for both standard and cross-linked database search, as well as a variety of pre- and post-processing engines for assigning high-resolution precursor masses to spectra, assigning statistical confidence estimates to spectra, peptides and proteins, and performing label free quantification.

Please cite: Sean McIlwain, Kaipo Tamura, Attila Kertesz-Farkas, Charles E. Grant, Benjamin Diament, Barbara Frewen, J. Jeffry Howbert, Michael R. Hoopmann, Lukas Käll, Jimmy K. Eng, Michael J. MacCoss and William Stafford Noble: Crux: rapid open source protein tandem mass spectrometry analysis. (PubMed) 2014 13(10):4488-4491 (Journal of Proteome Research)
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cytoscape
visualizing molecular interaction networks
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Cytoscape is an open source bioinformatics software platform for visualizing molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data. Although Cytoscape was originally designed for biological research, now it is a general platform for complex network analysis and visualization. Cytoscape core distribution provides a basic set of features for data integration and visualization.

dazzle
Java-based DAS server
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Dazzle is a general purpose server for the Distributed Annotation System (DAS) protocol. It is implemented as a Java servlet, using the BioJava APIs. Dazzle is a modular system which uses small "datasource" plugins to provide access to a range of databases. Several general-purpose plugins are included in the package, and it it straightforward to develop new plugins to connect to your own databases.

Information on DAS is available from http://www.biodas.org/

deepbinner
demultiplexing barcoded Oxford Nanopore sequencing reads
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Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier, using many of the architectural advances that have proven successful in image classification. Unlike other demultiplexers (e.g. Albacore and Porechop), Deepbinner identifies barcodes from the raw signal (a.k.a. squiggle) which gives it greater sensitivity and fewer unclassified reads.

Reasons to use Deepbinner:

  • To minimise the number of unclassified reads (use Deepbinner by itself).
  • To minimise the number of misclassified reads (use Deepbinner in conjunction with Albacore demultiplexing).
  • You plan on running signal-level downstream analyses, like Nanopolish. Deepbinner can demultiplex the fast5 files which makes this easier. Reasons to not use Deepbinner:
  • You only have basecalled reads not the raw fast5 files (which Deepbinner requires).
  • You have a small/slow computer. Deepbinner is more computationally intensive than Porechop.
  • You used a sequencing/barcoding kit other than the ones Deepbinner was trained on.
Please cite: Ryan R Wick, Louise M Judd and Kathryn E Holt: Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks. (PubMed,eprint) bioRxiv 14(11):e1006583 (2018)
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dendroscope
analyzing and visualizing rooted phylogenetic trees and networks
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Dendroscope 3 is a new program for working with rooted phylogenetic trees and networks. It provides a number of methods for drawing and comparing rooted phylogenetic networks, and for computing them from rooted trees. The program can be used interactively or in command-line mode.

Please cite: Daniel H. Huson and Celine Scornavacca: Dendroscope 3: An Interactive Tool for Rooted Phylogenetic Trees and Networks. (PubMed,eprint) Systematic Biology 61(6):1061–1067 (2012)
diann
data-independent acquisition (DIA) proteomics data processing
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DIA-NN - a universal software for data-independent acquisition (DIA) proteomics data processing by Demichev, Ralser and Lilley labs. In 2018, DIA-NN opened a new chapter in proteomics, introducing a number of algorithms which enabled reliable, robust and quantitatively accurate large-scale experiments using high-throughput methods.

Please cite: Vadim Demichev, Christoph B. Messner, Spyros I. Vernardis, Kathryn S. Lilley and Markus Ralser: DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. (PubMed) Nature Methods 17(1):41-44 (2019)
ecell
Concept and environment for constructing virtual cells on computers
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The E-Cell Project is an international research project aiming at developing necessary theoretical supports, technologies and software platforms to allow precise whole cell simulation.

The E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells, architected by Kouichi Takahashi and written by a team of developers.

The core part of the system, E-Cell Simulation Environment version 3, allows many components driven by multiple algorithms with different timescales to coexist.

E-Cell System consists of the following three major parts:

  • E-Cell Simulation Environment (or E-Cell SE)
  • E-Cell Modeling Environment (or E-Cell ME)
  • E-Cell Analysis Toolkit

This package contains all these parts, only the documentation is distributed separately.

embassy-phylip
EMBOSS conversions of the programs in the phylip package
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This package is the adaptation of the PHYLIP package in which its programs can operate with the biological sequence formats and databases of the European Molecular Biology Open Software Suite (EMBOSS). The software packages adapted for EMBOSS are called EMBASSY.

PHYLIP (the PHYLogeny Inference Package) is a package of programs for inferring phylogenies (evolutionary trees). Methods that are available in the package include parsimony, distance matrix, and likelihood methods, including bootstrapping and consensus trees. Data types that can be handled include molecular sequences, gene frequencies, restriction sites and fragments, distance matrices, and discrete characters.

The EMBASSY PHYLIP programs all have the prefix "f" to distinguish them from the original programs and avoid namespace conflict.

ensembl
basic Ensembl genome browser
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Ensembl is a joint project of the Sanger Center and the European Bioinformatics Institute, an outstation of the European Molecular Biology Laboratory, (EMBL-EBI) that are sharing a campus in Hinxton near Cambridge, UK. It presents the sequence data for the yet available complete genomes of many vertebrates and is helped by many sister-projects to cover also plants, invertebrates and bacteria.

This package provides a basic installation of Ensembl. It comprises a full copy of the public Ensembl website, minus Blast and SSAHA, and minus BioMart. It uses UniSearch instead of the engine used on the public site for searching by keyword. It connects directly to the public databases hosted by the EBI/Sanger.

This is meant as an easy way to get a basic Ensembl installation working on Debian. It can then be customised to local requirements.

Note that Ensembl has two odd dependencies: bioperl1.2.3 and libparallel-useragent-perl. Those are not required for routine browsing, but the bioperl1.2.3 library performs the parsing of BLAST outputs. Version 1.2.3 is in conflict with any other existing bioperl installation and forces you to effectively downgrade.

libwww-perl5.808 will conflict with the latest libwww-perl installation and thus force a downgrade to 5.808, which will disable many other tools on your system. Therefore it is advisable NOT to install this package in parallel with any other software, and/or use a virtual machine or dedicated machine.

WARNING: Requires internet connection both to install and to run, as it connects to the Sanger/EBI database servers during both installation and at runtime.

Remark of Debian Med team: Ensembl was removed from Debian due #645487

Ensembl used to be in Debian experimental branch but was removed for formal reasons which are explained in http://bugs.debian.org/645487

ensembl-vep
Variant Effect Predictor predicting the functional effects of genomic variants
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The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants. It has three components:

  • VEP (Variant Effect Predictor) predicts the functional effects of genomic variants.
  • Haplosaurus uses phased genotype data to predict whole-transcript haplotype sequences.
  • Variant Recoder translates between different variant encodings.
Please cite: William McLaren, Laurent Gil, Sarah E. Hunt, Harpreet Singh Riat, Graham R. S. Ritchie, Anja Thormann, Paul Flicek and Fiona Cunningham: The Ensembl Variant Effect Predictor. (PubMed,eprint) Genome Biology 17(1):122 (2016)
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euler-sr
correcting errors in short gene sequence reads and assembling them
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The EULER-SR assembly package contains a suite of programs for correcting errors in short reads and assembling them. Our assembler may take as input classical Sanger reads, 454 sequences, and Illumina reads.

Please cite: Mark J. Chaisson and Pavel A. Pevzner: Short read fragment assembly of bacterial genomes. (PubMed,eprint) Genome Research 18(2):324-30 (2008)
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euler2
de novo repeat classification and fragment assembly
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Repetitive sequences make up a significant fraction of almost any genome and an important and still open question in bioinformatics is how to represent all repeats in DNA sequences. We propose a radically new approach to repeat classification that is motivated by the fundamental topological notion of quotient spaces. A torus or Klein bottle are examples of quotient spaces that can be obtained from a square by gluing some points. Our new repeat classification algorithm is based on the observation that the alignment-induced quotient space of a DNA sequence compactly represents all sequence repeats. This observation leads to a simple and efficient solution of the repeat classification problem as well as new approaches to fragment assembly and multiple alignment.

Please cite: Pavel A. Pevzner, Haixu Tang and Glenn Tesler: De novo repeat classification and fragment assembly. RECOMB '04 Proceedings of the eighth annual international conference on Research in computational molecular biology :213-222 (2004)
exabayes
bayesian phylogenetic tree inference for large-scale analyses
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ExaBayes is a tool for Bayesian phylogenetic analyses. It implements a Markov chain Monte Carlo sampling approach that allows to determine the posterior probability of a tree (resp., topology) and various evolutionary model parameters, for instance, branch lengths or substitution rates. Similar approaches are implemented in beast-mcmc or mrbayes. ExaBayes has heavily drawn inspiration specifically from the latter one.

ExaBayes comes with the most commonly used evolutionary models, such as the generalized time reversible model (GTR) of character substitution, the discretized Gamma-model of among site rate heterogeneity and estimates trees with unconstrained branch lengths. For clocked tree models or less parameter-rich substitution models, we refer you to the established tools.

The distinguishing feature of ExaBayes is its capability to handle enormous datasets efficiently. ExaBayes provides an implementation of data parallelism using the Message Passing Interface (MPI). This means, that if you conduct your analysis on a computing cluster composed of several machines (a.k.a. nodes), the memory needed to evaluate the likelihood of trees and parameters given a large alignment can be spread out across multiple computing nodes. In conclusion, the size of the concatenated alignment ExaBayes can handle is only limited by the combined main memory of your entire computing cluster.

Please cite: Andre J. Aberer, Kassian Kobert and Alexandros Stamatakis: ExaBayes: Massively Parallel Bayesian Tree Inference for the Whole-Genome Era. (PubMed,eprint) Molecular Biology and Evolution 31(10):2553-2556 (2014)
ffp
Feature Frequency Profile Phylogeny
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FFP (Feature frequency profile) is an alignment free comparison tool for phylogenetic analysis and text comparison. It can be applied to nucleotide sequences, complete genomes, proteomes and even used for text comparison.

Please cite: Gregory E. Sims and Sung-Hou Kim: Whole-genome phylogeny of Escherichia coli/Shigella group by feature frequency profiles (FFPs). (PubMed,eprint) Proc Natl Acad Sci U S A. 108(20):8329-34 (2011)
fieldbioinformatics
pipeline with virus identification with Nanopore sequencer
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This is the ARTIC bioinformatics pipeline for working with virus sequencing data, sequenced with nanopore. It implements a complete bioinformatics protocol to take the output from the Nanopore sequencer and determine consensus genome sequences. Includes basecalling, de-multiplexing, mapping, polishing and consensus generation.

An outbreak of SARS-CoV-2, Ebola, ... something unknown? This software is field-proven.

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flappie
flip-flop basecaller for Oxford Nanopore reads
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Basecall Fast5 reads using flip-flop basecalling.

Features

  • Flip-flop basecalling for the MinION platform

  • R9.4.1 (Native or PCR libraries)

  • R10C (PCR libraries only)
  • Basecalling of 5mC in CpG context for R9.4.1, PromethION platform
forester
Graphical vizualiation tool Archaeopteryx
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Archaeopteryx is a software tool for the visualization, analysis, and editing of potentially large and highly annotated phylogenetic trees. It can be used both as applet (ArchaeopteryxA and ArchaeopteryxE) and as a standalone application.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html

BioLinux was following the upstream name change to archaeopteryx and thus the package is called bio-linux-archaeopteryx there.

The binary package is full of JARs without source.

galaxy
scientific workflow and data integration platform for computational biology
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Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience. Although it was initially developed for genomics research, it is largely domain agnostic and is now used as a general bioinformatics workflow management system.

Please cite: Marcel Martin: Cutadapt removes adapter sequences from high-throughput sequencing reads. (eprint) EMBnet.journal 17(1):10-12 (2015)
gatk
The Genome Analysis Toolkit
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The Genome Analysis Toolkit or GATK is a software package developed at the Broad Institute to analyze high-throughput sequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Please cite: Aaron McKenna, Matthew Hanna, Eric Banks, Andrey Sivachenko, Kristian Cibulskis, Andrew Kernytsky, Kiran Garimella, David Altshuler, Stacey Gabriel, Mark Daly and Mark A. DePristo: The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. (PubMed,eprint) Genome Research 20(9):1297-303 (2010)
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gerp++
identifies constrained elements in multiple alignments
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GERP is a package for analyzing evolutionary rates and finding constrained elements in a multiple alignment. It uses the notion of "rejected substitutions" (RS) in order to quantify constraint at individual positions as well as over elements spanning multiple positions.

GERP consists of two main components: gerpcol, which analyzes multiple alignments and computes RS scores for all positions, and gerpelem, which finds constrained elements given the RS scores produced by gerpcol.

Please cite: Eugene V. Davydov, David L. Goode, Marina Sirota, Gregory M. Cooper, Arend Sidow and Serafim Batzoglou: Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++. (PubMed,eprint) PLOS Computational Biology 6(12):1-13 (2010)
gramalign
multiple alignment of biological sequences
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GramAlign is a time-efficient progressive Multiple Sequence Alignment (MSA) algorithm. The novelty of GramAlign comes from the sequence distance estimation step, whereby distances are determined by the natural grammar present in nucleotide and amino acid sequences.

Please cite: D. J. Russell, H. H. Otu and K. Sayood: Grammar-based distance in progressive multiple sequence alignment. (eprint) BMC Bioinformatics 9:306 (2008)
graphbin
refined binning of metagenomic contigs using assembly graphs
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GraphBin is a NGS data-based metagenomic contig bin refinment tool that makes use of the contig connectivity information from the assembly graph to bin contigs. It utilizes the binning result of an existing binning tool and a label propagation algorithm to correct mis-binned contigs and predict the labels of contigs which are discarded due to short length.

Please cite: Vijini Mallawaarachchi, Anuradha Wickramarachchi and Yu Lin: GraphBin: refined binning of metagenomic contigs using assembly graphs. (PubMed) Bioinformatics 36:3307-3313 (2020)
graphmap2
highly sensitive and accurate mapper for long, error-prone reads
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GraphMap2 is a highly sensitive and accurate mapper for long, error- prone reads. The mapping algorithm is designed to analyse nanopore sequencing reads, which progressively refines candidate alignments to robustly handle potentially high-error rates and a fast graph traversal to align long reads with speed and high precision (>95%). Evaluation on MinION sequencing data sets against short- and long-read mappers indicates that GraphMap increases mapping sensitivity by 10–80% and maps

95% of bases. GraphMap alignments enabled single-nucleotide variant calling on the human genome with increased sensitivity (15%) over the next best mapper, precise detection of structural variants from length 100 bp to 4 kbp, and species and strain-specific identification of pathogens using MinION reads.

Please cite: Ivan Sović, Mile Šikić, Andreas Wilm, Shannon Nicole Fenlon, Swaine Chen and Niranjan Nagarajan: Fast and sensitive mapping of nanopore sequencing reads with GraphMap. (PubMed,eprint) Nature Communications 7(11307) (2016)
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haploview
Analysis and visualization of LD and haplotype maps
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This tools assists in the analysis of the nucleotide variation in a population. Such investigations are performed to determine genes and genetic pathways that are associated with diseases. This is an early stage in the quest for new drugs.

Please cite: Jeffrey C. Barrett: Haploview: Visualization and analysis of SNP genotype data. (PubMed,eprint) Cold Spring Harb Protoc. 2009(10):pdb.ip71 (2009)
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hawkeye
Interactive Visual Analytics Tool for Genome Assemblies
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Genome assembly remains an inexact science. Even when accomplished with the best software available, the assembly of a genome often contains numerous errors, both small and large. Hawkeye is a visual analytics tool for genome assembly analysis and validation, designed to aid in identifying and correcting assembly errors. Hawkeye blends the best practices from information and scientific visualization to facilitate inspection of large-scale assembly data while minimizing the time needed to detect mis-assemblies and make accurate judgments of assembly quality.

