Debian Med Project
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Summary
Biology development
Debian Med packages for development of bioinformatics applications

This metapackage will install Debian packages which might be helpful for development of applications for biological research.

Description

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

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

Links to other tasks

Debian Med Biology development packages

Official Debian packages with high relevance

Bio-tradis
analyse the output from TraDIS analyses of genomic sequences
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Bio-Tradis contains a set of tools to analyse the output from TraDIS analyses.

The Bio-Tradis analysis pipeline is implemented as an extensible Perl library which can either be used as is, or as a basis for the development of more advanced analysis tools.

Please note: You need to manually install BioConductor Edger which can not be distributed by Debian in recent version since it is using non-distributable code locfit.

Please cite: Lars Barquist, Matthew Mayho, Carla Cummins, Amy K. Cain, Christine J. Boinett, Andrew J. Page, Gemma C. Langridge, Michael A. Quail, Jacqueline A. Keane and Julian Parkhill: The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries. (PubMed,eprint) Bioinformatics 32(7):1109-1111 (2016)
Registry entries: Bio.Tools  SciCrunch  OMICtools  bioconda 
Bioperl
Perl tools for computational molecular biology
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The Bioperl project is a coordinated effort to collect computational methods routinely used in bioinformatics into a set of standard CPAN-style, well-documented, and freely available Perl modules. It is well-accepted throughout the community and used in many high-profile projects, e.g., Ensembl.

The recommended packages are needed to run some of the included binaries, for a detailed explanation including the specific Perl modules please see README.Debian.

The suggested package enhances the manual pages.

Please cite: Jason E Stajich, David Block, Kris Boulez, Steven E Brenner, Stephen A Chervitz, Chris Dagdigian, Georg Fuellen, James G R Gilbert, Ian Korf, Hilmar Lapp, Heikki Lehvaslaiho, Chad Matsalla, Chris J Mungall, Brian I Osborne, Matthew R Pocock, Peter Schattner, Martin Senger, Lincoln D Stein, Elia Stupka, Mark D Wilkinson and Ewan Birney: The Bioperl toolkit: Perl modules for the life sciences. (PubMed,eprint) Genome Res. 12(10):1611-1618 (2002)
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Bioperl-run
BioPerl wrappers: scripts
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Contains scripts from the BioPerl-Run package. This package will also install all wrappable applications packaged in Debian. The ones that are not Free are "Suggested" by this package.

The package is enhanced by the following packages: clustalw exonerate kalign mcl phyml
Biosquid
utilities for biological sequence analysis
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SQUID is a library of C code functions for sequence analysis. It also includes a number of small utility programs to convert, show statistics, manipulate and do other functions on sequence files.

The original name of the package is "squid", but since there is already a squid on the archive (a proxy cache), it was renamed to "biosquid".

This package contains some tools to demonstrate the features of the SQUID library.

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Cwltool
Common Workflow Language reference implementation
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This is the reference implementation of the Common Workflow Language standards.

The CWL open standards are for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, Physics, and Chemistry.

The CWL reference implementation (cwltool) is intended to be feature complete and to provide comprehensive validation of CWL files as well as provide other tools related to working with CWL descriptions.

Please cite: Peter Amstutz, Michael R. Crusoe, Nebojša Tijanić, Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes and Luka Stojanovic: Common Workflow Language, v1.0. (2016)
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Gffread
GFF/GTF format conversions, region filtering, FASTA sequence extraction
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Gffread is a GFF/GTF parsing utility providing format conversions, region filtering, FASTA sequence extraction and more.

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Libace-perl
Object-Oriented Access to ACEDB Databases
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AcePerl is an object-oriented Perl interface for the AceDB database. It provides functionality for connecting to remote AceDB databases, performing queries, fetching ACE objects, and updating databases. The programmer's API is compatible with the JADE Java API, and interoperable with the API used by BoulderIO.

