Debian Med Project
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Summary
Covid-19
This task exists only for tagging COVID-19 relevant cases

The Debian Med team intends to take part at the

 COVID-19 Biohackathon (April 5-11, 2020)
This task was created only for the purpose to list relevant packages.

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 Covid-19 packages

Official Debian packages with high relevance

abacas
??? missing short description for package abacas :-(
Versions of package abacas
ReleaseVersionArchitectures
forky1.3.1-10all
sid1.3.1-10all
bullseye1.3.1-9all
bookworm1.3.1-9all
trixie1.3.1-9all
Debtags of package abacas:
roleprogram
Popcon: 5 users (33 upd.)*
Versions and Archs
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
abyss
??? missing short description for package abyss :-(
Versions of package abyss
ReleaseVersionArchitectures
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
trixie2.3.10-1amd64,arm64,ppc64el,riscv64,s390x
sid2.3.10-2amd64,arm64,loong64,ppc64el,riscv64,s390x
Debtags of package abyss:
roleprogram
Popcon: 7 users (36 upd.)*
Versions and Archs
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
allelecount
??? missing short description for package allelecount :-(
Versions of package allelecount
ReleaseVersionArchitectures
bookworm4.3.0-2amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
sid4.3.0-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye4.2.1-1amd64,arm64,armhf,i386
forky4.3.0-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie4.3.0-3amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
Popcon: 0 users (0 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bioconda 
assembly-stats
??? missing short description for package assembly-stats :-(
Versions of package assembly-stats
ReleaseVersionArchitectures
sid1.0.1+ds-8amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye1.0.1+ds-3amd64,arm64,armhf,i386
forky1.0.1+ds-8amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie1.0.1+ds-6amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm1.0.1+ds-6amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
Popcon: 4 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bioconda 
augur
??? missing short description for package augur :-(
Versions of package augur
ReleaseVersionArchitectures
bullseye11.0.0-1all
sid24.4.0-3all
forky24.4.0-3all
trixie24.4.0-1all
bookworm20.0.0-1all
upstream33.3.0
Popcon: 8 users (32 upd.)*
Newer upstream!
License: DFSG free
Git
bamclipper
??? missing short description for package bamclipper :-(
Versions of package bamclipper
ReleaseVersionArchitectures
forky1.0.0-3all
trixie1.0.0-3all
bookworm1.0.0-3all
sid1.0.0-3all
Popcon: 2 users (35 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bioconda 
bamkit
??? missing short description for package bamkit :-(
Versions of package bamkit
ReleaseVersionArchitectures
bullseye0.0.1+git20170413.ccd079d-2all
bookworm0.0.1+git20170413.ccd079d-3all
sid0.0.1+git20170413.ccd079d-3all
forky0.0.1+git20170413.ccd079d-3all
trixie0.0.1+git20170413.ccd079d-3all
Popcon: 11 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
bbmap
??? missing short description for package bbmap :-(
Versions of package bbmap
ReleaseVersionArchitectures
sid39.20+dfsg-3all
forky39.20+dfsg-3all
trixie39.20+dfsg-2all
bookworm39.01+dfsg-2all
bullseye38.90+dfsg-1all
upstream39.86
Popcon: 9 users (34 upd.)*
Newer upstream!
License: DFSG free
Git
The package is enhanced by the following packages: multiqc
Please cite: Brian Bushnell, Jonathan Rood and Esther Singer: BBMerge – Accurate paired shotgun read merging via overlap. (PubMed,eprint) PLOS One (2017)
Registry entries: Bio.tools  SciCrunch  Bioconda 
bcalm
??? missing short description for package bcalm :-(
Versions of package bcalm
ReleaseVersionArchitectures
bookworm2.2.3-4amd64,arm64,mips64el,ppc64el
bullseye2.2.3-1amd64,arm64,i386
forky2.2.3-6amd64,arm64,loong64,ppc64el,riscv64
trixie2.2.3-5amd64,arm64,ppc64el,riscv64
sid2.2.3-6amd64,arm64,loong64,ppc64el,riscv64
Popcon: 4 users (36 upd.)*
Versions and Archs
License: DFSG free
Git
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 :-(
Versions of package bcftools
ReleaseVersionArchitectures
bookworm1.16-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el
sid1.22-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye1.11-1amd64,arm64,armhf,i386
trixie1.21-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
forky1.22-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
upstream1.23.1
Popcon: 19 users (41 upd.)*
Newer upstream!
License: DFSG free
Git
The package is enhanced by the following packages: multiqc
Please cite: Petr Danecek and Shane A. McCarthy: BCFtools/csq: Haplotype-aware variant consequences. (2016)
Registry entries: Bio.tools  SciCrunch  Bioconda 
bedtools
??? missing short description for package bedtools :-(
Versions of package bedtools
ReleaseVersionArchitectures
sid2.31.1+dfsg-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie2.31.1+dfsg-2amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bullseye2.30.0+dfsg-1amd64,arm64,armhf,i386
bookworm2.30.0+dfsg-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
forky2.31.1+dfsg-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
Debtags of package bedtools:
fieldbiology, biology:bioinformatics
interfacecommandline
roleprogram
scopesuite
useanalysing, comparing, converting, filtering
works-withbiological-sequence
Popcon: 59 users (117 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bio.tools  SciCrunch  Bioconda 
biobambam2
??? missing short description for package biobambam2 :-(
Versions of package biobambam2
ReleaseVersionArchitectures
forky2.0.185+ds-2amd64,loong64,ppc64el,riscv64
bookworm2.0.185+ds-1amd64,arm64,i386,ppc64el
trixie2.0.185+ds-2amd64,ppc64el,riscv64
bullseye2.0.179+ds-1amd64,arm64,i386
sid2.0.185+ds-2amd64,loong64,ppc64el,riscv64
upstream2.0.185-release-20221211202123
Popcon: 10 users (33 upd.)*
Newer upstream!
License: DFSG free
Git
The package is enhanced by the following packages: multiqc
Please cite: German Tischler and Steven Leonard: biobambam: tools for read pair collation based algorithms on BAM files. (eprint) Source Code Biol Med. 9:13 (2014)
Registry entries: Bio.tools  SciCrunch  Bioconda 
bowtie2
??? missing short description for package bowtie2 :-(
Versions of package bowtie2
ReleaseVersionArchitectures
forky2.5.5-1amd64,arm64,loong64,ppc64el,riscv64
bookworm2.5.0-3amd64,arm64,mips64el,ppc64el
trixie2.5.4-1amd64,arm64,ppc64el,riscv64
sid2.5.5-1amd64,arm64,loong64,ppc64el,riscv64
bullseye2.4.2-2amd64,arm64
Popcon: 23 users (40 upd.)*
Versions and Archs
License: DFSG free
Git
The package is enhanced by the following packages: bowtie2-examples multiqc
Please cite: Ben Langmead and Steven L Salzberg: Fast gapped-read alignment with Bowtie 2. (PubMed) Nature Methods 9:357–359 (2012)