All levels of the assembly data hierarchy are made accessible to users, along with summary statistics and common assembly metrics. A ranking component guides investigation towards likely mis-assemblies or interesting features to support the task at hand. Wherever possible, high-level overviews, dynamic filtering, and automated clustering are leveraged to focus attention and highlight anomalies in the data. Hawkeyes effectiveness has been proven on several genome projects, where it has been used both to improve quality and to validate the correctness of complex genomes.

Hawkeye is compatible with most widely used assemblers, including Phrap, ARACHNE, Celera Assembler, Newbler, AMOS, and assemblies deposited in the NCBI Assembly Archive.

Please cite: Michael C. Schatz, Adam M. Phillippy, Daniel D. Sommer, Arthur L. Delcher, Daniela Puiu, Giuseppe Narzisi, Steven L. Salzberg and Mihai Pop: Hawkeye and AMOS: visualizing and assessing the quality of genome assemblies. (PubMed,eprint) Briefings in Bioinformatics (2011)
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htqc
Quality control and filtration for illumina sequencing data
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HTQC is a toolkit including statistics tool for illumina high-throughput sequencing data, and filtration tools for sequence quality, length, tail quality, etc..

Please cite: Xi Yang, Di Liu, Fei Liu, Jun Wu, Jing Zou, Xue Xiao, Fangqing Zhao and Baoli Zhu: HTQC: a fast quality control toolkit for Illumina sequencing data. (PubMed,eprint) BMC Bioinformatics 14:33 (2013)
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idefix
index checking for improved demultiplexing of NGS data
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IDeFIX is a tool for demultiplexing Illumina NGS data.

It reports inconsistencies between the raw data and the Sample Sheet, checks for duplicates of indices/ index combinations in the latter and removes unwanted characters from it. Apart from messages printed on the terminal, IDeFIX creates an IDeFIX_Report.csv containing the indices/ index combinations from the raw data and their abundance as well as their count in the Sample Sheet and the corresponding Index ID(s). This file is stored in the project folder.

inspect
mass-spectrometry database search tool
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Inspect is a MS/MS database search tool specifically designed to address two crucial needs of the proteomics comminuty: post-translational modification identification and search speed. The program is available as a free download or online in the ProteoSAFe webserver. The online interface is coordinated with other proteomics software developed in the lab, like PepNovo

Typical database searches do not deal well with the dynamic nature of the proteome. Post-translational modifications, alternative splicing, and laboratory chemisty all affect protein behavior and make spectrum interpretation more challenging. The primary challenge is that the "virtual database" of all modified peptides undergoes a combinatorial explosion when a broad range of modifications is allowed. This affects search running time. A secondary challenge is that in this richer database, there are many more close "relatives" for each peptide. This affects scoring accuracy, since differentiating between correct and incorrect identifications is more difficult.

InsPecT addresses several algorithmic problems in order to identify modified proteins.

InsPecT uses peptide sequence tags (PSTs) to filter the database. InsPecT has an internal tag generator, but can accept tags generated by other tools (e.g. Pepnovo, GutenTAG). Because de novo is imperfect, multiple tags are produced for each spectrum, to ensure that (at least) one tag is corrrect. These PSTs are extremely efficient filters, even in the context of up to a dozen possible modifications. Tag-based filtering can also be combined with the "two-pass" filtering pioneered by X!Tandem, where from one search provides a list of proteins (a mini- database) for a more detailed search.

Unanticipated modifications are common in proteomics. InsPecT implements the MS-Alignment algorithm for "blind" spectral search, with no bias toward anticipated modification types. This search has been applied to annotate heavily-modified proteins such as crystallins.

Please cite: Stephen Tanner, Hongjun Shu, Ari Frank, Ling-Chi Wang, Ebrahim Zandi, Marc Mumby, Pavel A. Pevzner and Vineet Bafna: InsPecT: Fast and accurate identification of post-translationally modified peptides from tandem mass spectra. (PubMed) Anal Chem. 77(14):4626-39 (2005)
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jbrowse
genome browser with an AJAX-based interface
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JBrowse is a genome browser with an AJAX-based interface. JBrowse renders most tracks using client side JavaScript and JSON as its data transfer format. JBrowse is the official successor to GBrowse.

kempbasu
significance tests for comparing digital gene expression profiles
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This package implements the significance tests for comparing digital gene profiles described in the article:

Varuzza et al. "Significance tests for comparing digital gene expression profiles"

They provide two programs: kemp for the frequentist test and basu for the Bayesian test, and some auxiliary scripts.

mach-haplotyper
Markov Chain based SNP haplotyper
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Recent advancements in chip-based DNA genotyping allow to infer DNA variants that are not part of the chip but known to be associated with a combination of SNPs that are measured.

Please cite: Yun Li, Cristen J. Willer, Jun Ding, Paul Scheet and Gonçalo R. Abecasis: MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. (PubMed) Genetic Epidemiology 34(8):816-34 (2010)
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mage2tab
MAGE-MLv1 converter and visualiser
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This tool-kit is part of MR_T, a framework for import or export various of MAGE (MicroArray Gene Expression) documents (MAGE-MLv1, MAGE-TAB, SOFT, MINiML) from or into databases like GUS (the Genomics Unified Schema, www.gusdb.org).

This package provides the following programs:

 mage2tab     — MAGE-MLv1 to MAGE-TAB converter
 mage2graph   — GraphViz-based mage data visualisation tool
 mage-checker — Validation tool
manta
structural variant and indel caller for mapped sequencing data
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Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles and scores large-scale SVs, medium- sized indels and large insertions within a single efficient workflow. The method is designed for rapid analysis on standard compute hardware: NA12878 at 50x genomic coverage is analyzed in less than 20 minutes on a 20 core server, and most WGS tumor/normal analyses can be completed within 2 hours. Manta combines paired and split-read evidence during SV discovery and scoring to improve accuracy, but does not require split- reads or successful breakpoint assemblies to report a variant in cases where there is strong evidence otherwise. It provides scoring models for germline variants in small sets of diploid samples and somatic variants in matched tumor/normal sample pairs. There is experimental support for analysis of unmatched tumor samples as well. Manta accepts input read mappings from BAM or CRAM files and reports all SV and indel inferences in VCF 4.1 format.

Please cite: Xiaoyu Chen, Ole Schulz-Trieglaff, Richard Shaw, Bret Barnes, Felix Schlesinger, Morten Källberg, Anthony J. Cox, Semyon Kruglyak and Christopher T. Saunders: Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. (PubMed,eprint) Bioinformatics 32(8):1220-1222 (2015)
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marginphase
simultaneous haplotyping and genotyping
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MarginPhase is a program for simultaneous haplotyping and genotyping. It is an experimental, open source implementation written in C and developed to work primarily with nanopore data. The MarginPhase workflow includes an alignment summation step. This differentiates it from WhatsHap, which performs a local realignment around analyzed sites. MarginPhase can also phase genotypic variants simultaneously after filtering out the sites that are likely homozygous. MarginPhase’s output includes a BAM which encodes the phasing of each read, including which phase set it is in, which haplotype it belongs to, and what of the aligned portion falls into each phase set. Reads which span a phase set boundary have information for both encoded in them.

Please cite: Jana Ebler, Marina Haukness, Trevor Pesout, Tobias Marschall and Benedict Paten: Haplotype-aware diplotyping from noisy long reads. (PubMed,eprint) Genome Biol 20(1):116 (2019)
martj
distributed data integration system for biological data
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BioMart is a simple, distributed data integration system with powerful query capabilities. The BioMart data model has been applied to the following data sources: UniProt Proteomes, Macromolecular Structure Database (MSD), Ensembl, Vega, and dbSNP.

It has been designed to provide researchers with an easy and interactive access to both the wealth of data available on the Internet and for in house data integration. BioMart is a successor to the generic query system originally developed for the Ensembl genome database (EnsMart). Building on its success, BioMart, has now been applied to other biological databases.

medaka
sequence correction provided by ONT Research
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Medaka is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads against a draft assembly. It outperforms graph-based methods operating on basecalled data, and can be competitive with state-of-the-art signal-based methods, whilst being much faster.

Features

  • Requires only basecalled data. (.fasta or .fastq)
  • Improved accurary over graph-based methods (e.g. Racon).
  • 50X faster than Nanopolish (and can run on GPUs).
  • Methylation aggregation from Guppy .fast5 files.
  • Benchmarks are provided here.
  • Includes extras for implementing and training bespoke correction networks.
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meme
search for common motifs in DNA or protein sequences
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MEME (Multiple EM for Motif Elicitation) is a tool for discovering motifs in a group of related DNA or protein sequences. A motif is a sequence pattern that occurs repeatedly in a group of related protein or DNA sequences. MEME represents motifs as position-dependent letter-probability matrices which describe the probability of each possible letter at each position in the pattern. Individual MEME motifs do not contain gaps. Patterns with variable-length gaps are split by MEME into two or more separate motifs.

MEME takes as input a group of DNA or protein sequences (the training set) and outputs as many motifs as requested. MEME uses statistical modeling techniques to automatically choose the best width, number of occurrences, and description for each motif.

Please cite: Timothy L. Bailey, Nadya Williams, Chris Misleh and Wilfred W. Li: MEME: discovering and analyzing DNA and protein sequence motifs. (PubMed,eprint) Nucleic Acids Research 34(Web Server issue):W369–W373 (2006)
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mesquite
modular system for evolutionary analysis
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Mesquite is modular, extendible software for evolutionary biology, designed to help biologists organize and analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern population genetics, while others do non-phylogenetic multivariate analysis. Because it is modular, the analyses available depend on the modules installed.

Mesquite also has many features for managing and processing data, including processing of chromatograms, sequence alignment, editing of morphometric data, and others.

metabit
analysing microbial profiles from high-throughput sequencing shotgun data
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MetaBIT is an integrative and automated metagenomic pipeline for analysing microbial profiles from high-throughput sequencing shotgun data.

The metaBIT pipeline proposes tools for visualising microbial profiles (barplots, heatmaps) and performing a range of statistical analyses (diversity indices, hierarchical clustering and principal coordinate analysis). It uses as input fastq files containing trimmed reads from shotgun high through-put sequencing.

Please cite: Guillaume Louvel, Clio Der Sarkissian, Kristian Hanghøj and Ludovic Orlando: metaBIT, an integrative and automated metagenomic pipeline for analysing microbial profiles from high-throughput sequencing shotgun data. (PubMed) Molecular Ecology Resources (2016)
modeller
Protein structure modeling by satisfaction of spatial restraints
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Version: 9.19-1

MODELLER is used for homology or comparative modeling of protein three-dimensional structures (1). The user provides an alignment of a sequence to be modeled with known related structures and MODELLER automatically calculates a model containing all non-hydrogen atoms. MODELLER implements comparative protein structure modeling by satisfaction of spatial restraints (2, 3), and can perform many additional tasks, including de novo modeling of loops in protein structures, optimization of various models of protein structure with respect to a flexibly defined objective function, multiple alignment of protein sequences and/or structures, clustering, searching of sequence databases, comparison of protein structures, etc.

Please cite: M.A. Marti-Renom, A. Stuart, A. Fiser, R. Sánchez and F. Melo, A. Sali.: Comparative protein structure modeling of genes and genomes. (PubMed) Annu Rev Biophys Biomol Struct. 29:291-325 (2000)
Remark of Debian Med team: The package is created independently from Debian Med or Debian Science.

The source code is not generally available. Hence, most users are limited to the compiled versions of MODELLER. The program is distributed as a single install file that contains scripts, libraries, examples, documentation (in PDF and HTML formats) and executables for the supported platforms and operating systems. Please refer to the relevant section below for your platform:

The program comes as closed source, only free for academia, see http://salilab.org/modeller/registration.html.

molekel
Advanced Interactive 3D-Graphics for Molecular Sciences
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Molekel is an open-source multi-platform molecular visualization program.

Some of the features are:

  • Different methods to speed-up rendering of molecules with support for billboards and view-dependent level of detail techniques
  • Programmable shaders; standard shaders to enhance rendering quality, outline contours and perform sketch-like renderings are provided
  • Visualization of residues (ribbon or schematic)
  • Complete control over the generation of molecular surfaces (bounding box and resolution)
  • Visualization of the following surfaces:
  • Orbitals
  • Iso-surface from density matrix
  • Iso-surface from Gaussian cube grid data
  • SAS
  • SES
  • Van der Waals
  • Animation of molecular surfaces
  • Animation of vibrational modes
  • Export high resolution images for 300+ DPI printing
  • Export to PostScript and PDF
  • Export animation
  • Plane widget to visualize a scalar field: the plane can be freely moved in 3d space and the points on the plane surface will be colored according to the value of the scalar field: a cursor can be moved on the plane surface to show the exact value of the field at a specific point in space.
mosaik-aligner
reference-guided aligner for next-generation sequencing
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MosaikBuild converts various sequence formats into Mosaik’s native read format. MosaikAligner pairwise aligns each read to a specified series of reference sequences. MosaikSort resolves paired-end reads and sorts the alignments by the reference sequence coordinates. Finally, MosaikText converts alignments to different text-based formats.

At this time, the workflow consists of supplying sequences in FASTA, FASTQ, Illumina Bustard & Gerald, or SRF file formats and producing results in the BLAT axt, the BAM/SAM, the UCSC Genome Browser bed, or the Illumina ELAND formats.

mpsqed
alignment editor and multiplex pyrosequencing assay designer
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Molecular-based diagnostic assays are the gold standard for infectious diseases today, since they allow a rapid and sensitive identification and typing of various pathogens. While PCR can be designed to be specific for a certain pathogen, a subsequent sequence analysis is frequently required for confirmation or typing. The design of appropriate PCR-based assays is a complex task, especially when conserved discriminating polymorphisms are rare or if the number of types which need to be differentiated is high. One extremely useful but underused method for this purpose is the multiplex pyrosequencing technique. mPSQed is a program developed at the Robert Koch Institute and targeted at facilitating the creation of such assays.

Please cite: Piotr Wojtek Dabrowski and Andreas Nitsche: mPSQed: A Software for the Design of Multiplex Pyrosequencing Assays. (PubMed,eprint) PLoS One 7(6):e38140 (2012)
mrs
Information Retrieval System for Biomedical databanks
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MRS is a complete system to retrieve, index and query biological and medical databanks. It comes with all the code required to fetch data using FTP or rsync, then creates a local databank with indices using a databank specific parser written in Perl. It can then serve this data using a built-in web application and webservices.

Searching can be done on words and Boolean queries. As a bonus you can search protein sequences using a custom Blast algorithm.

Please cite: Maarten L. Hekkelman and Gert Vriend: MRS: a fast and compact retrieval system for biological data. (PubMed,eprint) Nucleic Acids Res. 33:W766-W769 (2005)
Registry entries: Bio.tools 
Remark of Debian Med team: mrs might occupy a lot of space on users disk - so you want to avoid this package from the metapackage recommends
mugsy
multiple whole genome alignment tool
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Mugsy is a multiple whole genome aligner. Mugsy uses Nucmer for pairwise alignment, a custom graph based segmentation procedure for identifying collinear regions, and the segment-based progressive multiple alignment strategy from Seqan::TCoffee. Mugsy accepts draft genomes in the form of multi-FASTA files and does not require a reference genome.

Please cite: Samuel V. Angiuoli and Steven L. Salzberg: Mugsy: fast multiple alignment of closely related whole genomes. (PubMed,eprint) Bioinformatics 27(3):334-342 (2011)
Registry entries: SciCrunch  Bioconda 
mview
biological sequence alignment conversion
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mview is a command line utility that extracts and reformats the results of a sequence database search or a multiple alignment, optionally adding HTML markup for web page layout. It can also be used as a filter to extract and convert searches or alignments to common formats.

Inputs:

  • Sequence database search: BLAST, FASTA suites.
  • Multiple sequence alignment: CLUSTAL, HSSP, MSF, FASTA, PIR, MAF Outputs:

  • HTML, FASTA, CLUSTAL, MSF, PIR, RDB (tab-separated).

The redundancy of that source tree with existing JS packages needs to be evaluated. In the interim, the package shall remain in experimental.