AceDB is a genome database system developed since 1989 primarily by Jean Thierry-Mieg (CNRS, Montpellier) and Richard Durbin (Sanger Institute). It was originally developed for the C.elegans genome project , from which its name was derived (A C. elegans DataBase).

Please cite: Lincoln D. Stein and Jean Thierry-Mieg: Scriptable Access to the Caenorhabditis elegans Genome Sequence and Other ACEDB Databases. (PubMed,eprint) Genome Research 8(12):1308-1315 (1998)
Libai-fann-perl
Perl wrapper for the FANN library
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This module provides a Perl wrapper for the Fast Artificial Neural Network (FANN) library (http://leenissen.dk/fann/wp/).

The AI::FANN object oriented interface provides an almost direct map to the C library API.

Libbambamc-dev
Development files for reading and writing BAM (genome alignment) files
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The BAM Format is a binary format for storing sequence data. This is a lightweight C implementation of the read name collation code from the larger bambam C++ project to handle BAM file input and BAM file output.

This package contains the static library and header files.

Libbamtools-dev
C++ API for manipulating BAM (genome alignment) files
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BamTools facilitates research analysis and data management using BAM files. It copes with the enormous amount of data produced by current sequencing technologies that is typically stored in compressed, binary formats that are not easily handled by the text-based parsers commonly used in bioinformatics research.

BamTools provides both a C++ API for BAM file support as well as a command-line toolkit.

This is the developers API package.

Please cite: Derek W. Barnett, Erik K. Garrison, Aaron R. Quinlan, Michael P. Stromberg and Gabor T. Marth: BamTools: a C++ API and toolkit for analyzing and managing BAM files. (PubMed,eprint) Bioinformatics 27(12):1691-2 (2011)
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Libbigwig-dev
C library for handling bigWig files - header files
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This package provides the files needed to develop with the libBigWig C library for reading/parsing local and remote bigWig and bigBed files.

Libbio-asn1-entrezgene-perl
parser for NCBI Entrez Gene and NCBI Sequence records
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Bio::ASN1::EntrezGene and Bio::ASN1::Sequence are regular expression-based parsers for NCBI Entrez Gene genome databases (http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene).

They parse ASN.1-formatted Entrez Gene records and NCBI sequences, returning data structures that contain all data items from the gene records or the sequence records.

The parser will report error & line number if input data does not conform to the NCBI Entrez Gene genome or NCBI Sequence annotation file format.

Bio::ASN1::Sequence is basically a modified version of the high-performance Bio::ASN1::EntrezGene parser. However this standalone module exists since it is more efficient to keep Sequence-specific code out of EntrezGene.pm.

Libbio-chado-schema-perl
DBIx::Class layer for the Chado database schema
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The module Bio::Chado::Schema is a standard object-relational mapping layer for use with the GMOD Chado database schema. Chado is an open-source modular database schema for biological data.

Libbio-coordinate-perl
BioPerl modules for working with biological coordinates
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The Bioperl project is a coordinated effort to collect computational methods routinely used in bioinformatics into a set of standard CPAN-style, well-documented, and freely available Perl modules.

Since BioPerl version 1.7 several modules where split into separate projects. This package provides the Bio::Coordinate module for working with biological coordinates.

Libbio-das-lite-perl
implementation of the BioDas protocol
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Bio::Das::Lite is an implementation of the BioDas protocol for the retrieval of biological data from XML sources over HTTP.

Bio::Das::Lite is designed as a lightweight and more forgiving alternative to the client/retrieval/parsing components of Bio::Das. Bio::Das::Lite itself is not a drop-in replacement for Bio::Das but it can be subclassed to do so.

Libbio-eutilities-perl
BioPerl interface to the Entrez Programming Utilities (E-utilities)
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The Bioperl project is a coordinated effort to collect computational methods routinely used in bioinformatics into a set of standard CPAN-style, well-documented, and freely available Perl modules. This package provides a programmatic interface to NCBI's Entrez Programming Utilities commonly referred to as E-utilities. Namely, it provides the Bio::DB::EUtilities and Bio::Tools::EUtilities perl modules.