Registry entries: Bio.tools  SciCrunch  Bioconda 
Topics: Genomics
busco
??? missing short description for package busco :-(
Versions of package busco
ReleaseVersionArchitectures
trixie5.5.0-3amd64,arm64,i386
sid5.5.0-4amd64,arm64,i386
forky5.5.0-4amd64,arm64,i386
bookworm5.4.4-1amd64,i386
bullseye5.0.0-1all
upstream6.0.0
Popcon: 10 users (34 upd.)*
Newer upstream!
License: DFSG free
Git
The package is enhanced by the following packages: multiqc
Please cite: Mathieu Seppey, Mosè Manni and Evgeny M. Zdobnov: BUSCO: Assessing Genome Assembly and Annotation Completeness. (PubMed) Methods Mol Biol. 1962:227-245 (2019)
Registry entries: Bio.tools  Bioconda 
bustools
??? missing short description for package bustools :-(
Versions of package bustools
ReleaseVersionArchitectures
sid0.45.1+dfsg-1amd64,arm64,loong64,ppc64el,riscv64,s390x
bullseye0.40.0-4amd64,arm64
bookworm0.42.0+dfsg-1amd64,arm64,mips64el,ppc64el,s390x
trixie0.43.2+dfsg-1amd64,arm64,ppc64el,riscv64,s390x
forky0.45.1+dfsg-1amd64,arm64,loong64,ppc64el,riscv64,s390x
Popcon: 4 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bio.tools  Bioconda 
bwa
??? missing short description for package bwa :-(
Versions of package bwa
ReleaseVersionArchitectures
bullseye0.7.17-6amd64,arm64,armhf,i386
sid0.7.19-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky0.7.19-1amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie0.7.18-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm0.7.17-7amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
Debtags of package bwa:
biologynuceleic-acids, peptidic
fieldbiology, biology:bioinformatics
interfacecommandline, text-mode
roleprogram
useanalysing, comparing
Popcon: 20 users (39 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bio.tools  SciCrunch  Bioconda 
cat-bat
??? missing short description for package cat-bat :-(
Versions of package cat-bat
ReleaseVersionArchitectures
sid6.0.1-1amd64,arm64,loong64,ppc64el,riscv64,s390x
forky6.0.1-1amd64,arm64,loong64,ppc64el,riscv64,s390x
bullseye5.2.2-1amd64,arm64
bookworm5.2.3-2amd64,arm64,ppc64el,s390x
trixie5.3-2amd64,arm64,ppc64el,riscv64,s390x
Popcon: 4 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bioconda 
centrifuge
??? missing short description for package centrifuge :-(
Versions of package centrifuge
ReleaseVersionArchitectures
bookworm1.0.3-11amd64,arm64,armel,armhf,i386,mips64el,ppc64el
sid1.0.4.2-1amd64,arm64,loong64,ppc64el,riscv64
forky1.0.4.2-1amd64,arm64,loong64,ppc64el,riscv64
trixie1.0.4.2-1amd64,arm64,ppc64el,riscv64
bullseye1.0.3-8amd64,arm64,armhf,i386
Popcon: 7 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
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)
Registry entries: Bio.tools  Bioconda 
changeo
??? missing short description for package changeo :-(
Versions of package changeo
ReleaseVersionArchitectures
sid1.3.0-4all
bullseye1.0.2-1all
bookworm1.3.0-1all
trixie1.3.0-3all
forky1.3.0-4all
upstream1.3.4
Popcon: 5 users (34 upd.)*
Newer upstream!
License: DFSG free
Git
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)
Registry entries: Bioconda 
chip-seq
??? missing short description for package chip-seq :-(
Versions of package chip-seq
ReleaseVersionArchitectures
sid1.5.5-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye1.5.5-3amd64,arm64,armhf,i386
forky1.5.5-3amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie1.5.5-3amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm1.5.5-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
Popcon: 0 users (0 upd.)*
Versions and Archs
License: DFSG free
Git
Please cite: Giovanna Ambrosini, René Dreos, Sunil Kumar and Philipp Bucher: The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data. (PubMed,eprint) BMC Genomics 17(1):938 (2016)
clonalframeml
??? missing short description for package clonalframeml :-(
Versions of package clonalframeml
ReleaseVersionArchitectures
bookworm1.12-3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye1.12-1amd64,arm64,armhf,i386
forky1.13-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
trixie1.13-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
sid1.13-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
upstream1.20
Popcon: 4 users (35 upd.)*
Newer upstream!
License: DFSG free
Git
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)
Registry entries: Bioconda 
cutadapt
??? missing short description for package cutadapt :-(
Versions of package cutadapt
ReleaseVersionArchitectures
forky4.7-2all
trixie4.7-2all
sid4.7-2all
bullseye3.2-2all
bookworm4.2-1all
upstream5.2
Popcon: 11 users (38 upd.)*
Newer upstream!
License: DFSG free
Git
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)
Registry entries: Bio.tools  SciCrunch  Bioconda 
cwltool
??? missing short description for package cwltool :-(
Versions of package cwltool
ReleaseVersionArchitectures
forky3.2.20260413085819-1all
sid3.2.20260413085819-1all
bookworm3.1.20230209161050-1all
trixie3.1.20250110105449-3all
bullseye3.0.20210124104916-3+deb11u1all
Popcon: 53 users (122 upd.)*
Versions and Archs
License: DFSG free
Git
Please cite: Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reye, Bogdan Gavrilović, Carole Goble and The CWL Community: Methods included: standardizing computational reuse and portability with the Common Workflow Language. Communications of the ACM 65(6):54-63 (2022)
Registry entries: SciCrunch  Bioconda 
dcmtk
??? missing short description for package dcmtk :-(
Versions of package dcmtk
ReleaseVersionArchitectures
trixie3.6.9-5amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
bookworm3.6.7-9~deb12u3amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
forky3.7.0+really3.7.0-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
sid3.7.0+really3.7.0-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bullseye-security3.6.5-1+deb11u6amd64,arm64,armhf,i386
bullseye3.6.5-1amd64,arm64,armhf,i386
Debtags of package dcmtk:
interfacecommandline
roleprogram
scopeutility
useconverting, downloading
works-withimage, image:raster
Popcon: 103 users (39 upd.)*
Versions and Archs
License: DFSG free
Git
Please cite: Chung-Yueh Lien, Michael Onken, Marco Eichelberg, Tsair Kao and Andreas Hein: Open Source Tools for Standardized Privacy Protection of Medical Images. (eprint) Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7967:79670M-79670M (2011)
delly
??? missing short description for package delly :-(
Versions of package delly
ReleaseVersionArchitectures
sid1.7.2-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky1.7.2-2amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm1.1.6-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye0.8.7-1amd64,arm64,armhf,i386
trixie1.1.8-1amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
upstream2.0.0
Popcon: 7 users (35 upd.)*
Newer upstream!
License: DFSG free
Git