Please cite: Nigel P. Brown, C. Leroy and Christian Sander: MView: A Web compatible database search or multiple alignment viewer. (PubMed,eprint) Bioinformatics 14(4):380-381 (1998)
nano-snakemake
detection of structural variants in genome sequencing data
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To "have a genetic variation" may mean many different things. Technically most straight forward to investigate are changes to single positions in the long DNA chains - every chromosome is a single polymer of nucleic acids. This is also what we have most data from for many diseases.

But sometimes, DNA that looks completely the same when looking at short reads at the time (and not feeling lucky), the position looked at may be inverted on the chromosome. Or it may be a copy of the original site and not a "real" single-nucleotide polymorphism (SNP). Or it may have translocated to another chromosome.

These are examples for structural changes to the DNA. Individuals may never notice them. Or there may be a higher chances to develop a disease or it may affect fertility. Technologies like the Nanopore have emerged that can read longer segments of the DNA, so one can see multiple copies of the same gene in the same read or at least can assemble the DNA fragments read in a way to then align the reads non-ambiguously and support the analysis of such copy-number variations (CNVs).

This snakemake pipeline on nanopore whole genome sequencing data provides a complete structural variant analysis. Steps implemented and tools wrapped comprise:

  • fast: minimap2 alignment with Sniffles and SVIM SV calling
  • precise: ngmlr alignment with Sniffles SV calling
  • minimap2: minimap2 alignment with Sniffles, SVIM, NanoSV and npInv SV calling
  • minimap2_pbsv: minimap2 alignment with pbsv-specific parameters with pbsv, SVIM, NanoSV and npInv SV calling
  • ngmlr: ngmlr with Sniffles, NanoSV, SVIM and npInv SV calling
  • last-prepare: create a LAST index and train aligner parameters using last-train
  • last: LAST alignment with tandem-genotypes STR calling
Please cite: Wouter De Coster, Peter De Rijk, Arne De Roeck, Tim De Pooter, Svenn D'Hert, Mocja Strazisar, Sleegers Kristel and Christine Van Broeckhoven: Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome. Genome Res. (2019.0)
nanocall
Basecaller for Oxford Nanopore Sequencing Data
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The highly portable Oxford Nanopore MinION sequencer has enabled new applications of genome sequencing directly in the field. However, the MinION currently relies on a cloud computing platform, Metrichor (metrichor.com), for translating locally generated sequencing data into basecalls.

Nanocall allows offline and private analysis of MinION data. Nanocall is the first freely-available, open-source basecaller for Oxford Nanopore sequencing data and does not require an internet connection. Using R7.3 chemistry, on two E.coli and two human samples, with natural as well as PCR-amplified DNA, Nanocall reads have ~68% identity, directly comparable to Metrichor "1D" data. Further, Nanocall is efficient, processing ~2500Kbp of sequence per core hour using the fastest settings, and fully parallelized. Using a 4 core desktop computer, Nanocall could basecall a MinION sequencing run in real time. Metrichor provides the ability to integrate the "1D" sequencing of template and complement strands of a single DNA molecule, and create a "2D" read. Nanocall does not currently integrate this technology, and addition of this capability will be an important future development. In summary, Nanocall is the first open-source, freely available, off-line basecaller for Oxford Nanopore sequencing data.

Please cite: Matei David, Lewis Jonathan Dursi, Delia Yao, Paul C Boutros and Jared T Simpson: Nanocall: An Open Source Basecaller for Oxford Nanopore Sequencing Data. (PubMed,eprint) Bioinformatics (2016)
Registry entries: Bioconda 
nanocomp
compare multiple runs of long biological sequences
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NanoClmp compares multiple runs of long read sequencing data and alignments. It creates violin plots or box plots of length, quality and percent identity and creates dynamic, overlaying read length histograms and a cumulative yield plot.

This package installs the 'NanoCalc' executable.

Please cite: Wouter De Coster, Svenn D’Hert, Darrin T Schultz, Marc Cruts and Christine Van Broeckhoven: NanoPack: visualizing and processing long-read sequencing data. (PubMed,eprint) Bioinformatics 34(15):2666–2669 (2018)
Registry entries: Bioconda 
nanoplot
plotting scripts for long read sequencing data
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NanoPlot provides plotting scripts for long read sequencing data.

These scripts perform data extraction from Oxford Nanopore sequencing data in the following formats:

  • fastq files (optionally compressed)
  • fastq files generated by albacore, guppy or MinKNOW containing additional information (optionally compressed)
  • sorted bam files
  • sequencing_summary.txt output table generated by albacore, guppy or MinKnow basecalling (optionally compressed)
  • fasta files (optionally compressed)
  • multiple files of the same type can be offered simultaneously
Please cite: Wouter De Coster, Svenn D'Hert, Darrin T Schultz, Marc Cruts and Christine Van Broeckhoven: NanoPack: visualizing and processing long-read sequencing data. (PubMed,eprint) Bioinformatics 34(15):2666-2669 (2018)
Registry entries: Bioconda 
ncbi-magicblast
RNA-seq mapping tool
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Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read- pairing is ignored.

Please cite: Grzegorz M. Boratyn, Jean Thierry-Mieg, Danielle Thierry-Mieg, Ben Busby and Thomas L. Madden: Magic-BLAST, an accurate RNA-seq aligner for long and short reads. (PubMed,eprint) BMC Bioinformatics 20(1):405 (2019)
Registry entries: Bioconda 
nextsv
automated structural variation detection for long-read sequencing
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NextSV is an computational pipeline that allows structural variant (SV) calling from PacBio sequencing data using PBhoney and Sniffles. NextSV takes FASTA or FASTQ files as input. Once the SV caller is selected by user, NextSV automatically chooses the compatible aligner and performs mapping. The alignments will be automatically sorted and then presented to the SV caller. Users can change the parameters by modifying its configuration file. When the analysis is finished, NextSV will examine the FASTA/FASTQ, BAM, and result files and generate a report showing various statistics. If more than both callers are selected, NextSV will format the raw result files (.tails, .spots, or .vcf files) into bed files and generate the intersection or union call set for the purpose of higher accuracy or sensitivity.

Please cite: Li Fang, Jiang Hu, Depeng Wang and Kai Wang: Evaluation on Detection of Structural Variants by Low-Coverage Long-Read Sequencing. bioRxiv (2016)
Registry entries: Bio.tools 
ngila
global pairwise alignments with logarithmic and affine gap costs
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Ngila is an application that will find the best alignment of a pair of sequences using log-affine gap costs, which are the most biologically realistic gap costs.

Ngila implements the Miller and Myers (1988) algorithm in order to find a least costly global alignment of two sequences given homology costs and a gap cost. Two versions of the algorithm are included: holistic and divide-and-conquer. The former is faster but the latter utilizes less memory. Ngila starts with the divide-and-conquer method but switches to the holistic method for subsequences smaller than a user-established threshold. This improves its speed without substantially increasing memory requirements. Ngila also allows users to assign costs to end gaps that are smaller than costs for internal gaps. This is important for aligning using the free-end-gap method.

Please cite: Reed A. Cartwright: Ngila: global pairwise alignments with logarithmic and affine gap costs. (PubMed,eprint) Bioinformatics 23(11):1427-1428 (2007)
ngsqctoolkit
toolkit for the quality control of next generation sequencing data
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NGS QC Toolkit: A toolkit for the quality control (QC) of next generation sequencing (NGS) data. The toolkit comprises of user-friendly stand alone tools for quality control of the sequence data generated using Illumina and Roche 454 platforms with detailed results in the form of tables and graphs, and filtering of high-quality sequence data. It also includes few other tools, which are helpful in NGS data quality control and analysis.

Please cite: Ravi K. Patel and Mukesh Jain: NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data. (PubMed,eprint) PLoS One 7(2):e30619 (2012)
nw-align
global protein sequence alignment
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NWalign is simple and robust alignment program for protein sequence-to-sequence alignments based on the standard Needleman-Wunsch dynamic programming algorithm. The implementation is performed in FORTRAN.

This program was tested at 2014-02-01 by Daniel Barker at the Debian Med sprint and was not functional according to his test.

oases
de novo transcriptome assembler for very short reads
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Oases is a de novo transcriptome assembler designed to produce transcripts from short read sequencing technologies, such as Illumina, SOLiD, or 454 in the absence of any genomic assembly. Oases uploads a preliminary assembly produced by Velvet, and clusters the contigs into small groups, called loci. It then exploits the paired-end read and long read information, when available, to construct transcript isoforms.

Please cite: Marcel H. Schulz, Daniel R. Zerbino, Martin Vingron and Ewan Birney: Oases: Robust de novo RNA-seq assembly across the dynamic range of expression levels. (PubMed,eprint) Bioinformatics 28(8):1086-1092 (2012)
Registry entries: Bio.tools  SciCrunch 
omegamap
describing selection and recombination in sequences
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OmegaMap is a program for detecting natural selection and recombination in DNA or RNA sequences. It is based on a model of population genetics and molecular evolution. The signature of natural selection is determined by the relative excess of non-synonymous to synonymous polymorphisms. The signature of recombination is detected from the patterns of linkage disequilibrium.

Please cite: Daniel J. Wilson and G. McVean: Estimating diversifying selection and functional constraint in the presence of recombination.. (PubMed,eprint) Genetics 172(3):1411-1425 (2006)
Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
oncofuse
predicting oncogenic potential of gene fusions
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Oncofuse is a framework designed to estimate the oncogenic potential of de-novo discovered gene fusions. It uses several hallmark features and employs a bayesian classifier to provide the probability of a given gene fusion being a driver mutation.

Please cite: Mikhail Shugay, Iñigo Ortiz de Mendíbil, José L. Vizmanos and Francisco J. Novo: Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions. (PubMed,eprint) Bioinformatics 29(20):2539–2546 (2013)
Registry entries: SciCrunch 
optitype
precision HLA typing from next-generation sequencing data
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OptiType is a novel HLA genotyping algorithm based on integer linear programming, capable of producing accurate 4-digit HLA genotyping predictions from NGS data by simultaneously selecting all major and minor HLA Class I alleles.

Please cite: András Szolek, Benjamin Schubert, Christopher Mohr, Marc Sturm, Magdalena Feldhahn and Oliver Kohlbacher: OptiType: precision HLA typing from next-generation sequencing data. (PubMed,eprint) Bioinformatics 30(23):3310–3316 (2014)
paipline
Pipeline for the Automatic Identification of Pathogens
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This program is designed to search for pathogen nucleic acid sequences in NGS datasets. It needs databases in the format provided by the database- updater found under https://gitlab.com/andreas.andrusch/database-updater.

Please cite: Andreas Andrusch, Piotr W. Dabrowski, Jeanette Klenner, Simon H. Tausch, Claudia Kohl, Abdalla A. Osman, Bernhard Y. Renard and Andreas Nitsche: PAIPline: pathogen identification in metagenomic and clinical next generation sequencing samples. (eprint) Bioinformatics 34(17):i715-i721 (2018)
pangolin
Phylogenetic Assignment of Named Global Outbreak LINeages
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Pangolin runs a multinomial logistic regression model trained against lineage assignments based on GISAID data.

Legacy pangolin runs using a guide tree and alignment hosted at cov-lineages/lineages. Some of this data is sourced from GISAID, but anonymised and encrypted to fit with guidelines. Appropriate permissions have been given and acknowledgements for the teams that have worked to provide the original SARS-CoV-2 genome sequences to GISAID are also hosted here.

Registry entries: Bioconda 
partitionfinder
choses partitioning schemes and models of molecular evolution for sequence data
Responsible: Kevin Murray (Andreas Tille)
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PartitionFinder and PartitionFinderProtein are Python programs for simultaneously choosing partitioning schemes and models of molecular evolution for sequence data. You can use them before running a phylogenetic analysis, in order to decide how to divide up your sequence data into separate blocks before analysis, and to simultaneously perform model selection on each of those blocks.

patristic
Calculate patristic distances and comparing the components of genetic change
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Patristic overcomes some logistic barriers to analysing signals in sequences. In additional to calculating patristic distances, it provides plots for any combination of matrices, calculates commonly used statistics, allows data such as isolation dates to be entered and reorders matrices with matching species or gene labels. It will be used to analyse rates of mutation and substitutional saturation and the evolution of viruses.

Please cite: Mathieu Fourment and Mark J Gibbs: PATRISTIC: a program for calculating patristic distances and graphically comparing the components of genetic change. (PubMed,eprint) BMC Evolutionary Biology 6:1 (2006)
pcma
fast and accurate multiple sequence alignment based on profile consistency
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PCMA (profile consistency multiple sequence alignment) is a progressive multiple sequence alignment program that combines two different alignment strategies. Highly similar sequences are aligned in a fast way as in ClustalW, forming pre-aligned groups. The T-Coffee strategy is applied to align the relatively divergent groups based on profile–profile comparison and consistency. The scoring function for local alignments of pre-aligned groups is based on a novel profile–profile comparison method that is a generalization of the PSI-BLAST approach to profile–sequence comparison. PCMA balances speed and accuracy in a flexible way and is suitable for aligning large numbers of sequences.

Please cite: Jimin Pei, Ruslan Sadreyev and Nick V. Grishin: PCMA: fast and accurate multiple sequence alignment based on profile consistency. (PubMed,eprint) Bioinformatics 19(3):427-428 (2003)
Remark of Debian Med team: Precondition for T-Coffee

see http://wiki.debian.org/DebianMed/TCoffee

Check with authors about licensing, they adopted code from clustalw which is now free. Thus a change might be possible

phylophlan
microbial Tree of Life using 400 universal proteins
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PhyloPhlAn is a computational pipeline for reconstructing highly accurate and resolved phylogenetic trees based on whole-genome sequence information. The pipeline is scalable to thousands of genomes and uses the most conserved 400 proteins for extracting the phylogenetic signal. PhyloPhlAn also implements taxonomic curation, estimation, and insertion operations.

The main features of PhyloPhlAn are:

  • completely automatic, as the user needs only to provide the (unannotated) protein sequences of the input genomes (as multifasta files of peptides - not nucleotides)
  • very high topological accuracy and resolution because of the use of up to 400 previously identified most conserved proteins
  • the possibility of integrating new genomes in the already reconstructed most comprehensive tree of life (3,171 microbial genomes)
  • taxonomy estimation for the newly inserted genomes
  • taxonomic curation for the produced phylogenetic trees
Please cite: Nicola Segata, Daniela Börnigen, Xochitl C. Morgan and Curtis Huttenhower: PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes. (PubMed,eprint) Nature Communications 4:2304 (2013)
Remark of Debian Med team: usearch can not be replaced since vsearch does not work with proteins

See https://lists.debian.org/debian-med/2016/05/msg00091.html

phyloviz-core
phylogenetic inference and data visualization for sequence based typing methods
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Phyloviz allows the analysis of sequence-based typing methods that generate allelic profiles and their associated epidemiological data.

For representing the possible evolutionary relationships between strains identified by allelic profiles it uses the goeBURST algorithm, a refinement of eBURST algorithm proposed by Feil et al., and its expansion to generate a complete minimum spanning tree (MST).

Phyloviz is being developed in a modular way to allow its expansion with novel data analysis algorithms and new visualization modules.

Capabilities

  • Modularity allows the creation of plugins to analyse different types of data
  • Allows the visualization of data overlaid onto goeBURST and MST results
  • Confidence assessment of each link in the graph
  • Query the data and see the query results directly onto the graphs
  • Search your data set using regular expressions to select what to display
  • Export the results as images in various formats: eps, png, gif, pdf, etc
Please cite: Alexandre P Francisco, Cátia Vaz, Pedro T Monteiro, José Melo-Cristino, Mário Ramirez and João A Carriço: PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods. (PubMed,eprint) BMC Bioinformatics 13(1):87 (2012)
Remark of Debian Med team: There are several plugins to package

The download page http://www.phyloviz.net/wiki/plugins/ lists several plugins that should be packaged (single or as bundle) as well.

pigx-scrnaseq
pipeline for checkpointed and distributed scRNA-seq analyses
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This package provides a automated workflow for the automated analysis of single-cell RNA-seq experiments. A series of well-accecpted tools are connected in Python scripts and controlled via snakemake. This supports the parallel execution of these workflows and provides checkpointing, such that interrupted workflows can take up their work again.

pipasic
Protein Abundance Correction in Metaproteomic Data
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Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise due to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges arising in the analysis of metagenomic samples and require specific solutions.

pipasic (peptide intensity-weighted proteome abundance similarity correction) is a tool which corrects identification and spectral counting based quantification results using peptide similarity estimation and expression level weighting within a non-negative lasso framework. pipasic has distinct advantages over approaches only regarding unique peptides or aggregating results to the lowest common ancestor.