Entrez is a federated search engine at the National Center for Biotechnology Information (NCBI) for a large number of databases covering a variety of biomedical data, including nucleotide and protein sequences, gene records, three-dimensional molecular structures, and the biomedical literature. E-utilities are a set of eight server-side programs that provide a stable interface into the Entrez query and database system at the National Center for Biotechnology Information (NCBI).

Libbio-graphics-perl
Generate GD images of Bio::Seq objects
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The Bio::Graphics::Panel class provides drawing and formatting services for any object that implements the Bio::SeqFeatureI interface, including Ace::Sequence::Feature, Das::Segment::Feature and Bio::DB::Graphics objects. It can be used to draw sequence annotations, physical (contig) maps, protein domains, or any other type of map in which a set of discrete ranges need to be laid out on the number line.

Libbio-mage-perl
Container module for classes in the MAGE package: MAGE
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MAGE-TAB (MicroArray Gene Expression Tabular) format is a standard from the Microarray Gene Expression Data Society (MGED). This package contains Perl modules in the Bio::MAGE hierarchy to manipulate MIAME-compliant (Minimum Information About a Microarray Experiment) records of microarray ("DNA chips") experiments.

The Bio::MAGE module contains the following Bio::MAGE classes:

  • NameValueType
  • Extendable
  • Identifiable
  • Describable
Libbio-mage-utils-perl
Extra modules for classes in the MAGE package: MAGE
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MAGE-TAB (MicroArray Gene Expression Tabular) format is a standard from the Microarray Gene Expression Data Society (MGED). This package contains Perl modules in the Bio::MAGE hierarchy to manipulate MIAME-compliant (Minimum Information About a Microarray Experiment) records of microarray ("DNA chips") experiments.

Bio-MAGE-Utils contains extra modules for handling MAGE XML and MGED ontology, as well as SQL utilities.

Libbio-primerdesigner-perl
Perl module to design PCR primers using primer3 and epcr
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Bio::PrimerDesigner provides a low-level interface to the primer3 and epcr binary executables and supplies methods to return the results. In addition to accessing local installations of primer3 or e-PCR, it also offers the ability to accessing the primer3 binary via a remote server.

Libbio-samtools-perl
Perl interface to SamTools library for DNA sequencing
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Bio::SamTools provides a Perl interface to the libbam library for indexed and unindexed SAM/BAM sequence alignment databases. It provides support for retrieving information on individual alignments, read pairs, and alignment coverage information across large regions. It also provides callback functionality for calling SNPs and performing other base-by-base functions. Most operations are compatible with the BioPerl Bio::SeqFeatureI interface, allowing BAM files to be used as a backend to the GBrowse genome browser application.

Libbio-scf-perl
Perl extension for reading and writing SCF sequence files
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The Bio::SCF (Standard Chromatogram Format) module allows you to read and update (in a restricted way) SCF chromatographic sequence files. It is an interface to Roger Staden's io-lib. It has both tied hash and an object-oriented interfaces. It provides the ability to read fields from SCF files and limited ability to modify them and write them back.

Libbio-tools-phylo-paml-perl
Bioperl interface to the PAML suite
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This distribution provides a Perl interface to PAML, a suite of programs (baseml, codeml, evolver, and yn00) for phylogenetic analyses of DNA or protein sequences using maximum likelihood.

The Bio::Tools::Run::Phylo::PAML::* modules provide an interface to run the PAML programs while Bio::Tools::Phylo::PAML provides an interface to parse their output files.

This distribution is part of the Bioperl project.

Libbio-tools-run-alignment-clustalw-perl
Bioperl interface to Clustal W
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Bio::Tools::Run::Alignment::Clustalw provides a Perl interface to Clustal W, a program for alignment of multiple nucleotide and peptide sequences.

This module distribution is part of the Bioperl project.