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)
Registry entries: Bio.tools  SciCrunch  Bioconda 
dextractor
??? missing short description for package dextractor :-(
Versions of package dextractor
ReleaseVersionArchitectures
bullseye1.0-4amd64,arm64,armhf,i386
forky1.0-7amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
sid1.0-7amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
bookworm1.0-6amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
trixie1.0-6amd64,arm64,armel,armhf,i386,ppc64el,riscv64,s390x
Popcon: 7 users (35 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bioconda 
diamond-aligner
??? missing short description for package diamond-aligner :-(
Versions of package diamond-aligner
ReleaseVersionArchitectures
forky2.1.14-1amd64,arm64,loong64,ppc64el,riscv64,s390x
bookworm2.1.3-1amd64,arm64,ppc64el,s390x
sid2.1.14-1amd64,arm64,loong64,ppc64el,riscv64,s390x
bullseye2.0.7-1amd64,arm64
trixie2.1.11-2amd64,arm64,ppc64el,riscv64,s390x
upstream2.2.0
Popcon: 5 users (39 upd.)*
Newer upstream!
License: DFSG free
Git
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)
Registry entries: Bio.tools  SciCrunch  Bioconda 
discosnp
??? missing short description for package discosnp :-(
Versions of package discosnp
ReleaseVersionArchitectures
sid2.6.2-5amd64,arm64,loong64,ppc64el,riscv64
bullseye4.4.4-1amd64,arm64,i386
bookworm2.6.2-2amd64,arm64,mips64el,ppc64el
trixie2.6.2-4amd64,arm64,ppc64el,riscv64
forky2.6.2-5amd64,arm64,loong64,ppc64el,riscv64
Popcon: 7 users (35 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bio.tools  SciCrunch  Bioconda 
drop-seq-tools
??? missing short description for package drop-seq-tools :-(
Versions of package drop-seq-tools
ReleaseVersionArchitectures
bookworm2.5.2+dfsg-1all
forky3.0.2+dfsg-2all
sid3.0.2+dfsg-2all
trixie3.0.2+dfsg-1all
bullseye2.4.0+dfsg-6all
Popcon: 5 users (34 upd.)*
Versions and Archs
License: DFSG free
Git
Registry entries: Bioconda 
fasta3
??? missing short description for package fasta3 :-(
Versions of package fasta3
ReleaseVersionArchitectures
bookworm36.3.8i.14-Nov-2020-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
bullseye36.3.8h.2020-02-11-3amd64,arm64,armhf,i386
sid36.3.8i.14-Nov-2020-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
forky36.3.8i.14-Nov-2020-4amd64,arm64,armhf,i386,loong64,ppc64el,riscv64,s390x
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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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fastp
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fastqc
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filtlong
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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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Please cite: Erik Garrison and Gabor Marth: Haplotype-based variant detection from short-read sequencing. (eprint) arXiv (2012)
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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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gffread
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ginkgocadx
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gnumed-client
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gnumed-server
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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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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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imagej
??? missing short description for package imagej :-(
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Please cite: Caroline A Schneider, Wayne S Rasband and Kevin W Eliceiri: NIH Image to ImageJ: 25 years of image analysis. (PubMed,eprint) Nature methods 9:671-675 (2012)
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ivar
??? missing short description for package ivar :-(
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Please cite: Nathan D. Grubaugh, Karthik Gangavarapu, Joshua Quick, Nathaniel L. Matteson, Jaqueline Goes De Jesus, Bradley J. Main, Amanda L. Tan, Lauren M. Paul, Doug E. Brackney, Saran Grewal, Nikos Gurfield, Koen K. A. Van Rompay, Sharon Isern, Scott F. Michael, Lark L. Coffey, Nicholas J. Loman and Kristian G. Andersen: An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar. (PubMed,eprint) Genome Biology 20(1):8 (2019)
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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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kraken2
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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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Please cite: Antoine Limasset, Guillaume Rizk, Rayan Chikhi and Pierre Peterlongo: Fast and scalable minimal perfect hashing for massive key sets. HAL-Inria (2017)
libchipcard-dev
??? missing short description for package libchipcard-dev :-(
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libgclib-dev
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libgdcm-tools
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Please cite: David Rodríguez González, Trevor Carpenter, Jano I. van Hemert and Joanna Wardlaw: An open source toolkit for medical imaging de-identification. (PubMed,eprint) European Radiology 20(8):1896-1904 (2010)
libhtscodecs-dev
??? missing short description for package libhtscodecs-dev :-(
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libics-dev
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libmaus2-dev
??? missing short description for package libmaus2-dev :-(
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libmilib-java
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libseqan3-dev
??? missing short description for package libseqan3-dev :-(
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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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lighter
??? missing short description for package lighter :-(
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lumpy-sv
??? missing short description for package lumpy-sv :-(
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The package is enhanced by the following packages: lumpy-sv-examples
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)
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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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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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
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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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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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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muscle