Please cite: Anke Penzlin, Martin S. Lindner, Joerg Doellinger, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. Renard: Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics. (PubMed,eprint) Bioinformatics 30(12):i149–i156 (2014)
plato
Analysis, translation, and organization of large-scale genetic data
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PLATO is an acronym for "PLatform for the Analysis, Translation, and Organization of large-scale data". Recent technological advances enable the study of hundreds of thousands of human single-nucleotide polymorphisms at the population level. Because strategies for analyzing these data have not kept pace with the laboratory methods that generate the data, it is unlikely that these advances will immediately lead to an improved understanding of the genetic contribution to common human disease and drug response. Currently, no single analytical method allows us to extract all available information from a whole-genome association study. In fact, no single method can be optimal for all datasets, especially when the genetic architecture for diseases can vary substantially, as is certainly the case. Therefore, an integrative platform is needed to accommodate multiple analytical methods for analysis as we learn more about genetic architecture. As a result, we are developing a system for the analysis of genome-wide association data that will incorporate several analytical approaches as filters to allow a scientist to choose whatever analytical methods they wish to apply. PLATO (PLatform for the Analysis, Translation, and Organization of large-scale data) will incorporate a number of filters to select the important SNPs in a genome-wide association study.

Whole-genome Association Study Pipeline (WASP) has recently been absorbed into PLATO. WASP was designed to aid in retrieving, evaluating, formatting, and analyzing genotypic and clinical data from the latest large-scale genotyping studies. WASP implements a battery of quality control procedures to assess the data. Among the currently available procedures are the examination of marker and sample genotyping efficiency, allele frequency calculations, checks of Mendelian error (if applicable) and gender discrepancies (based on available chromosome X and Y genotypes), and tests of Hardy-Weinberg Equilibrium. Additionally, WASP can retrieve and format data for other software programs such as the Graphical Representation of Relationships (GRR) program, or STRUCTURE, and depending on the nature of the samples and the depth of examination the user desires to pursue. Beyond the quality control aspect of this application, WASP can perform standard tests of association using the Transmission Disequilibrium Test TDT for family-based datasets and the chi-square test of association for case-control datasets.

Please cite: Benjamin J. Grady, Eric Torstenson, Scott M. Dudek, Justin Giles, David Sexton and Marylyn D. Ritchie: Finding unique filter sets in PLATO: a precursor to efficient interaction analysis in GWAS data. (PubMed,eprint) Proceedings of the Pacific Symposium :315-26 (2010)
pomoxis
analysis components from Oxford Nanopore Research
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Pomoxis comprises a set of basic bioinformatic tools tailored to nanopore sequencing. Notably tools are included for generating and analysing draft assemblies. Many of these tools are used by the research data analysis group at Oxford Nanopore Technologies.

Features

  • Wraps third party tools with known good default parameters and methods of use.
  • Creates an isolated environment with all third-party tools.
  • Streamlines common short analysis chains.
  • Integrates into katuali for performing more complex analysis pipelines.
Registry entries: Bioconda 
profit - wnpp
Protein structure alignment
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ProFit is designed to be the ultimate protein least squares fitting program. It has many features including flexible specification of fitting zones and atoms, calculation of RMS over different zones or atoms, RMS-by-residue calculation, on-line help facility, etc.

A symbolic link is provided to have the binary name back to how it is historically correct.

Remark of Debian Med team: The authors need to change the license, still.
profphd
secondary structure and solvent accessibility predictor
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This package provides prof(1), the protein secondary structure, accessibility and transmembrane helix predictor from Burkhard Rost. Prediction is either done from protein sequence alone or from an alignment - the latter should be used for optimal performance.

How well does prof(1) perform?

  • Secondary structure is predicted at an expected average accuracy > 72% for the three states helix, strand and loop.

  • Solvent accessibility is predicted at a correlation coefficient (correlation between experimentally observed and predicted relative solvent accessibility) of 0.54

  • Transmembrane helix prediction has an expected per-residue accuracy of about 95%. The number of false positives, i.e., transmembrane helices predicted in globular proteins, is about 2%.

Please cite: Burkhard Rost and Chris Sander: Combining evolutionary information and neural networks to predict protein secondary structure. (PubMed) Proteins 19(1):55-72 (1994)
psipred
protein secondary structure prediction
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PSIPRED is a simple and accurate secondary structure prediction method, incorporating two feed-forward neural networks which perform an analysis on output obtained from PSI-BLAST (Position Specific Iterated - BLAST). Using a very stringent cross validation method to evaluate the method's performance, PSIPRED 2.6 achieves an average Q3 score of 80.7%.

Please cite: David T. Jones: Protein secondary structure prediction based on position-specific scoring matrices. (PubMed) Journal of Molecular Biology 292(2):195-202 (1999)
pssh2
set of scripts for mapping protein sequence to structure
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pssh2 creates sequence-to-structure alignments based on hhblits profiles built for the query sequence. pssh2 consists of scripts to run the hhblits queries and parse the output. You also need the pdb_full database downloaded from rostlab.org: ftp://rostlab.org/pssh2/pdb_full/

This package provides the script files needed to run within PredictProtein. They are all called in the correct order in pp_pssh2. It also contains scripts to run independent of PredictProtein. It assumes you have a mysql database to store information. The configuration information is kept in pssh2.conf

pufferfish
Efficient index for the colored, compacted, de Bruijn graph
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Pufferfish is a new time and memory-efficient data structure for indexing a compacted, colored de Bruijn graph (ccdBG).

Though the de Bruijn Graph (dBG) has enjoyed tremendous popularity as an assembly and sequence comparison data structure, it has only relatively recently begun to see use as an index of the reference sequences (e.g. deBGA, kallisto). Particularly, these tools index the compacted dBG (cdBG), in which all non-branching paths are collapsed into individual nodes and labeled with the string they spell out. This data structure is particularly well-suited for representing repetitive reference sequences, since a single contig in the cdBG represents all occurrences of the repeated sequence. The original positions in the reference can be recovered with the help of an auxiliary "contig table" that maps each contig to the reference sequence, position, and orientation where it appears as a substring. The deBGA paper has a nice description how this kind of index looks (they call it a unipath index, because the contigs we index are unitigs in the cdBG), and how all the pieces fit together to be able to resolve the queries we care about. Moreover, the cdBG can be built on multiple reference sequences (transcripts, chromosomes, genomes), where each reference is given a distinct color (or colour, if you're of the British persuasion). The resulting structure, which also encodes the relationships between the cdBGs of the underlying reference sequences, is called the compacted, colored de Bruijn graph (ccdBG). This is not, of course, the only variant of the dBG that has proven useful from an indexing perspective. The (pruned) dBG has also proven useful as a graph upon which to build a path index of arbitrary variation / sequence graphs, which has enabled very interesting and clever indexing schemes like that adopted in GCSA2. Also, thinking about sequence search in terms of the dBG has led to interesting representations for variation-aware sequence search backed by indexes like the vBWT (implemented in the excellent gramtools package).

purple
Picking Unique Relevant Peptides for viraL Experiments
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Emerging virus diseases present a global threat to public health. To detect viral pathogens in time-critical scenarios, accurate and fast diagnostic assays are required. Such assays can now be established using mass spectrometry-based targeted proteomics, by which viral proteins can be rapidly detected from complex samples down to the strain level with high sensitivity and reproducibility. Developing such targeted assays involves tedious steps of peptide candidate selection, peptide synthesis, and assay optimization. Peptide selection requires extensive preprocessing by comparing candidate peptides against a large search space of background proteins. Purple (Picking Unique Relevant Peptides for viraL Experiments) is a software tool for selecting target-specific peptide candidates directly from given proteome sequence data.

Purple enables peptide candidate selection across various taxonomic levels and filtering against backgrounds of varying complexity. Its functionality is demonstrated using data from different virus species and strains. Purple enables building taxon-specific targeted assays and paves the way to time-efficient and robust viral diagnostics using targeted proteomics.

This is the command line version of purple.

Please cite: Johanna Lechner, Felix Hartkopf, Pauline Hiort, Andreas Nitsche Marica Grossegesse, Joerg Doellinger, Bernhard Y. Renard and Thilo Muth: Purple: A Computational Workflow for Strategic Selection of Peptides for Viral Diagnostics Using MS-Based Targeted Proteomics. (PubMed,eprint) Viruses 11(6):536 (2019)
q2-composition
QIIME2 plugin for Compositional statistics
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QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:

  • Integrated and automatic tracking of data provenance
  • Semantic type system
  • Plugin system for extending microbiome analysis functionality
  • Support for multiple types of user interfaces (e.g. API, command line, graphical)

QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline.

QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.

Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-deblur
QIIME2 plugin to wrap the Deblur software for sequence quality control
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QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:

  • Integrated and automatic tracking of data provenance
  • Semantic type system
  • Plugin system for extending microbiome analysis functionality
  • Support for multiple types of user interfaces (e.g. API, command line, graphical)

QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline.

QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.

Please cite: Amnon Amir, Daniel McDonald, Jose A. Navas-Molina, Evguenia Kopylova, James T. Morton, Zhenjiang Zech Xu, Eric P. Kightley, Luke R. Thompson, Embriette R. Hyde, Antonio Gonzalez and Rob Knight: Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns. (PubMed,eprint) mSystems 2 (2017)
q2-diversity
QIIME2 plugin for core diversity analysis
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QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. Functionality is made available through QIIME 2 plugins.

This plugin provides the means to statistically assess the diversity of microbiota. This has direct clinical interest, since with whatever we eat or have antibiotics applied, the survival of different groups of bacteria/yeasts will be affected. From these relative abundances of strains that constribute the microbiome, most prominently, comparisons within a group of samples (or an individual) determines the alpha diversity and between (groups of) samples the beta diversity is inspected.

This package is key to most workflows in qiime.

Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-gneiss
QIIME2 plugin for Compositional Data Analysis and Visualization
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QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:

  • Integrated and automatic tracking of data provenance
  • Semantic type system
  • Plugin system for extending microbiome analysis functionality
  • Support for multiple types of user interfaces (e.g. API, command line, graphical)

QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline.

QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.

Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-longitudinal
QIIME2 plugin for longitudinal studies and paired comparisons
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QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features:

  • Integrated and automatic tracking of data provenance
  • Semantic type system
  • Plugin system for extending microbiome analysis functionality
  • Support for multiple types of user interfaces (e.g. API, command line, graphical)

QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline.

QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed.

Please cite: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, Harriet Alexander, Eric J Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J Brislawn, C Titus Brown, Benjamin J Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily Cope, Ricardo Da Silva, Pieter C Dorrestein, Gavin M Douglas, Daniel M Durall, Claire Duvallet, Christian F Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M Gauglitz, Deanna L Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K Jarmusch, Lingjing Jiang, Benjamin Kaehler, Kyo Bin Kang, Christopher R Keefe, Paul Keim, Scott T Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan GI Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J McIver, Alexey V Melnik, Jessica L Metcalf, Sydney C Morgan, Jamie Morton, Ahmad Turan Naimey, Jose A Navas-Molina, Louis Felix Nothias, Stephanie B Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R Spear, Austin D Swafford, Luke R Thompson, Pedro J Torres, Pauline Trinh, Anupriya Tripathi, Peter J Turnbaugh, Sabah Ul-Hasan, Justin JJ van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C Weber, Chase HD Williamson, Amy D Willis, Zhenjiang Zech Xu, Jesse R Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight and J Gregory Caporaso: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. (eprint) Nature Biotechnology 37 (2019)
q2-vsearch
QIIME 2 plugin for clustering and dereplicating with vsearch
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A QIIME 2 plugin that wraps the vsearch application, and provides methods for clustering and dereplicating features and sequences.

Please cite: Torbjørn Rognes, Tomáš Flouri, Ben Nichols, Christopher Quince and Frédéric Mahé: VSEARCH: a versatile open source tool for metagenomics. PeerJ 4 (2016)
qtlreaper
QTL analysis for expression data
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QTL Reaper is software, written in C and compiled as a Python module, for rapidly scanning microarray expression data for QTLs. It is essentially the batch-oriented version of WebQTL. It requires, as input, expression data from members of a set of recombinant inbred lines and genotype information for the same lines. It searches for an association between each expression trait and all genotypes and evaluates that association by a permutation test. For the permutation test, it performs only as many permutations as are necessary to define the empirical P-value to a reasonable precision. It also performs bootstrap resampling to estimate the confidence region for the location of a putative QTL.

The reaper module is used underneath the http://genenetwork.org site.

qualimap
evaluating next generation sequencing alignment data
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Qualimap 2 provides both a Graphical User Interface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data and its derivatives like feature counts.

Supported types of experiments include:

  • Whole-genome sequencing
  • Whole-exome sequencing
  • RNA-seq (speical mode available)
  • ChIP-seq

Qualimap examines sequencing alignment data in SAM/BAM files according to the features of the mapped reads and provides an overall view of the data that helps to the detect biases in the sequencing and/or mapping of the data and eases decision-making for further analysis.

Qualimap provides multi-sample comparison of alignment and counts data.

  • Fast analysis accross the reference of genome coverage and nucleotide distribution;
  • Easy to interpret summary of the main properties of the alignment data;
  • Analysis of the reads mapped inside/outside of the regions provided in GFF format;
  • Computation and analysis of read counts obtained from intersectition of read alignments with genomic features;
  • Analysis of the adequasy of the sequencing depth in RNA-seq experiments;
  • Multi-sample comparison of alignment and counts data;
  • Clustering of epigenomic profiles.
Please cite: Fernando García-Alcalde, Konstantin Okonechnikov, José Carbonell, Luis M. Cruz, Stefan Götz, Sonia Tarazona, Joaquín Dopazo, Thomas F. Meyer and Ana Conesa: Qualimap: evaluating next-generation sequencing alignment data. (PubMed,eprint) Bioinformatics 28(20):2678-2679 (2012)
Registry entries: Bio.tools  SciCrunch  Bioconda 
quast
Quality Assessment Tool for Genome Assemblies
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QUAST evaluates genome assemblies. For metagenomes, please see MetaQUAST project. It works both with and without a given reference genome. The tool accepts multiple assemblies, thus it allows for comparisons.

Please cite: Alla Mikheenko, Andrey Prjibelski, Vladislav Saveliev, Dmitry Antipov and Alexey Gurevich: Versatile genome assembly evaluation with QUAST-LG. Bioinformatics 34(13):i142-i150 (2018)
Registry entries: Bio.tools  Bioconda 
r-bioc-org.mm.eg.db
genome wide annotation for Mouse
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Genome wide annotation for Mouse, primarily based on mapping using Entrez Gene identifiers.

r-cran-drinsight
drug repurposing on transcriptome sequencing data
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The package's name is an acronym for "Drug Repurposing Integration and Systematic Investigation of Genomic High Throughput Data", which pretty much describes it: This is a connectivity mapping-based drug repurposing tool that identifies drugs that can potentially reverse query disease phenotype or have similar functions with query drugs.

Please cite: Jinyan Chan, Xuan Wang, Jacob A Turner, Nicole E Baldwin and Jinghua Gu: Breaking the paradigm: Dr Insight empowers signature-free, enhanced drug repurposing. (PubMed,eprint) Bioinformatics 35(16):2818–2826 (2019)
r-other-apmswapp
GNU R Pre- and Postprocessing For Affinity Purification Mass Spectrometry
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The reliable detection of protein-protein-interactions by affinity purification mass spectrometry (AP-MS) is a crucial stepping stone for the understanding of biological processes. The main challenge in a typical AP-MS experiment is to separate true interaction proteins from contaminants by contrasting counts of proteins binding to specific baits with counts of negative controls.