Libbio-tools-run-alignment-tcoffee-perl
Bioperl interface to T-Coffee
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Bio::Tools::Run::Alignment::TCoffee provides a Perl interface to T-Coffee, a program for multiple alignments of DNA, RNA, and protein sequences and structures.

This module distribution is part of the Bioperl project.

Libbiococoa-dev
Bioinformatics framework for GNUstep and Cocoa (development files)
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BioCocoa is an open source Cocoa framework for bioinformatics. It intends to provide Cocoa programmers with a full suite of tools for handling and manipulating biological sequences. Cocoa is a great framework for rapid application development and it is therefore often used to create innovative bioscientific apps. To speed up development even more, BioCocoa wants to offer reusable Cocoa classes that are specific for molecular biology and biofinformatics. At this time, BioCocoa offers model classes for biological sequences, controller classes for alignment, sequence manipulation and I/O, interfacing with ENTREZ and view classes that let you easily display and work with sequences in your own applications.

This package contains the development files, documentation and examples for developing GNUstep applications using the BioCocoa framework.

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Libbiod-dev
bioinformatics library in D (development files)
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BioD is a fast and memory efficient bioinformatics library written in the D programming language. BioD aims to:

  • Provide a platform for writing high-performance bioinformatics applications in D. BioD achieves this by:
  • automatic parallelization of tasks where possible for example reading and writing BAM files.
  • reducing the GC overhead by avoiding unnecessary memory allocations
  • Offer support for manipulating common biological data formats.
  • Write clear documented and maintainable codebase.

This package contains the include files for development.

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Libbiojava-java
Java API to biological data and applications (default version)
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BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It includes objects for manipulating sequences, file parsers, DAS client and server support, access to BioSQL and Ensembl databases, and powerful analysis and statistical routines including a dynamic programming toolkit.

BioJava is provided by a vibrant community which meets annually at the Bioinformatics Open Source Conference (BOSC) that traditionally accompanies the Intelligent Systems in Molecular Biology (ISMB) meeting. Much like BioPerl, the employment of this library is valuable for everybody active in the field because of the many tricks of the trade one learns just by communicating on the mailing list.

This is a wrapper package which should enable smooth upgrades to new versions.

Please cite: R. C. G. Holland, T. Down, M. Pocock, A. Prlićand D. Huen, K. James, S. Foisy, A. Dräger, A. Yates, M. Heuer and M. J. Schreiber: BioJava: an Open-Source Framework for Bioinformatics. (PubMed,eprint) Bioinformatics 24(18):2096-2097 (2008)
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Libbiojava4-java
Java API to biological data and applications (default version)
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BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It includes objects for manipulating sequences, file parsers, server support, access to BioSQL and Ensembl databases, and powerful analysis and statistical routines including a dynamic programming toolkit.

BioJava is provided by a vibrant community which meets annually at the Bioinformatics Open Source Conference (BOSC) that traditionally accompanies the Intelligent Systems in Molecular Biology (ISMB) meeting. Much like BioPerl, the employment of this library is valuable for everybody active in the field because of the many tricks of the trade one learns just by communicating on the mailing list.

This is a wrapper package which should enable smooth upgrades to new versions.

Libbioparser-dev
library for parsing several formats in bioinformatics
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Bioparser is a c++ implementation of parsers for several bioinformatics formats. It consists of only one header file containing template parsers for FASTA, FASTQ, MHAP, PAF and SAM format. It also supports compressed files with gzip.

Libblasr-dev
tools for aligning PacBio reads to target sequences (development files)
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Blasr_libcpp is a library used by blasr and other executables such as samtoh5, loadPulses for analyzing PacBio sequences. This library contains three sub-libraries, including pbdata, hdf and alignment.

This package contains the header files and static library for the alignment sublibrary.

Libbpp-core-dev
Bio++ Core library development files
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of the Bio++ core classes.

Libbpp-phyl-dev
Bio++ Phylogenetic library development files
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of the Bio++ classes for phylogenetics.

Libbpp-phyl-omics-dev
Bio++ Phylogenetics library: genomics components (development files)
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of the Bio++ classes dedicated to genomic phylogeny.