??? missing short description for package muscle :-(
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biologyformat:aln, nuceleic-acids, peptidic
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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
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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
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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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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ncbi-blast+
??? missing short description for package ncbi-blast+ :-(
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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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nthash
??? missing short description for package nthash :-(
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Please cite: Hamid Mohamadi, Justin Chu, Benjamin P. Vandervalk and Inanc Birol: ntHash: recursive nucleotide hashing. (PubMed,eprint) Bioinformatics 32(22):3492-3494 (2016)
odil
??? missing short description for package odil :-(
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orthanc
??? missing short description for package orthanc :-(
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Please cite: Sébastien Jodogne: The Orthanc Ecosystem for Medical Imaging. (PubMed,eprint) Journal of Digital Imaging 31(3):341–352 (2018)
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VersionURL
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/26300
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/26105
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/23986
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25361
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/26107
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/26106
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24778
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25105
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24271
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25360
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24270
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/23295
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25359
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24708
https://screenshots.debian.net/screenshot/orthanc/10544
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24707
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/24799
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25362
1.9.7+dfsghttps://screenshots.debian.net/screenshot/orthanc/25317
Screenshots of package orthanc
orthanc-dicomweb
??? missing short description for package orthanc-dicomweb :-(
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Please cite: Sebastien Jodogne: The Orthanc Ecosystem for Medical Imaging. J Digit Imaging (2018)
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VersionURL
1.7+dfsghttps://screenshots.debian.net/screenshot/orthanc-dicomweb/24024
Screenshots of package orthanc-dicomweb
orthanc-python
??? missing short description for package orthanc-python :-(
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Please cite: Sebastien Jodogne: The Orthanc Ecosystem for Medical Imaging. J Digit Imaging (2018)
orthanc-wsi
??? missing short description for package orthanc-wsi :-(
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Please cite: Sebastien Jodogne: The Orthanc Ecosystem for Medical Imaging. J Digit Imaging (2018)
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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parallel-fastq-dump
??? missing short description for package parallel-fastq-dump :-(
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parasail
??? missing short description for package parasail :-(
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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
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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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pinfish
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plasmidid
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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
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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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porechop
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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
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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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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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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)
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)
pybedtools-bin
??? missing short description for package pybedtools-bin :-(
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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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pycoqc
??? missing short description for package pycoqc :-(
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python3-biom-format
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Please cite: Daniel McDonald, Jose C. Clemente, Justin Kuczynski, Jai R. Rideout, Jesse Stombaugh, Doug Wendel, Andreas Wilke, Susan Huse, John Hufnagle, Folker Meyer, Rob Knight and J. G. Caporaso: The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome. (eprint) GigaScience 1:7 (2012)
python3-biopython
??? missing short description for package python3-biopython :-(
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Please cite: Peter J. A. Cock, Tiago Antao, Jeffrey T. Chang, Brad A. Chapman, Cymon J. Cox, Andrew Dalke, Iddo Friedberg, Thomas Hamelryck, Frank Kauff, Bartek Wilczynski and Michiel J. L. de Hoon: Biopython: freely available Python tools for computational molecular biology and bioinformatics. (PubMed,eprint) Bioinformatics 25(11):1422-1423 (2009)
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python3-bx
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python3-cgecore
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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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python3-cooler
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The package is enhanced by the following packages: python3-cooler-examples
Please cite: Nezar Abdennur and Leonid A Mirny: Cooler: scalable storage for Hi-C data and other genomically labeled arrays. (PubMed) Bioinformatics 36(1):311–316 (2019)