Please cite: Martina Fischer, Susann Zilkenat, Roman G. Gerlach, Samuel Wagner and Bernhard Y. Renard: Pre- and post-processing workflow for affinity purification mass spectrometry data. (PubMed) Journal of Proteome Research 13(5):2239-49 (2014)
r-other-fastbaps
A fast genetic clustering algorithm that approximates a Dirichlet Process Mixture model
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Takes a multiple sequence alignment as input and clusters according to the 'no-admixture' model. It combines ideas from the Bayesian Hierarchical Clustering algorithm of Heller et al. and hierBAPS to produce a rapid and accurate clustering algorithm.

Please cite: Gerry Tonkin-Hill, John A Lees, Stephen D Bentley, Simon D W Frost and Jukka Corander: Fast hierarchical Bayesian analysis of population structure. (PubMed,eprint) Nucleic Acids Research 47(11):5539–5549 (2019)
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raxml-ng
phylogenetic tree inference tool which uses maximum-likelihood
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RAxML Next Generation: faster, easier-to-use and more flexible

RAxML-NG is a phylogenetic tree inference tool which uses maximum-likelihood (ML) optimality criterion. Its search heuristic is based on iteratively performing a series of Subtree Pruning and Regrafting (SPR) moves, which allows to quickly navigate to the best-known ML tree. RAxML-NG is a successor of RAxML (Stamatakis 2014) and leverages the highly optimized likelihood computation implemented in libpll (Flouri et al. 2014).

RAxML-NG offers improvements in speed, flexibility and user-friendliness over the previous RAxML versions. It also implements some of the features previously available in ExaML (Kozlov et al. 2015), including checkpointing and efficient load balancing for partitioned alignments.

repeatmasker
screen DNA sequences for interspersed repeats
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RepeatMasker is a program that screens DNA sequences for interspersed repeats and low complexity DNA sequences. The output of the program is a detailed annotation of the repeats that are present in the query sequence as well as a modified version of the query sequence in which all the annotated repeats have been masked (default: replaced by Ns). Sequence comparisons in RepeatMasker are performed by the program cross_match, an efficient implementation of the Smith-Waterman-Gotoh algorithm developed by Phil Green, or by WU-Blast developed by Warren Gish.

Please cite: Sébastien Tempel: Using and Understanding RepeatMasker. (PubMed) Methods Mol. Biol. 859:29-51 (2012)
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roadtrips
case-control association testing with unknown population and pedigree structure
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ROADTRIPS performs single-SNP, case-control association testing in samples with partially or completely unknown population and pedigree structure. ROADTRIPS uses an empirical covariance matrix calculated from genomewide SNP data to correct for unknown population and pedigree structure, while maintaining high power by taking advantage of known pedigree information when it is available. The program is applicable to association studies with completely general combinations of related and unrelated individuals. Analysis can be performed genomewide (currently just for autosomes).

ROADTRIPS is suitable for applications such as:

  • correcting for possible population structure and/or misspecified relationships in the context of case-control association testing in samples of unrelated individuals and/or related individuals with well- characterized pedigrees
  • case-control association testing in samples from isolated populations for which pedigree information is limited or unavailable
Please cite: Timothy Thornton and Mary Sara McPeek: ROADTRIPS: Case-Control Association Testing with Partially or Completely Unknown Population and Pedigree Structure. (PubMed) American Journal of Human Genetics 86(2):172–184 (2010)
rosa
Removal of Spurious Antisense in biological RNA sequences
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In stranded RNA-Seq experiments it is possible to detect and measure antisense transcription, important since antisense transcripts impact gene transcription in several different ways. Stranded RNA-Seq determines the strand from which an RNA fragment originates, and so can be used to identify where antisense transcription may be implicated in gene regulation.

However, spurious antisense reads are often present in experiments, and can manifest at levels greater than 1% of sense transcript levels. This is enough to disrupt analyses by causing false antisense counts to dominate the set of genes with high antisense transcription levels.

The RoSA (Removal of Spurious Antisense) tool detects the presence of high levels of spurious antisense transcripts, by:

  • analysing ERCC spike-in data to find the ratio of antisense:sense transcripts in the spike-ins; or
  • using antisense and sense counts around splice sites to provide a set of gene-specific estimates; or
  • both.

Once RoSA has an estimate of the spurious antisense, expressed as a ratio of antisense:sense counts, RoSA will calculate a correction to the antisense counts based on the ratio. Where a gene-specific estimate is available for a gene, it will be used in preference to the global estimate obtained from either spike-ins or spliced reads.

This package provides the library for the statistics suite R.

rsat
Regulatory Sequence Analysis Tools
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RSAT is a series of modular computer programs specifically designed for the detection of regulatory signals in non-coding sequences.

RSAT servers have been up and running since 1997. The project was initiated by Jacques van Helden, and is now pursued by the RSAT team.

Please cite: Alejandra Medina-Rivera, Matthieu Defrance, Olivier Sand, Carl Herrmann, Jaime A. Castro-Mondrago, Jeremy Delerce, Sébastien Jaeger, Christophe Blanchet, Pierre Vincens, Christophe Caron, Daniel M. Staines, Bruno Contreras-Moreira, Marie Artufel, Lucie Charbonnier-Khamvongsa, Céline Hernandez, Denis Thieffry, Morgane Thomas-Chollier and Jacques van Helden: RSAT 2015: Regulatory Sequence Analysis Tools. (PubMed,eprint) Nucleic Acids Res. 43(W1):W50-W56 (2015)
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sailfish
RNA-seq expression estimation
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RNA-seq is a technology to read at least parts of individual RNA sequences of a tissue sample. After assigning these reads to genes that are likely responsible to have coded for them (mapping), this gives an insight (estimate) about how much these genes have been active (expressed) in that sample. The trickier bits in that process to address is the similarity of genes and the genes being capable to variably but deterministically skip parts of their sequence to be read (introns). A single variantly spliced gene may then yield different sequences (isoforms) and the RNA-seq evaluation better informs about this. It may be relevant for a disease.

Sailfish is particularly good (efficient) in this process. It tricks the complexity by introducing an intermediate level of artificial very short reads to which the alternative splicing is of no concern. That can then be addressed by "telephone-book"-like hashing techniques that are easy and lightning fast. The final presentation is then found to be competitive with established mappers like eXpress and Cufflinks.

Please cite: Rob Patro, Stephen M Mount and Carl Kingsford: Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms. (PubMed) Nature Biotechnology 32(5):462-464 (2014)
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sap
Pairwise protein structure alignment via double dynamic programming
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In contrast to DNA, proteins exhibit an apparently unlimited variety of structure. This is a necessary requirement of the vast array of differing functions that they perform in the maintainance of life, again, in contrast to the relatively static archival function of DNA. Not only do we observe a bewildering variety of form but even within a common structure, there is variation in the lengths and orientation substructures. Such variation is both a reflection on the very long time periods over which some structures have diverged and also a consequence of the fact that proteins cannot be completely rigid bodies but must have flexibility to accommodate the structural changes that are almost always necessary for them to perform their functions. These aspects make comparing structure and finding structural similarity over long divergence times very difficult. Indeed, computationally, the problem of recognizing similarity is one of three-dimensional pattern recognition, which is a notoriously difficult problem for computers to perform. In this chapter, guidance is provided on the use of a flexible structure comparison method that overcomes many of the problems of comparing protein structures that may exhibit only weak similarity.

Please cite: William R. Taylor: Protein Structure Comparison Using SAP. (PubMed) 143:19-32 (2000)
Remark of Debian Med team: Precondition for T-Coffee

see http://wiki.debian.org/DebianMed/TCoffee

seq-seq-pan
workflow for the SEQuential alignment of SEQuences
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Seq-seq-pan is a framework that provides methods for adding or removing new genomes from a set of aligned genomes and uses these to construct a whole genome alignment. Throughout the sequential workflow the alignment is optimized for generating a representative linear presentation of the aligned set of genomes, that enables its usage for annotation and in downstream analyses.

Please cite: Christine Jandrasits, Piotr W. Dabrowski, Stephan Fuchs and Bernhard Y. Renard: seq-seq-pan: building a computational pan-genome data structure on whole genome alignment. (PubMed,eprint) BMC Genomics 19(1):47 (2018)
Remark of Debian Med team: Needs blat which is not re-distributable
seqwish
alignment to variation graph inducer
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Seqwish implements a lossless conversion from pairwise alignments between sequences to a variation graph encoding the sequences and their alignments. As input we typically take all-versus-all alignments, but the exact structure of the alignment set may be defined in an application specific way. This algorithm uses a series of disk-backed sorts and passes over the alignment and sequence inputs to allow the graph to be constructed from very large inputs that are commonly encountered when working with large numbers of noisy input sequences. Memory usage during construction and traversal is limited by the use of sorted disk-backed arrays and succinct rank/select dictionaries to record a queryable version of the graph.

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signalalign
HMM-HDP models for MinION signal alignments
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MinION signal-level alignment and methylation detection using hidden Markov Models with hierarchical Dirichlet process kmer learning.

Nanopore sequencing is based on the principal of isolating a nanopore in a membrane separating buffered salt solutions, then applying a voltage across the membrane and monitoring the ionic current through the nanopore. The Oxford Nanopore Technologies (ONT) MinION sequences DNA by recording the ionic current as DNA strands are enzymatically guided through the nanopore. SignalAlign will align the ionic current from the MinION to a reference sequence using a trainable hidden Markov model (HMM). The emissions model for the HMM can either be the table of parametric normal distributions provided by ONT or a hierarchical Dirichlet process (HDP) mixture of normal distributions. The HDP models enable mapping of methylated bases to your reference sequence.

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sina
reference based multiple sequence alignment
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SINA is a tool to add sequences to an existing multiple sequence alignment. It needs about 1 second on a single core to add one 16S full length sequence (about 100k/h on a 32-core workstation). It was developed to create the multi-million sequence alignment that is the core of the SILVA SSU and LSU rRNA databases.

Please cite: Elmar Pruesse, Jörg Peplies and Frank Oliver Glöckner: SINA: Accurate high-throughput multiple sequence alignment of ribosomal RNA genes. (PubMed,eprint) Bioinformatics 28(14):1823–1829 (2012)
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sistr
Salmonella In Silico Typing Resource (SISTR)
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The Salmonella In Silico Typing Resource (SISTR) commandline tool allows serovar predictions from whole-genome sequence assemblies by determination of antigen gene and cgMLST gene alleles using BLAST. Mash MinHash can also be used for serovar prediction.

Please cite: Catherine E. Yoshida, Peter Kruczkiewicz, Chad R. Laing, Erika J. Lingohr, Victor P. J. Gannon, John H. E. Nash and Eduardo N. Taboada: The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies. (PubMed,eprint) PLoS One 11(1):e0147101 (2016)
situs
Modeling of atomic resolution structures into low-resolution density maps
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Situs is an award-winning program package for the modeling of atomic resolution structures into low-resolution density maps e.g. from electron microscopy, tomography, or small angle X-ray scattering. The software supports both rigid-body and flexible docking using a variety of fitting strategies. Situs is developed by Willy Wriggers and collaborators: biomachina.org.

sparta
automated reference-based bacterial RNA-seq Transcriptome Analysis
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SPARTA is a workflow aimed at analyzing single-end Illumina RNA-seq data. The workflow combines several tools: Trimmomatic (read trimming/adapter removal), FastQC (read quality analysis), Bowtie (mapping reads to the reference genome), HTSeq (transcript/gene feature abundance counting), and edgeR (differential gene expression analysis). Within the differential gene expression analysis step, batch effects can be detected and the user is warned of the potential, unintended additional variable. The analysis procedure is outlined below.

Please cite: Benjamin K. Johnson, Matthew B. Scholz, Tracy K. Teal and Robert B. Abramovitch: SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis. (PubMed,eprint) BMC Bioinformatics 17:66 (2016)
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ssaha
Sequence Search and Alignment by Hashing Algorithm
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SSAHA is a software tool for very fast matching and alignment of DNA sequences. It achieves its fast search speed by converting sequence information into a `hash table' data structure, which can then be searched very rapidly for matches.

SSAHA is the only free software of its category (fast search of nearly indentical sequences). The popular alternative, BLAT, is restricted to non-commercial use.

Please cite: Zemin Ning, Anthony J. Cox and James C. Mullikin: SSAHA: A Fast Search Method for Large DNA Databases. (PubMed,eprint) Genome Research 11(10):1725–1729 (2001)
Remark of Debian Med team: Successor for ssaha2 available: smalt

The program smalt is from the same author is according to its author faster and more precise than ssaha2 (except for sequences > 2000bp)

strap
Comfortable and intuitive protein alignment editor / viewer
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Strap is started from the menu "Science" in the "Applications" menu or with the shell command strap_protein_alignment. Alignments can be manually edited or computed automatically using sequence and/or structure based methods. Information can be attached to proteins and residue selections such as free text notes, balloon messages, cross-references as well as 3D and PDF display styles. Alignments can be exported in several formats: Multiple-Fasta, ClustalW, MSF, HSSP, Jalview. Decorated alignments with residue annotations and secondary structure cartoons can be exported to PDF, HTML and Word-processors to create figures in publication quality - see http://3d-alignment.eu/ for details. Strap is an integrated environment for Bioinformatics tools and resources like DAS sequence features, 3D-visualization, structure prediction and Blast search. It is scriptable and extendable and can be used by other programs to display sequence alignments and 3D-superpositions.

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strap-base
essential files for the interactive alignment viewer and editor Strap
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Most users should install the package strap which in addition installs required Debian packages for alignment computation and 3D visualization. Strap-base provides utilities for protein and alignment file format conversion: strap_to_clustal, strap_to_msf, strap_to_fasta, strap_to_multiple_fasta. It also provides interactive alignment visualization and HTML export for other bioinformatics software. The command strap_base with the option

 -script=file or -script=named_pipe opens a new interactive alignment
view. Named pipes are the basis for interprocess communication. The

command strap_to_html is a command line tool to produce decorated and annotated alignments suitable for web-browsers with script commands as explained in http://www.bioinformatics.org/strap/alignment-to-html.html.

strelka
strelka2 germline and somatic small variant caller
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Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs. The germline caller employs an efficient tiered haplotype model to improve accuracy and provide read-backed phasing, adaptively selecting between assembly and a faster alignment- based haplotyping approach at each variant locus. The germline caller also analyzes input sequencing data using a mixture-model indel error estimation method to improve robustness to indel noise. The somatic calling model improves on the original Strelka method for liquid and late- stage tumor analysis by accounting for possible tumor cell contamination in the normal sample. A final empirical variant re-scoring step using random forest models trained on various call quality features has been added to both callers to further improve precision.

Please cite: Sangtae Kim, Konrad Scheffler, Aaron L. Halpern, Mitchell A. Bekritsky, Eunho Noh, Morten Källberg, Xiaoyu Chen, Yeonbin Kim, Doruk Beyter, Peter Krusche and Christopher T. Saunders: Strelka2: fast and accurate calling of germline and somatic variants. (PubMed) Nature Methods 15(8):591–594 (2018)
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tab2mage
submitting large microarray experiment datasets to public repository database
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Tab2MAGE is a software package written and supported by the ArrayExpress curation team, which aims to ease the process of submitting large microarray experiment datasets to our public repository database. To this end, Tab2MAGE currently includes two tools, the tab2mage.pl script itself, and a data file checking script, expt_check.pl. With these scripts it is possible to perform an initial data file validation against an array design (e.g., in the form of an "Array Description File" or ADF), and then to generate MAGE-ML using these data files alongside a separate spreadsheet providing MIAME-compliant sample annotation.

tacg
command line program for finding patterns in nucleic acids
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tacg is a character-based, command line tool for unix-like operating systems for pattern-matching in nucleic acids and performing some of the basic protein manipulations. It was originally designed for restriction enzyme analysis of DNA, but has been extended to other types of matching. It now handles degenerate sequence input in a variety of matching approaches, as well as patterns with errors, regular expressions and TRANSFAC-formatted matrices.