Libbpp-popgen-dev
Bio++ Population Genetics library development files
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of the Bio++ Population Genetics classes.

Libbpp-qt-dev
Bio++ Qt Graphic classes library development files
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

Contains development files of the Bio++ graphical classes developed with Qt.

Libbpp-raa-dev
Bio++ Remote Acnuc Access library development files
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This library contains utilitary and classes to query public databases (GenBank, EMBL, SwissProt, etc) using acnuc. It is part of the Bio++ project.

This package contains header files and static library.

Libbpp-seq-dev
Bio++ Sequence library development files
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of Bio++ classes for sequence analysis classes.

Libbpp-seq-omics-dev
Bio++ Sequence library: genomics components (development files)
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Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. Bio++ is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

This package contains the static library and the header files of the Bio++ classes dedicated to genomic sequencing.

Libchado-perl
database schema and tools for genomic data
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Chado is a relational database schema that underlies many GMOD installations. It is capable of representing many of the general classes of data frequently encountered in modern biology such as sequence, sequence comparisons, phenotypes, genotypes, ontologies, publications, and phylogeny. It has been designed to handle complex representations of biological knowledge and should be considered one of the most sophisticated relational schemas currently available in molecular biology. The price of this capability is that the new user must spend some time becoming familiar with its fundamentals.

Libconsensuscore-dev
algorithms for PacBio multiple sequence consensus -- development files
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ConsensusCore is a library of C++ algorithms for Pacific Biosciences multiple sequence consensus that powers Quiver (Python) and ConsensusTools (.NET). This library primarily exists as the backend for GenomicConsensus, which implements Quiver.

This package is part of the SMRT Analysis suite. It provides the header files and static library.

Libdivsufsort-dev
libdivsufsort header files
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The libdivsufsort project provides a fast, lightweight, and robust C API library to construct the suffix array and the Burrows-Wheeler transformed string for any input string of a constant-size alphabet.

This package installs files needed for development.

Libedlib-dev
library for sequence alignment using edit distance (devel)
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A lightweight and super fast C/C++ library for sequence alignment using edit distance.

Calculating edit distance of two strings is as simple as:

 edlibAlign("hello", 5, "world!", 6,
            edlibDefaultAlignConfig()).editDistance;
Features
  • Calculates edit distance (Levehnstein distance).
  • It can find optimal alignment path (instructions how to transform first sequence into the second sequence).
  • It can find just the start and/or end locations of alignment path - can be useful when speed is more important than having exact alignment path.
  • Supports multiple alignment methods: global(NW), prefix(SHW) and infix(HW), each of them useful for different scenarios.
  • You can extend character equality definition, enabling you to e.g. have wildcard characters, to have case insensitive alignment or to work with degenerate nucleotides.
  • It can easily handle small or very large sequences, even when finding alignment path, while consuming very little memory.
  • Super fast thanks to Myers's bit-vector algorithm.

This package contains the static library and the header files.

Libfast5-dev
library for reading Oxford Nanopore Fast5 files -- headers
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A lightweight C++11 library to read raw signal data from Oxford Nanopore's FAST5 files.

This package provides the header files for development with fast5.

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Libfastahack-dev
library for indexing and sequence extraction from FASTA files (devel)
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fastahack is a small application for indexing and extracting sequences and subsequences from FASTA files. The included Fasta.cpp library provides a FASTA reader and indexer that can be embedded into applications which would benefit from directly reading subsequences from FASTA files. The library automatically handles index file generation and use.

Features:

  • FASTA index (.fai) generation for FASTA files
  • Sequence extraction
  • Subsequence extraction
  • Sequence statistics (currently only entropy is provided)

Sequence and subsequence extraction use fseek64 to provide fastest-possible extraction without RAM-intensive file loading operations. This makes fastahack a useful tool for bioinformaticists who need to quickly extract many subsequences from a reference FASTA sequence.

This is the development package containing the statically linked library and the header files.