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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-depinfo
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python3-drmaa
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python3-etelemetry
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python3-gffutils
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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-nanoget
??? missing short description for package python3-nanoget :-(
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python3-nanomath
??? missing short description for package python3-nanomath :-(
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python3-pairix
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python3-pairtools
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python3-pbcommand
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python3-pbcore
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python3-pyani
??? missing short description for package python3-pyani :-(
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Please cite: Leighton Pritchard, Rachel H. Glover, Sonia Humphris, John G. Elphinstone and Ian K. Toth: Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens. (eprint) Anal. Methods 8(1):12-24 (2016)
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python3-pychopper
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python3-pydicom
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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-pynn
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python3-pysam
??? missing short description for package python3-pysam :-(
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The package is enhanced by the following packages: python-pysam-tests
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python3-questplus
??? missing short description for package python3-questplus :-(
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python3-scitrack
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python3-screed
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python3-seirsplus
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python3-streamz
??? missing short description for package python3-streamz :-(
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python3-tinyalign
??? missing short description for package python3-tinyalign :-(
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python3-toolz
??? missing short description for package python3-toolz :-(
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python3-torch
??? missing short description for package python3-torch :-(
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Please cite: Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai and Soumith Chintala:
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python3-tornado
??? missing short description for package python3-tornado :-(
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python3-treetime
??? missing short description for package python3-treetime :-(
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python3-vcf
??? missing short description for package python3-vcf :-(
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q2-cutadapt
??? missing short description for package q2-cutadapt :-(
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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-feature-table
??? missing short description for package q2-feature-table :-(
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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-quality-filter
??? missing short description for package q2-quality-filter :-(
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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)
qcat
??? missing short description for package qcat :-(
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The package is enhanced by the following packages: qcat-examples
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quicktree
??? missing short description for package quicktree :-(
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r-bioc-htsfilter
??? missing short description for package r-bioc-htsfilter :-(
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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-mutationalpatterns
??? missing short description for package r-bioc-mutationalpatterns :-(
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r-bioc-pwmenrich
??? missing short description for package r-bioc-pwmenrich :-(
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r-bioc-rcpi
??? missing short description for package r-bioc-rcpi :-(
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Please cite: Dong-Sheng Cao, Nan Xiao, Qing-Song Xu and Alex F. Chen: Rcpi: R/Bioconductor package to generate various descriptors of proteins, compounds and their interactions. Bioinformatics 31(2):279-281 (2015)
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r-bioc-rgsepd
??? missing short description for package r-bioc-rgsepd :-(
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r-bioc-rsamtools
??? missing short description for package r-bioc-rsamtools :-(
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r-bioc-tcgabiolinks
??? missing short description for package r-bioc-tcgabiolinks :-(
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r-cran-alakazam
??? missing short description for package r-cran-alakazam :-(
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r-cran-covid19us
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r-cran-diagnosismed
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r-cran-epi
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Please cite: Martyn Plummer and Bendix Carstensen: Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up. Journal of Statistical Software 38(5):1-12 (2011)
r-cran-epibasix
??? missing short description for package r-cran-epibasix :-(
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r-cran-epicalc
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r-cran-epiestim
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r-cran-epir
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r-cran-epitools
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r-cran-hms
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r-cran-incidence
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r-cran-kernelheaping
??? missing short description for package r-cran-kernelheaping :-(
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r-cran-lexrankr
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Please cite: Güneş Erkan and Dragomir R. Radev: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. (eprint) Journal of Artific Intelligence Research 22:457-479 (2004)