It was designed to be a grep for DNA and like the original grep, its capabilities have grown so that now the author has to keep calling up the help page to figure out which flags (now ~50) mean what. tacg is NOT a GUI application in any sense. However, it's existance as a strictly command-line tool lends itself well to Webification and wrapping by various GUI tools and it is now distributed with a web interface form and a Perl CGI handler. Additionally, it can easily be integrated into editors that support shell commands such as nedit.

Please cite: Harry J Mangalam: tacg - a grep for DNA. (PubMed,eprint) BMC Bioinformatics 3:8 (2002)
tandem-genotypes
compare lengths of duplications in DNA sequences
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Only a fraction of the DNA in the human genome (and that of other species that are not optimised for the speed of their replication like viruses) are coding for genes. Other parts may be binding to transcription factors or direct the expression of genes in other ways - these other bits may not be fully understood, and parts may indeed be "junk", but this is only until user finds a clinical feature to be statistically associated with something statistically noteworthy in the DNA sequences.

Features that somehow seem informative when looking at the DNA are whatever does not look like random. This tool looks at a special case of repeats - short regions that are duplicated, i.e. they appear as a tandem. When these repeats are longer, then these would be referred as microsatellites.

When interested in structural variations, within a family/population or to compare cancer tissue with benign samples, you may also want to look at these repeats. This software determines the lengths (and changes to the lengths) across samples and knows how to present this graphically.

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tide
SEQUEST Searching for Peptide Identification from Tandem Mass Spectra
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Tide implements the SEQUEST algorithm for peptide identification and that achieves a dramatic speedup over Crux and SEQUEST. The optimization strategies detailed here employ a combination of algorithmic and software engineering techniques to achieve speeds up to 170 times faster than a recent version of SEQUEST that uses indexing. For example, on a single Xeon CPU, Tide searches 10,000 spectra against a tryptic database of 27,499 C.\ elegans proteins at a rate of 1,550 spectra per second, which compares favorably with a rate of 8.8 spectra per second for a recent version of SEQUEST with index running on the same hardware.

Please cite: Benjamin J. Diament and William Stafford Noble: Faster SEQUEST Searching for Peptide Identification from Tandem Mass Spectra. (PubMed) Journal of Proteome Research 10(9):3871–3879 (2011)
tigr-glimmer-mg
finding genes in environmental shotgun DNA sequences
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Glimmer-MG is a system for finding genes in environmental shotgun DNA sequences. Glimmer-MG (Gene Locator and Interpolated Markov ModelER - MetaGenomics) uses interpolated Markov models (IMMs) to identify the coding regions and distinguish them from noncoding DNA.

Please cite: David R. Kelley, Bo Liu, Arthur L. Delcher, Mihai Pop and Steven L. Salzberg: Gene prediction with Glimmer for metagenomic sequences augmented by classification and clustering. (PubMed) Nucleic Acids Research 40(1):e9 (2012)
tn-seqexplorer
explore and analyze Tn-seq data for prokaryotic genomes
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Tn-seq Explorer allows users to explore and analyze Tn-seq data for prokaryotic (bacterial or archaeal) genomes. It implements two alternative methods for identification of essential genes and provides additional tools to investigate the Tn-seq data. The primary goal of the data analysis is to study fitness by identifying genes that are essentia

Please cite: Sina Solaimanpour, Felipe Sarmiento and Jan Mrázek: Tn-Seq Explorer: A Tool for Analysis of High-Throughput Sequencing Data of Transposon Mutant Libraries. (PubMed,eprint) PLoS ONE 10(5):e0126070 (2015)
tophat
fast splice junction mapper for RNA-Seq reads
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TopHat aligns RNA-Seq reads to mammalian-sized genomes using the ultra high-throughput short read aligner Bowtie, and then analyzes the mapping results to identify splice junctions between exons. TopHat is a collaborative effort between the University of Maryland Center for Bioinformatics and Computational Biology and the University of California, Berkeley Departments of Mathematics and Molecular and Cell Biology.

Please cite: Cole Trapnell, Lior Pachter and Steven L. Salzberg: TopHat: discovering splice junctions with RNA-Seq. (PubMed,eprint) Bioinformatics 25(9):1105-1111 (2009)
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ufasta
utility to manipulate fasta files
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Description of ufasta subcommands:

  • one: remove the new lines in the data section. Hence, all the sequences are written on one line. In some sense, it is the opposite of the format subcommand.
  • format: reformat the data sections. The data is written in lines of the same length, it can changes the content in upper/lower case.
  • sizes: print the amount of sequence in each section
  • head: like UNIX head. Display the first 10 sequences
  • tail: like UNIX tail. Display the last 10 sequences
  • rc: reverse complement every sequence
  • n50, stats: display stats about the sequences: N50, E size, total size, etc.
  • extract: extract a sequence whose header match given names
  • hsort, sort: sort file based on header content
  • dsort: sort the data sections
  • hgreap: output sequences whose header match the regular expression
  • dgresp: output sequences whose sequence match the regular expression
  • split: split a fasta file into many files
umap
quantify genome and methylome mappability
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Umap identifies uniquely mappable regions of any genome. Its Bismap extension identifies mappability of the bisulfite converted genome (methylome).

Please cite: Mehran Karimzadeh, Carl Ernst, Anshul Kundaje and Michael M. Hoffman: Umap and Bismap: quantifying genome and methylome mappability. (PubMed,eprint) Nucleic Acids Res. 46(20):e120 (2018)
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unc-fish
Fast Identification of Segmental Homology
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FISH is software for identifying regions of common ancestry between genome maps. Fast identification and statistical evaluation of segmental homologies in comparative maps.

Development and maintenance of FISH is supported by funding from the National Science Foundation (Plant Genome Research Program Grants DBI-0110069 and DBI-0227314 to TJV and DMS-0102008 to PPC).

Please cite: Peter P. Calabrese, Sugata Chakravarty and Todd J. Vision: Fast identification and statistical evaluation of segmental homologies in comparative maps. (PubMed,eprint) Bioinformatics 19(Suppl 1):i74-i80 (2003)
varmatch
robust matching of small genomic variant datasets
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Version: 0+git20180126.5c6fed5+dfsg-1

Small variant calling is an important component of many analyses, and, in many instances, it is important to determine the set of variants which appear in multiple callsets. Variant matching is complicated by variants that have multiple equivalent representations. Normalization and decomposition algorithms have been proposed, but are not robust to different representation of complex variants. The VarMatch algorithm is robust to different representation of complex variants and is particularly effective in low complexity regions or those dense in variants. VarMatch also provides summary statistics, annotations, and visualizations that are useful for understanding callers' performance.

Please cite: Chen Sun and Paul Medvedev: VarMatch: robust matching of small variant datasets using flexible scoring schemes. (PubMed) Bioinformatics 33(9):1301-1308 (2017)
viewmol
graphical front end for computational chemistry programs
Responsible: Debichem Team (Drew Parsons)
Versions of package viewmol
ReleaseVersionArchitectures
VCS2.4.1-26all
Versions and Archs
License: GPL-2.0+
Debian package not available
Git
Version: 2.4.1-26

Viewmol is able to graphically aid in the generation of molecular structures for computations and to visualize their results.

At present Viewmol includes input filters for Discover, DMol3, Gamess, Gaussian 9x/03, Gulp, Mopac, PQS, Turbomole, and Vamp outputs as well as for PDB files. Structures can be saved as Accelrys' car-files, MDL files, and Turbomole coordinate files. Viewmol can generate input files for Gaussian 9x/03. Viewmol's file format has been added to OpenBabel so that OpenBabel can serve as an input as well as an output filter for coordinates.

Registry entries: SciCrunch 
vmd
presentation of traces of molecular dynamics runs
Versions of package vmd
ReleaseVersionArchitectures
VCS1.9.1-3all
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License: University_of_Illinois_non-free
Debian package not available
Git
Version: 1.9.1-3

VMD stands for Visual Molecular Dynamics. While text books and even structure databases because of technical problems only present static pictures of proteins or DNA, for the understanding of the properties of those molecules their vibration or their movement in general is important.

The movements itself are calculated by molecular dynamics programs, such as NAMD (by the same group), Rosetta, BALLView or GROMACS. The latter two are already in the distribution, we have package build instructions for Rosetta.

VMD has a series of nice features, from displaying through animation to analysing. It can be scripted, clustered, and runs on all common OS. Its license does not allow to redistribute a Debian package. But to share these build instructions for such a package is just fine.

Please cite: W. Humphrey, A. Dalke and K. Schulten: VMD: visual molecular dynamics. (PubMed,eprint) Journal of Molecular Graphics 14(1):33-38 (1996)
zodiac-zeden
ZODIAC - Zeden's Organise DIsplay And Compute
Versions of package zodiac-zeden
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VCS0.6.5-1all
Versions and Archs
License: GPL-3.0+
Debian package not available
Git
Version: 0.6.5-1

Zodiac is a molecular modelling suite for computation, analysis and display of molecular data. It features state-of-the-art tools for managing molecular databases, run molecular docking experiments, compute raytraced images and much more.

Unofficial packages built by somebody else

big-blast
Helper tool to run blast on large sequences
License: not specified

This script will chop up a large sequence, run blast on each bit and then write out an EMBL feature table and a MSPcrunch -d file containing the hits.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
estferret
processes, clusters and annotates EST data
License: to be clarified

ESTFerret processes, clusters and annotates EST data. It is user-configurable. Results are currently stored in a series of text tables. Annotation consists of searches against use r-defined blast databases, prosite, GO and allocation of EC numbers where possible.

EST-ferret is a user-configurable, automated pipeline for the convenient analysis of EST sequence data that includes all of the necessary steps for cleanup and trimming, submission to external sequence repositories, clustering, identification by BLAST homology searches and by searches of protein domain databases, annotation with computer-addressable terms and production of outputs for direct entry into microarray analysis packages. It is composed of several widely used, open-source algorithms, including PHRED, CAP3, BLAST, and a range of sequence and annotation databases, including Gene Ontology and Conserved Domain Database to deliver a putative identity and a detailed annotation of each clone. It can be run either step-by-step to track the outputs, or as a single batch process. Users can easily edit the configuration file to define parameter settings.

This package has five major components: (1) ESTs coding system; (2) sequence processing; (3) sequence clustering; (4) sequence annotating and (5) storage and reporting of results. DNA trace files are renamed and converted into FASTA format, cleaned and submitted to dbEST(Boguski, et al, 1993). Sequence assembly uses two rounds of CAP3 to assemble the ESTs into groups corresponding to separate gene families and unique genes. Sequence identification and annotation is provided by a series of BLAST homology searches (Parallel_BLAST and Priority_BLAST) against user-defined sequence databases implemented with the NCBI BLASTALL algorithm. The BLAST results are parsed and annotation terms that reflect functional attributes are captured from Gene Ontology (The Gene Ontology Consortium, 2000), KEGG and Enzyme Commission (EC) databases and applied to each of the clones. CDD (and InterPro) searches are performed for seeking protein domains in the sequences. Other options are provided to run PatSearch, RepeatMasker and BLAT to find UTRs, repeats and EST candidates in genomes. Finally, the package generates analysis reports in a variety of flat file formats, sources of which can be serve as inputs for some gene annotation and gene expression profiling tools, and also as a MySQL database or web-browsable search tool.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
maxd
data warehouse and visualisation environment for genomic expression data
License: Artistic

Maxd is a data warehouse and visualisation environment for genomic expression data. It is being developed in the University of Manchester by the Microarray Bioinformatics Group.

Software components:

 maxdLoad2 - standards-compliant, highly customisable transcriptomics
             database
 maxdView  - modular and easily extensible data visualisation and
             analysis environment
 maxdSetup - installation management utility
Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
migrate
estimation of population sizes and gene flow using the coalescent
License: to be clarified

Migrate estimates effective population sizes and past migration rates between n population assuming a migration matrix model with asymmetric migration rates and different subpopulation sizes. Migrate uses maximum likelihood or Bayesian inference to jointly estimate all parameters. It can use the followind data types: sequence data using Felsenstein's 84 model with or without site rate variation, single nucleotide polymorphism data, microsatellite data using a stepwise mutation model or a brownian motion mutation model, and electrophoretic data using an 'infinite' allele model. The output can contain: Estimates of all migration rates and all population sizes, assuming constant mutation rates among loci or a gamma distributed mutation rate among loci. Profile likelihood tables, Percentiles, Likelihood-ratio tests, and simple plots of the log-likelihood surfaces for all populations and all loci.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
msatfinder
identification and characterization of microsatellites in a comparative genomic context
License: GPL

Msatfinder is a Perl script designed to allow the identification and characterization of microsatellites in a comparative genomic context. There is also an online manual, a discussion forum and an online interface where users can do searches in any number of DNA or protein sequences (as long as the maximum size of all sequences does not exceed 10MB). Nucleotide and amino acid sequences in GenBank, FASTA, EMBL and Swissprot formats are supported.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
oligoarrayaux
Prediction of Melting Profiles for Nucleic Acids
License: non-free (fre academical use)

OligoArrayAux is a subset of the UNAFold package for use with OligoArray (http://berry.engin.umich.edu/oligoarray2_1/). OligoArray is a free software that computes gene specific oligonucleotides for genome-scale oligonucleotide microarray construction. (It is not really specified what they mean with "free software". You can download the source code after registration: "registration is the only way for me to keep trace of OligoArray users and be able to send you a bug fix or a new release".)

The original UNAFold server is available at http://dinamelt.bioinfo.rpi.edu/download.php and you should probably read http://dinamelt.bioinfo.rpi.edu/ if you want to know more about "Prediction of Melting Profiles for Nucleic Acids".

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html

Finally it is hard to find some documentation what OligoArrayAux is really doing because it is only specified into relation to OligoArray (as precondition) and UNAFold (as subset of this) but BioLinux distribution http://envgen.nox.ac.uk/biolinux.html decided to package this and so it might make soem sense to list it here - further investigation is needed.

partigene
generating partial gemomes
License: GPL

PartiGene is part of the Edinburgh-EGTDC developed EST-software pipeline at the moment consisting of trace2dbEST, PartiGene, wwwPartiGene, port4EST and annot8r. PartiGene is a menu-driven, multi-step software tool which takes sequences (usually ESTs) and creates a dataabase of a non-redundant set of sequence objects (putative genes) which we term a partial genome.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
pfaat
Protein Family Alignment Annotation Tool
Responsible: BioLinux - Dan Swan
License: GPL

Pfaat is a Java application that allows one to edit, analyze, and annotate multiple sequence alignments. The annotation features are a key component as they provide a framework to for further sequence, structure and statistical analysis.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
prot4est
EST protein translation suite
License: GPL

prot4EST is a perl script that takes expressed sequence tags (ESTs) and translates them optimally to produce putative peptides. prot4EST intergrates a number of programs to overcome problems inherent with translating ESTs.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
python3-orange
Data mining framework
Responsible: Mitar
License: GPLv3

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for Python programming language.

qtlcart
map quantitative traits using a map of molecular markers
Responsible: BioLinux - Dan Swan
License: GPL

QTL Cartographer is a suite of programs to map quantitative traits using a map of molecular markers. It contains a set of programs that will aid in locating the genes that control quantitative traits using a molecular map of markers. It includes some programs to allow simulation studies of experiments.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
rbs-finder
find ribosome binding sites(RBS)
License: not specified

The program implements an algorithm to find ribosome binding sites(RBS) in the upstream regions of the genes annotated by Glimmer2, GeneMark, or other prokaryotic gene finders. If there is no RBS-like patterns in this region, program searches for a start codon having a RBS-like pattern ,in the same reading frame upstream or downstream and relocates start codon accordingly.

You can find more detailed information at http://nbc11.biologie.uni-kl.de/docbook/doc_userguide_bioinformatics_server/chunk/ch01s06.html

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
roche454ace2caf
convert GS20 or FLX assemblies into CAF format
License: not specified

Some tools to convert GS20 or FLX assemblies (454Contigs.ace) into CAF format so that these are correct viewable/editable/... whithin the staden package (gap4). You have then access to "hidden data", exact aligned trace and there positions, base values etc and whith staden-1-7-0 you have graphical access to the associated flowgramm traces (SFF format).