r-cran-mediana
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r-cran-msm
??? missing short description for package r-cran-msm :-(
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Please cite: Christopher H. Jackson: Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software 38(8):1-29 (2011)
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-seroincidence
??? missing short description for package r-cran-seroincidence :-(
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Please cite: PFM Teunis, JCH van Eijkeren, CW Ang, YTHP van Duynhoven, JB Simonsen, MA Strid and W van Pelt: Biomarker dynamics: estimating infection rates from serological data. (PubMed) Statistics in Medicine 31(20):2240–2248 (2012)
r-cran-sf
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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-sjplot
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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-stringi
??? missing short description for package r-cran-stringi :-(
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Please cite: Marek Gagolewski, Bartlomiej Tartanus, Oliver Keyes and Marcin Pawel Bujarski: R package stringi: Character string processing facilities. zenodo (2015)
r-cran-surveillance
??? missing short description for package r-cran-surveillance :-(
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Please cite: Maëlle Salmon, Dirk Schumacher and Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance. Journal of Statistical Software 70(10):1-35 (2016)
r-cran-tigger
??? missing short description for package r-cran-tigger :-(
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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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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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readucks
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recan
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rna-star
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The package is enhanced by the following packages: multiqc
Please cite: Alexander Dobin, Carrie A. Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson and Thomas R. Gingeras: STAR: ultrafast universal RNA-seq aligner. (PubMed,eprint) Bioinformatics 29(1):15-21 (2012)
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Topics: Sequence analysis
rsem
??? missing short description for package rsem :-(
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The package is enhanced by the following packages: multiqc
Please cite: Bo Li and Colin Dewey: RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. (PubMed,eprint) BMC Bioinformatics 12(1):323 (2011)
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ruby-bio
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salmon
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The package is enhanced by the following packages: multiqc
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samblaster
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The package is enhanced by the following packages: multiqc
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
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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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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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sepp
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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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shapeit4
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The package is enhanced by the following packages: shapeit4-example
Please cite: Olivier Delaneau, Jean-Francois Zagury, Matthew R Robinson, Jonathan L Marchini and Emmanouil T Dermitzakis: Accurate, scalable and integrative haplotype estimation. (eprint) Nature Communications (2019)
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shiny-server
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shovill
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smrtanalysis
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snakemake
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Please cite: Johannes Köster and Sven Rahmann: Snakemake-a scalable bioinformatics workflow engine. Bioinformatics (2012)
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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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snpsift
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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
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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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sumaclust
??? missing short description for package sumaclust :-(
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texlive-science
??? missing short description for package texlive-science :-(
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Other screenshots of package texlive-science
VersionURL
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2025.20260124https://screenshots.debian.net/screenshot/texlive-science/29133
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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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tipp
??? missing short description for package tipp :-(
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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
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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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trinculo
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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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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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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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workrave
??? missing short description for package workrave :-(
Maintainer: Francois Marier
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wtdbg2
??? missing short description for package wtdbg2 :-(
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The package is enhanced by the following packages: wtdbg2-examples
Please cite: Jue Ruan and Heng Li: Fast and accurate long-read assembly with wtdbg2. (PubMed,eprint) naturemethods 17(2):155-158 (2020)
yanagiba
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yanosim
??? missing short description for package yanosim :-(
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Official Debian packages with lower relevance