Description, Goals - please take a look at http://genome.imb-jena.de/software/roche454ace2caf/Poster_UserMeeting_GS20_Munich_070328.pdf

Remark of Debian Med team: The BioLinux distribution http://envgen.nox.ac.uk/biolinux.html

maintains a package called bio-linux-assembly-conversion-tools which contains caftools and roche2gap in one package with the following description:

Conversion tools for handling 454 assemblies.

This package contains code from different authors that allow sequence assemblies to be converted into formats such as CAF (Common Assembly Format) or GAP4. This package includes tools to convert assemblies from Newbler's ace format for loading into a gap4 assembly.

splitstree
Analyzing and Visualizing Evolutionary Data
License: to be clarified

Evolutionary data is most often presented as a phylogentic tree, the underlying assumption being that evolution is a branching process. However, real data is never ideal and thus doesn't always support a unique tree, but often supports more than one possible tree. Hence, it makes sense to consider tree reconstruction methods that produce a tree, if the given data heavily favors one tree over all others, but otherwise produces a more general graph that indicates different possible phylogenies. One such method is the Split Decomposition introduced by Hans-Juergen Bandelt and Andreas Dress (1992) and its variations. Another example is Spectral Analysis developed by Hendy, Penny and others.

These and other methods are implemented in the program SplitsTree, that I wrote with contributions from Dave Bryant, Mike Hendy, Holger Paschke, Dave Penny and Udo Toenges. It is based on the Nexus format.

Note: There is a new version 4.0 written from scratch at http://www.splitstree.org/ which requires a license key - so this is probably non-free. Version 3.2 which is linked above has some downloadable source code without any license or copyright statement - so it has to be clarified whether we are able to distribute this code or not.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
taverna
designing and executing myGrid workflows for bioinformatics
License: LGPL

The Taverna workbench is a free software tool for designing and executing workflows, created by the myGrid project, and funded through OMII-UK. Taverna allows users to integrate many different software tools, including web services, such as those provided by the National Center for Biotechnology Information, The European Bioinformatics Institute, the DNA Databank of Japan (DDBJ), SoapLab, BioMOBY and EMBOSS.

The Taverna Workbench provides a desktop authoring environment and enactment engine for scientific workflows expressed in Scufl (Simple Conceptual Unified Flow language). The Taverna enactment engine is also available separately, and other Scufl enactors are available including Moteur. The myExperiment social web site supports finding and sharing of workflows and has special support for Scufl workflows. The Taverna workbench, myExperiment and associated components are developed and maintained by the myGrid team, in collaboration with the open source community.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
taxinspector
browser for entries in the NCBI taxonomy
Responsible: BioLinux - Tim Booth
License: Artistic + other free licenses

TaxInspector is a browser for entries in the NCBI taxonomy. It is designed to run as a plugin to annotation software such as maxdLoad2 and Pedro, but also has a standalone mode.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html
tetra
tetranucleotide frequency calculator
License: free academic

The TETRA program can be used to calculate how well tetranucleotide usage patterns in DNA sequences correlate. Such correlations can provide valuable hints on the relatedne ss of DNA sequences, and are particularly useful for metagenomic sequences.

Remark of Debian Med team: This package ships with BioLinux http://envgen.nox.ac.uk/biolinux.html

No known packages available but some record of interest (WNPP bug)

btk-core - wnpp
biomolecule Toolkit C++ library
Responsible: Morten Kjeldgaard
License: GPL
Debian package not available

The Biomolecule Toolkit is a library for modeling biological macromolecules such as proteins, DNA and RNA. It provides a C++ interface for common tasks in structural biology to facilitate the development of molecular modeling, design and analysis tools.

mirbase - wnpp
The microRNA sequence database
Responsible: Charles Plessy
License: Public Domain
Debian package not available

The miRBase Sequence Database provides a searchable repository for published microRNA sequences and associated annotation, functionality previously provided by the microRNA Registry. miRBase also contains predicted miRNA target genes in miRBase Targets, and provides a gene naming and nomenclature function in the miRBase Registry.

Release 9.1 of the database contains 4449 entries representing hairpin precursor miRNAs, expressing 4274 mature miRNA products, in primates, rodents, birds, fish, worms, flies, plants and viruses.

This package will install the miRBase database for mySQL, EMBOSS, and/or ncbi-blast if you have the corresponding packages installed.

It is possible that mirbase will not be a package from the main archive, but will be autogenerated as part of a larger data packaging effort.

phylowin - wnpp
Graphical interface for molecular phylogenetic inference
License: unknown
Debian package not available

Phylo_win is a graphical colour interface for molecular phylogenetic inference. It performs neighbor-joining, parsimony and maximum likelihood methods and bootstrap with any of them. Many distances can be used including Jukes & Cantor, Kimura, Tajima & Nei, HKY, Galtier & Gouy (1995), LogDet for nucleotidic sequences, Poisson correction for protein sequences, Ka and Ks for codon sequences. Species and sites to include in the analysis are selected by mouse. Reconstructed trees can be drawn, edited, printed, stored and evaluated according to numerous criteria.

This program uses sources files from the Phylip program, which forbids its use for profit. Therfore, Phylo_win will unfortunately have to be distributed in contrib or non-free.

Remark of Debian Med team: Issuer of previous ITP said:

Because I could never figure out the license of Phylo_win, and because the upstream authors released SeaView 4, which provides similar functionalities, I will not package Phylo_win.

Probably it makes sense to remove this project from the prospective packages list.

No known packages available

amoscmp
comparative genome assembly package
License: Artistic
Debian package not available

A comparative assembler is a program that can assemble a set of shotgun reads from an organism by mapping them to the finished sequence of a related organism. Thus, a comparative assembler transforms the traditional overlap-layout-consensus approach to alignment-layout-consensus. The AMOScmp package uses the MUMmer program to perform a mapping of the reads to the reference genome, then processes the alignment results with a sophisticated layout program designed to take into account polymorphisms between the two genomes. For a detailed description of the algorithms involved please refer to the paper listed in the References section.

AMOScmp uses as AMOS messages as both the inputs and the outputs (see documentation). Two utilities are provided to process these files: tarchive2amos - a versatile converter from trace archive .seq, .qual, and .xml information into AMOS formatted data; amos2ace - a converter from AMOS formatted data to the .ACE assembly format. In addition, the AMOS::AmosLib Perl module is provided as a tool for users who prefer to write their own conversion utilities. Please see the documentation included with the distribution for more information.

AMOScmp is part of the AMOS package (see http://amos.sourceforge.net/)- a collaborative effort to develop a modular open-source framework for assembly development.

Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
annovar
annotate genetic variants detected from diverse genomes
License: Open Source for non-profit
Debian package not available

ANNOVAR is an efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform:

 1. Gene-based annotation: identify whether SNPs or CNVs cause protein coding
    changes and the amino acids that are affected. Users can flexibly use RefSeq
    genes, UCSC genes, ENSEMBL genes, GENCODE genes, or many other gene definition
    systems.
 2. Region-based annotations: identify variants in specific genomic regions,
    for example, conserved regions among 44 species, predicted transcription
    factor binding sites, segmental duplication regions, GWAS hits, database
    of genomic variants, DNAse I hypersensitivity sites, ENCODE
    H3K4Me1/H3K4Me3/H3K27Ac/CTCF sites, ChIP-Seq peaks, RNA-Seq peaks, or many
    other annotations on genomic intervals.
 3. Filter-based annotation: identify variants that are reported in dbSNP,
    or identify the subset of common SNPs (MAF>1%) in the 1000 Genome Project,
    or identify subset of non-synonymous SNPs with SIFT score>0.05, or many
    other annotations on specific mutations.
 4. Other functionalities: Retrieve the nucleotide sequence in any
    user-specific genomic positions in batch, identify a candidate gene list
    for Mendelian diseases from exome data, identify a list of SNPs from
    1000 Genomes that are in strong LD with a GWAS hit, and many other
    creative utilities.

In a modern desktop computer (3GHz Intel Xeon CPU, 8Gb memory), for 4.7 million variants, ANNOVAR requires ~4 minutes to perform gene-based functional annotation, or ~15 minutes to perform stepwise "variants reduction" procedure, making it practical to handle hundreds of human genomes in a day.

arachne
toolkit for Whole Genome Shotgun Assembly
License: free
Debian package not available

Arachne is a toolkit developed for Whole Genome Shotgun Assembly. Arachne consists of a comprehensive set of modules, including a central pipeline (Assemblez) that can be run on almost any genome to produce a draft assembly. Arachne's mandate explicitly includes accommodating difficult genomes with complications such as extreme size, repeats, and high polymorphism rates. In order to construct a reasonably well-connected assembly from such tricky genomes, Arachne provides further tools that can be used after the main module pipeline.

The Arachne code package has been under continuous development since 2000. It began with the classic "overlap-layout-consensus" paradigm and has since developed into a vast collection of tools, implemented in numerous modules, to analyze, visualize and manipulate assemblies. New and improved algorithms are becoming available on a regular basis.

asap
organize the data associated with a genome
Responsible: Andreas Tille
License: GPL
Debian package not available

Developments in genome-wide approaches to biological research have yielded greatly increased quantities of data, necessitating the cooperation of communities of scientists focusing on shared sets of data. ASAP leverages the internet and database technologies to meet these needs. ASAP is designed to organize the data associated with a genome from the early stages of sequence annotation through genetic and biochemical characterization, providing a vehicle for ongoing updates of the annotation and a repository for genome-scale experimental data. Development was motivated by the need to more directly involve a greater community of researchers, with their collective expertise, in keeping the genome annotation current and to provide a synergistic link between up-to-date annotation and functional genomic data. The system is continually under development at the Genome Evolution Lab with the stable, in-use, publicly available University of Wisconsin installation updated regularly.

Software development on ASAP began in early 2002, and ASAP has been continually improved up until the present day. A longstanding goal of the ASAP project was to make the source code of ASAP available so that other installations of ASAP could be implemented. As future ASAP installations come to pass, ASAP will be further extended to be inter-operable between sites.

bambus
hierarchical approach to building contig scaffolds
License: Artistic
Debian package not available

BAMBUS is the first publicly available scaffolding program. It orders and orients contigs into scaffolds based on various types of linking information. Additionally, BAMBUS allows the users to build scaffolds in a hierarchical fashion by prioritizing the order in which links are used. For more information please check out the online documentation.

Note that currently Bambus is undergoing a transition in order to be integrated with the AMOS package (see http://amos.sourceforge.net/)

Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
cactus
License: GPL
Debian package not available

Cactus is an open source problem solving environment designed for scientists and engineers. Its modular structure easily enables parallel computation across different architectures and collaborative code development between different groups.

Cactus provides easy access to many cutting edge software technologies being developed in the academic research community, including the Globus Metacomputing Toolkit, HDF5 parallel file I/O, the PETSc scientific library, adaptive mesh refinement, web interfaces, and advanced visualization tools.

cdna-db
quality-control checking of finished cDNA clone sequences
License: Artistic
Debian package not available

cdna_db is a software system designed for quality-control checking of finished cDNA clone sequences, and their computational analysis. The combination of a relational db (MySQL) schema, and an object-orientated perl API make it easy to implement high-level analyses of these transcript sequences.

The cdna_db can store cDNA clone sequences, and ESTs and consensus/contig sequences also derived from these clones. These are then used by the system to check cDNA clone sequence identity etc (see deneral_doc.txt). For each clone multiple DNA sequence versions can be stored, if for instance, the finished DNA sequence is revised as part of the sequencing process.

A blast pipeline is implemented together with a job control system (with LSF underlying) so that multiple CPUs can be used in parallel to carry out the blasts of large datasets. The searches can be made incremental, so as more cDNA sequences are added to the databank, just the new clones are blasted.

Utility scripts are provided to delete previous search results, and dump cDNA clones sequences (such as those that passed the QC checking) from the cdna_db.

cmap
view comparisons of genetic and physical maps
License: Not specified
Debian package not available

CMap is a web-based tool that allows users to view comparisons of genetic and physical maps. The package also includes tools for curating map data.

contralign
parameter learning framework for protein pairwise sequence alignment
License: Public Domain
Debian package not available

CONTRAlign is an extensible and fully automatic parameter learning framework for protein pairwise sequence alignment based on pair conditional random fields. The CONTRAlign framework enables the development of feature-rich alignment models which generalize well to previously unseen sequences and avoid overfitting by controlling model complexity through regularization.

copycat
fast access to cophylogenetic analyses
License: Use of the program is free for academic purposes at an academic institute. For all other uses, please contact the authors.
Debian package not available

CopyCat provides an easy and fast access to cophylogenetic analyses. It incorporates a wrapper for the program ParaFit, which conducts a statistical test for the presence of congruence between host and parasite phylogenies. CopyCat offers various features, such as the creation of customized host-parasite association data and the computation of phylogenetic host/parasite trees based on the NCBI taxonomy.

e-hive
distributed processing system based on 'autonomous agents'
License: Not specified
Debian package not available

This is a distributed processing system based on 'autonomous agents' and Hive behavioural structure of Honey Bees . It implements all functionality of both data-flow graphs and block-branch diagrams which should allow it to codify any program, algorithm, or parallel processing job control system. It is not bound to any processing 'farm' system and can be adapted to any GRID.

exalt
phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
License: Artistic
Debian package not available

ExAlt is a software program designed to predict alternatively spliced overlapping exons in genomic sequence. The program works in several ways depending on the available input. ExAlt can use information of existing gene structure as well as sequence conservation to improve the precision of it's predictions. ExAlt can also make predictions when only a single genomic sequence is available. ExAlt has been extensively tested on Drosophila melanogaster, but can be adapted to run on other species.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
excavator
gene expression data clustering
License: GPL
Debian package not available
Language: Java

Excavator is a program for gene expression data clustering. It uses a set of unique clustering algorithms developed by the Computational Systems Biology Lab (CSBL) at the University of Georgia. Excavator represents data internally as a minimum spanning tree and outputs results to the user through the use of a micro-array data window, graphs, and a dendrogram viewer.

Features

  • partitioning gene expressions profiles using multiple methods of clustering and definitions of distance between profiles.
  • automatic selection of the most plausible number of clusters in a data set
  • three different ways of viewing data: Micro-array, Gene Expression, and Dendrogram. As well as graphing individual genes from each cluster independently.
  • identification of genes with expression profiles similar to specified seed genes
  • cluster identification from a noisy background
  • numerical comparison between different clustering results of the same data set
  • runnable on command line as well as through a Java GUI
figaro
novel vector trimming software
License: Artistic
Debian package not available

Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence. By statistically modeling short oligonucleotide frequencies within a set of reads, Figaro is able to determine which DNA words are most likely associated with vector sequence. For a description of Figaro's algorithms please see our paper. Figaro is part of the AMOS suite.

Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
forge
genome assembler for mixed read types
License: Apache 2.0
Debian package not available

Forge Genome Assembler is a parallel, MPI based genome assembler for mixed read types.

Forge is a classic "Overlap layout consensus" genome assembler written by Darren Platt and Dirk Evers. Implemented in C++ and using the parallel MPI library, it runs on one or more machines in a network and can scale to very large numbers of reads provided there is enough collective memory on the machines used. It generates a full consensus alignment of all reads, can handle mixtures of sanger, 454 and illumina reads. There is some support for solid color space and it includes built in tools for vector trimming and contamination screening.

Forge and was originally developed at Exelixis and they have kindly agreed to place the software which underwent much subsequent development outside Exelixis, into the public domain. Forge works with most of the common MPI implementations.

Remark of Debian Med team: Competitor to MIRA2 and wgs-assembler

This package was requested by William Spooner whs@eaglegenomics.com as a competitor to MIRA2 and wgs-assembler.

genemark
family of gene prediction programs
License: Academic License Agreement
Debian package not available

A family of gene prediction programs developed at Georgia Institute of Technology, Atlanta, Georgia, USA.

genesplicer
computational method for splice site prediction
License: Artistic
Debian package not available

A fast, flexible system for detecting splice sites in the genomic DNA of various eukaryotes. The system has been trained and tested successfully on Plasmodium falciparum (malaria), Arabidopsis thaliana, human, Drosophila, and rice . Training data sets for human and Arabidopsis thaliana are included. Use the GeneSplicer Web Interface to run GeneSplicer directly, or see below for instructions on downloading the complete system including source code.