libsimde-dev
??? missing short description for package libsimde-dev :-(
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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-mmtf
??? missing short description for package python3-mmtf :-(
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r-bioc-rsubread
??? missing short description for package r-bioc-rsubread :-(
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Please cite: Yang Liao, Gordon K Smyth and Wei Shi: The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads,. (eprint) Nucleic Acids Research 47(8):e47 (2019)
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Debian packages in contrib or non-free

python3-seqcluster
??? missing short description for package python3-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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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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vienna-rna
??? missing short description for package vienna-rna :-(
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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

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.

auspice
web app for visualizing pathogen evolution
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Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. We provide a continually- updated view of publicly available data with powerful analytics and visualizations showing pathogen evolution and epidemic spread. Our goal is to aid epidemiological understanding and improve outbreak response.

Remark of Debian Med team: That's a nodejs package. Unfortunately lots of preconditions are missing

Comments welcome whether it makes sense to package about 20 nodejs packages. A list can be found as "debian/TODO" or as comments in debian/control in Salsa.

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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chime
COVID-19 Hospital Impact Model for Epidemics
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Penn Medicine - COVID-19 Hospital Impact Model for Epidemics

This tool was developed by the Predictive Healthcare team at Penn Medicine. For questions and comments please see our contact page. Code can be found on Github. Join our Slack channel if you would like to get involved!

The estimated number of currently infected individuals is 533. The 91 confirmed cases in the region imply a 17% rate of detection. This is based on current inputs for Hospitalizations (4), Hospitalization rate (5%), Region size (4119405), and Hospital market share (15%).

An initial doubling time of 6 days and a recovery time of 14.0 days imply an R_0 of 2.71.

Mitigation: A 0% reduction in social contact after the onset of the outbreak reduces the doubling time to 6.0 days, implying an effective R_t of 2.712.712.71.

Remark of Debian Med team: Needs streamlit (see below)
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.

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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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
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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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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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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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)
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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)
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nextflow
DSL for data-driven computational pipelines
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Nextflow is a bioinformatics workflow manager that enables the development of portable and reproducible workflows. It supports deploying workflows on a variety of execution platforms including local, HPC schedulers, AWS Batch, Google Genomics Pipelines, and Kubernetes. Additionally, it provides support for manage your workflow dependencies through built-in support for Conda, Docker, Singularity, and Modules.

Please cite: Paolo Di Tommaso, Maria Chatzou, Evan W Floden, Pablo Prieto Barja, Emilio Palumbo and Cedric Notredame: Nextflow enables reproducible computational workflows. (PubMed,eprint) Nature Biotechnology 35(4):316-319 (2017)
nextstrain-ncov
Nextstrain build for novel coronavirus (nCoV)
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This is a Nextstrain build for novel coronavirus, alternately known as hCoV-19 or SARS-CoV-2, visible at https://nextstrain.org/ncov .

Remark of Debian Med team: needs auspice
nf-core-artic
nf-core ARTIC field bioinformatics viral genome pipeline
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RNA-seq workflow for nextflow, meant to form a a bioinformatics pipeline for working with virus sequencing data sequenced with nanopore. This is a reimplementation for the nextflow workflow suite of the ARTIC fieldbioinformatics protocol.

This package at the very moment is not much more than a technical exercise. Upstream tagged it as "under development" - and that is what it is here, too.

Please cite: Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso and Sven Nahnsen.: The nf-core framework for community-curated bioinformatics pipelines. Nat Biotechnol. (2020)
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)
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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)
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.

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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.
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python3-idseq-dag
Pipeline engine for IDseq (Python 3)
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Idseq_dag is the pipeline execution engine for idseq (see idseq.net). It is a pipelining system that implements a directed acyclic graph (DAG) where the nodes (steps) correspond to individual python classes. The graph is defined using JSON.

The pipeline would be executed locally with local machine resources. idseq-dag could be installed inside a docker container and run inside the container.

This package installs the library for Python 3.

python3-scanpy
Single-Cell Analysis in Python
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Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

Please cite: F. Alexander Wolf, Philipp Angerer and Fabian J. Theis: SCANPY: large-scale single-cell gene expression data analysis. (eprint) Genome Biology 19(15) (2018)
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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)
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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)
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r-cran-covid19
GNU R Coronavirus COVID-19 data acquisition and visualization
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This GNU R package provides pre-processed, ready-to-use, tidy format datasets of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. The latest data are downloaded in real-time, processed and merged with demographic indicators from several trusted sources. The package implements advanced data visualization across the space and time dimensions by means of animated mapping. Besides worldwide data, the package includes granular data for Italy, Switzerland and the Diamond Princess.

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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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.

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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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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streamlit
fast way to build custom ML tools
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Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file. No need to mess with HTTP requests, HTML, JavaScript, etc. All you need is your favorite editor and a browser.

Remark of Debian Med team: Help is urgently needed - no idea how to package this :-(

This is a machine learning framework which is required by chime. Needs python3-tensorflow

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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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
vadr
classification and annotation of viral sequences
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VADR (Viral Annotation DefineR) is a suite of tools for classifying and analyzing sequences homologous to a set of reference models of viral genomes or gene families. It has been mainly tested for analysis of Norovirus and Dengue virus sequences in preparation for submission to the GenBank database and finds its application also for the ongoing pandemics.

Please cite: Alejandro A Schäffer, Eneida L Hatcher, Linda Yankie, Lara Shonkwiler, J Rodney Brister, Ilene Karsch-Mizrachi and Eric P Nawrocki: VADR: validation and annotation of virus sequence submissions to GenBank. (eprint) bioRxiv (2020)
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