There is no independent program to train GeneSplicer, but there is a way to obtain the necessary files by using the training procedure of GlimmerHMM.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
genetrack
genomic data storage and visualization framework
Responsible: Charles Plessy
License: MIT
Debian package not available

GeneTrack is a high performance bioinformatics data storage and analysis system designed to store genome wide information. It is currently used to analyze data obtained via high-throughput rapid sequencing platforms such as the 454 and Solexa as well as tiling array data based on various platforms.

genezilla
eukaryotic gene finder
License: Artistic
Debian package not available
Language: C++

GeneZilla is a state-of-the-art program for computational prediction of protein-coding genes in eukaryotic DNA, and is based on the Generalized Hidden Markov Model (GHMM) framework, similar to GENSCAN and GENIE. It is highly reconfigurable and includes software for retraining by the end-user. It is written in highly optimized C++ and runs under most UNIX/Linux platforms. The run time and memory requirements are linear in the sequence length, and are in general much better than those of competing systems, due to GeneZilla's novel decoding algorithm. Graph-theoretic representations of the high scoring open reading frames are provided, allowing for exploration of sub-optimal gene models. It utilizes Interpolated Markov Models (IMMs), Maximal Dependence Decomposition (MDD), and includes states for signal peptides, branch points, TATA boxes, CAP sites, and will soon model CpG islands as well.

GeneZilla is an open-source project hosted at bioinformatics.org and currently consists of ~20,000 lines of code. GeneZilla evolved out of the ab initio eukaryotic gene finder TIGRscan, which was developed at The Institute for Genomic Research over a 3-year period under NIH grants R01-LM06845 and R01-LM007938, and which served as the basis for the comparative gene finder TWAIN.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
genographer
read data and reconstruct them into a gel image
License: GPL
Debian package not available

This program will read in data from an ABI 3700, 3100, 377 or 373, CEQ 2000 or SCF and reconstruct them into a gel image which is straightened and sized. Bins can be defined easily and viewed as thumbnails, which allows for a fairly quick and easy way of scoring a gel.

The program is written in Java and uses the Java 1.3 API. Therefore, it should run on any machine that can run java.

glimmerhmm
Eukaryotic Gene-Finding System
License: Artistic
Debian package not available

GlimmerHMM is a new gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms to the overall mathematical framework of a GHMM, additionally it incorporates splice site models adapted from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated Markov Models for the coding and noncoding models . Currently, GlimmerHMM's GHMM structure includes introns of each phase, intergenic regions, and four types of exons (initial, internal, final, and single). A basic user manual can be consulted here.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
gmv
comparative genome browser for Murasaki
License: GPL
Debian package not available

GMV is a comparative genome browser for Murasaki. GMV visualizes anchors from Murasaki, annotation data from GenBank files, and expression / prediction score from GFF files.

jigsaw
gene prediction using multiple sources of evidence
License: Artistic
Debian package not available

JIGSAW is a program designed to use the output from gene finders, splice site prediction programs and sequence alignments to predict gene models. The program provides an automated way to take advantage of the many succsessful methods for computational gene prediction and can provide substantial improvements in accuracy over an individual gene prediction program.

JIGSAW is available for all species. It is tested on Human, Rice (Oryza sativa), Arabidopsis thaliana , Brugia malayi, Cryptococcus neoformans, Entamoeba histolytica, Theileria parva, Aspergillus fumigatus, Plasmodium falciparum and Plasmodium yoelii.

The linear combiner option is now available in the current JIGSAW software distribution. This allows JIGSAW to be run without the use of training data. A weight is assigned to each evidence source, and gene predictions are based on a weighted voting scheme, yielding the best 'consensus' predictions.

Predictions are now available for the ENCODE regions in Human and viewable as custom tracks in the UCSC Human Genome Browser. Predictions available for the Human genome and viewable as custom tracks in the UCSC Human Genome Browser

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
maker2
annotate genomes and create genome databases
License: GPL / Artistic
Debian package not available

MAKER is a portable and easily configurable genome annotation pipeline. It's purpose is to allow smaller eukaryotic and prokaryotic genome projects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence-based quality values. MAKER is also easily trainable: outputs of preliminary runs can be used to automatically retrain its gene prediction algorithm, producing higher quality gene-models on seusequent runs. MAKER's inputs are minimal and its ouputs can be directly loaded into a GMOD database. They can also be viewed in the Apollo genome browser; this feature of MAKER provides an easy means to annotate, view and edit individual contigs and BACs without the overhead of a database. MAKER should prove especially useful for emerging model organism projects with minimal bioinformatics expertise and computer resources

metarep
JCVI Metagenomics Reports
License: MIT
Debian package not available

JCVI Metagenomics Reports (METAREP) is a new open source tool for high-performance comparative metagenomics. It provides a suite of web based tools to help scientists to view, query, browse and compare metagenomics annotation data derived from ORFs called on metagenomics reads.

METAREP supports browsing of functional and taxonomic assignments. Users can either specify fields, or logical combinations of fields to flexibly filter datasets on the fly. Users can compare multiple datasets at various functional and taxonomic levels applying statistical tests as well as hierarchical clustering, multidimensional scaling and heatmaps.

minimus
AMOS lightweight assembler
License: Artistic
Debian package not available

minimus is an assembly pipeline designed specifically for small data-sets, such as the set of reads covering a specific gene. Note that the code will work for larger assemblies (we have used it to assemble bacterial genomes), however, due to its stringency, the resulting assembly will be highly fragmented. For large and/or complex assemblies the execution of Minimus should be followed by additional processing steps, such as scaffolding.

minimus follows the Overlap-Layout-Consensus paradigm and consists of three main modules:

  • overlapper - computes the overlaps between the reads using a modified version of the Smith-Waterman local alignment algorithm
  • tigger - uses the read overlaps to generate the layouts of reads representing individual contigs
  • make-consensus - refines the layouts produced by the tigger to generate accurate multiple alignments within the reads

minimus uses as AMOS messages as both the inputs and the outputs (see documentation). Two utilities are provided to process these files: tarchive2amos - a versatile converter from trace archive .seq, .qual, and .xml information into AMOS formatted data; amos2ace - a converter from AMOS formatted data to the .ACE assembly format. In addition, the AMOS::AmosLib Perl module is provided as a tool for users who prefer to write their own conversion utilities. Please see the documentation included with the distribution for more information.

minimus is part of the AMOS package - a collaborative effort to develop a modular open-source framework for assembly development.

Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
mummergpu
High-throughput sequence alignment using Graphics Processing Units
License: Artistic
Debian package not available

The recent availability of new, less expensive high-throughput DNA sequencing technologies has yielded a dramatic increase in the volume of sequence data that must be analyzed. These data are being generated for several purposes, including genotyping, genome resequencing, metagenomics, and de novo genome assembly projects. Sequence alignment programs such as MUMmer have proven essential for analysis of these data, but researchers will need ever faster, high-throughput alignment tools running on inexpensive hardware to keep up with new sequence technologies.

MUMmerGPU is a low cost, ultra-fast sequence alignment program designed to handle the increasing volume of data produced by new, high-throughput sequencing technologies. MUMmerGPU is a GPGPU drop-in replacement for MUMmer, using the GPUs in common workstations to simultaneously align multiple query sequences against a single reference sequence stored as a suffix tree. By processing the queries in parallel on the highly parallel graphics card, MUMmerGPU achieves more than a 10-fold speedup over a serial CPU version of the sequence alignment kernel, and outperforms MUMmer on a high end CPU by 3.5-fold in total application time when aligning reads from recent sequencing projects using Solexa/Illumina, 454, and Sanger sequencing technologies.

Remark of Debian Med team: Genome assembly and large-scale genome alignment (http://www.cbcb.umd.edu/software/)
obo-edit
editor for biological ontologies
License: Artistic
Debian package not available

(Open Biological Ontologies) Obo-Edit supports the formal representation of biological entities and the specification of is-a (specialisation) and part-of relations. Amongst the databases cureated by this tool is the GeneOntology.

operondb
detect and analyze conserved gene pairs
License: to be clarified
Debian package not available

Comparison of complete microbial genomes reveals a large number of conserved gene clusters - sets of genes that have the same order in two or more different genomes. Such gene clusters often, but not always represent a co-transcribed unit, or operon. A method was developed to detect and analyze conserved gene pairs - pairs of genes that are located close on the same DNA strand in two or more bacterial genomes. For each conserved gene pair, an estimate of probability is calculated that the genes belong to the same operon. The algorithm takes into account several alternative possibilities. One is that functionally unrelated genes may have the same order due simply because they were adjacent in a common ancestor. Other possibilities are that genes may be adjacent in two genomes by chance alone, or due to horizontal transfer of the gene pair.

The method is modified from the one described in: Maria D. Ermolaeva, Owen White and Steven L. Salzberg. Prediction of Operons in Microbial Genomes. Nucleic Acids Research, 29, 1216-1221, (2001)

OperonDB was supported by the NIH under grant R01-LM007938 and by the NSF under grant DBI-0234704.

Remark of Debian Med team: Other sequence analysis tools (http://www.cbcb.umd.edu/software/);

no info about license or downloadable code found, but tried to contact authors.

phagefinder
heuristic computer program to identify prophage regions within bacterial genomes
License: GPL
Debian package not available
Language: Perl

It uses tab-delimited results from NCBI BLASTALL or WU BLASTP 2.0 searches against a collection of bacteriophage protein sequences and results from HMMSEARCH analysis of 441 phage-specific HMMs to locate prophage regions. By using FASTA33, MUMMER or BLASTN, it can find potential attachment (att) sites of the phage region(s). Data from tRNAscan-SE and Aragorn are used to determine whether a tRNA or tmRNA served as the putative target for integration. Additionally, by looking for the presence or absence of specific proteins using specific HMM models, Phage_Finder can predict whether the region is most likely prophage and which type (Mu, P2, or retron R73), an integrated element, a plasmid, or a degenerate phage region.

The goal of this project is to provide an open-sourced, standardized and automated system to identify and classify prophages within prokaryotic genomes. It is hoped that this package will facilitate future studies on the biology and evolution of these prophages by providing a level of microbial genome annotation that was previously void.

phpphylotree
draw phylogenetic trees
License: GPL
Debian package not available

PhpPhylotree is a web application that is able to draw phylogenetic trees. It produces an SVG (Scalable Vector Graphic) file from phylip/newick tree files.

phylographer
Graph Visualization Tool
License: GPL
Debian package not available
Language: Tcl/Tk

PhyloGrapher is a program designed to visualize and study evolutionary relationships within families of homologous genes or proteins (elements). PhyloGrapher is a drawing tool that generates custom graphs for a given set of elements. In general, it is possible to use PhyloGrapher to visualize any type of relations between elements. Used in conjunction with tcl_blast_parser, PhyloGrapher can represent the results of a BLAST search as a graph.

PhyloGrapher and tcl_blast_parser are useful tools to analyse BLAST biological sequence alignment reports (BLAST is provided by Debian's blast2 package).

Remark of Debian Med team: Outdated upstream, better alternatives available

The former packaging effort of this package was dropped. It seems that http://cytoscape.org/ is a reasonable replacement.

pyrophosphate-tools
for assembling and searching pyrophosphate sequence data
License: not specified
Debian package not available

Simple tools for assembling and searching high-density picolitre pyrophosphate sequence data.

rose
Region-Of-Synteny Extractor
License: Open Source
Debian package not available

ROSE is a program which identifies regions between two genomes which are likely to contain orthologous genes. The two genomes are given as two multi fasta files of DNA sequences. The PROmer program from the MUMmer package needs to be run first between the two genomes, and the resulting delta file is then input to ROSE. If a previous annotation is available for one or both genomes, then the coordinates of the annotated genes from a genome can be optionally given as input in a gff file. The gene coordinates will be used to guide the length of the regions produced by ROSE. By default, when finding a region of consistent alignments, ROSE will add a user-defined margin (1000 bp by default) on either side of that region. When a predicted gene overlaps an alignment we use the gene prediction to extend the boundaries of the output region.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
treebuilder3d
viewer of SAGE and other types of gene expression data
License: GPL
Debian package not available
Language: Java

TreeBuilder3D is an interactive viewer that allows organization of SAGE and other types of gene expression data such as microarrays into hierarchical dendrograms, or phenetic networks (the term 'phenetic' used as the analysis relies on principals, used in phylogenetic analysis by system biology). Might be used as a visual aid when analyzing differences in expression profiles of SAGE libraries, serves as an alternative to Venn diagrams.

tripal
collection of Drupal modules for genomic research
License: GPL ( as Drupal a derivative )
Debian package not available

Tripal is a collection of open-source freely available Drupal modules under development at CUGI and a member of the GMOD family of tools. Tripal serve as a web interface for the GMOD Chado database. Tripal intially started as a web front-end for the Marine Genomics Project (MG.org). Work on the interface is currently ongoing for the MG.org project as well as the Fagaceae Genomics Web, and other CUGI projects. Tripal is currently being implemented for the new Cacao Genome Database, and Citrus Genome Database and will be used for the Genome Database for Rosaceae. These latter three databases are projects of the Main Bioinformatics Laboratory at Washington State University

twain
syntenic genefinder employing a Generalized Pair Hidden Markov Model
License: Open Source
Debian package not available

TWAIN is a new syntenic genefinder which employs a Generalized Pair Hidden Markov Model (GPHMM) to predict genes in two closely related eukaryotic genomes simultaneously. It utilizes the MUMmer package to perform approximate alignment before applying a GPHMM based on an enhanced version of the TigrScan gene finder. TWAIN was written by Bill Majoros and Mihaela Pertea while at The Institute for Genomic Research (TIGR).

TWAIN consists of two components: (1) ROSE, the Region Of Synteny Extractor, which identifies contiguous regions likely to contain one or more syntenic genes, and (2) OASIS, a generalized pair hidden Markov model (GPHMM) for predicting genes in the regions identified by ROSE. The system utilizes approximate alignments constructed by the PROmer and NUCmer programs in the MUMmer package to assess approximate alignment scores efficiently. More detailed information on the architecture of this system will be made available soon. Slides from a talk at Computational Genomics 2004 are now available.

Remark of Debian Med team: Computational Gene Finding (http://www.cbcb.umd.edu/software/)
uniprime
workflow-based platform for universal primer design
Responsible: Charles Plessy
License: GPL-3+
Debian package not available

UniPrime automatically designs large sets of universal primers by simply inputting a GeneID reference. It automatically retrieves and aligns orthologous sequences from GenBank, identifies regions of conservation within the alignment and generates suitable primers that can amplify variable genomic regions. UniPrime differs from previous automatic primer design programs in that all steps of primer design are automated, saved and are phylogenetically limited. We have experimentally verified the efficiency and success of this program. UniPrime is an experimentally validated, fully automated program that generates successful cross-species primers that take into account the biological aspects of the PCR.

x-tandem-pipeline
peptide/protein identification from MS/MS mass spectra
License: GPL
Debian package not available
Language: Java

X!Tandem is an open-source software performing peptide/protein identification from MS/MS mass spectra. X!Tandem is fast and accurate, but the Global Proteome Machine (GPM) is relatively limited regarding the processing of identification results. X!Tandem pipeline is an alternative to the installation of the GPM on local servers. X!Tandem pipeline performs database searching and matching on a list of MS/MS runs in one shot, using a list of easily user selected paramaters and databases. X!Tandem pipeline also performs filtering of data according to statistical values at peptide and protein levels. The results are stored into TSV (Tab Separated Values) files. Moreover, redundancy of protein databases are fully filtered as follows :

  • proteins identified without specific peptides compared to others are eliminated;
  • proteins identified with the same pool of peptides are assembled;
  • proteins are grouped by function (identified with at least one common peptide), and the specific peptides for each sub-group of proteins are indicated.
*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 284154