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Libffindex0-dev
library for simple index/database for huge amounts of small files (development)
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FFindex is a very simple index/database for huge amounts of small files. The files are stored concatenated in one big data file, separated by '\0'. A second file contains a plain text index, giving name, offset and length of the small files. The lookup is currently done with a binary search on an array made from the index file.

This package contains the header files and documentation needed to develop applications with libffindex.

Libfml-dev
development headers for libfml
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Fermi-lite is a standalone C library tool for assembling Illumina short reads in regions from 100bp to 10 million bp in size.

This package contains the C library headers for using libfml in custom tools, along with a static library.

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Libfreecontact-dev
fast protein contact predictor library - development files
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FreeContact is a protein residue contact predictor optimized for speed. Its input is a multiple sequence alignment. FreeContact can function as an accelerated drop-in for the published contact predictors EVfold-mfDCA of DS. Marks (2011) and PSICOV of D. Jones (2011).

FreeContact is accelerated by a combination of vector instructions, multiple threads, and faster implementation of key parts. Depending on the alignment, 8-fold or higher speedups are possible.

A sufficiently large alignment is required for meaningful results. As a minimum, an alignment with an effective (after-weighting) sequence count bigger than the length of the query sequence should be used. Alignments with tens of thousands of (effective) sequences are considered good input.

jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite can be used to generate the alignments, for example.

This package contains files necessary for developing applications with libfreecontact.

Please cite: László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks and Burkhard Rost: FreeContact: fast and free software for protein contact prediction from residue co-evolution. BMC Bioinformatics (2014)
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Libfreecontact-perl
fast protein contact predictor - binding for Perl
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FreeContact is a protein residue contact predictor optimized for speed. Its input is a multiple sequence alignment. FreeContact can function as an accelerated drop-in for the published contact predictors EVfold-mfDCA of DS. Marks (2011) and PSICOV of D. Jones (2011).

FreeContact is accelerated by a combination of vector instructions, multiple threads, and faster implementation of key parts. Depending on the alignment, 8-fold or higher speedups are possible.

A sufficiently large alignment is required for meaningful results. As a minimum, an alignment with an effective (after-weighting) sequence count bigger than the length of the query sequence should be used. Alignments with tens of thousands of (effective) sequences are considered good input.

jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite can be used to generate the alignments, for example.

This package contains the Perl binding.

Please cite: László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks and Burkhard Rost: FreeContact: fast and free software for protein contact prediction from residue co-evolution.. (PubMed,eprint) BMC Bioinformatics 15:85 (2014)
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Libgatbcore-dev
development library of the Genome Analysis Toolbox
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The GATB-CORE project provides a set of highly efficient algorithms to analyse NGS data sets. These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (e.g. metagenomes). Read more about GATB at https://gatb.inria.fr/. By itself GATB-CORE is not an NGS data analysis tool. However, it can be used to create such tools. There already exist a set of ready-to-use tools relying on GATB-CORE library: see https://gatb.inria.fr/software/

This package contains the static library and the header files of the gatb-core library.

Please cite: Erwan Drezen, Guillaume Rizk, Rayan Chikhi, Charles Deltel, Claire Lemaitre, Pierre Peterlongo and Dominique Lavenier: GATB: Genome Assembly & Analysis Tool Box. Bioinformatics 30(20):2959-2961 (2014)
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Libgenome-dev
toolkit for developing bioinformatic related software (devel)
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libGenome is a freely available toolkit for developing bioinformatic related software in C++. It is intended to take the hassle out of performing common tasks on genetic sequence and annotation data.

Among other things, libGenome can help you:

  • Read and write Multi-FastA format files
  • Read and write GenBank flat file database entries
  • Append, chop, truncate, reverse, complement, translate, and otherwise mangle sequence data
  • Access annotation in GenBank flat files

This is the development package containing the statically linked library and the header files.

Libgenome-model-tools-music-perl
module for finding mutations of significance in cancer
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The MuSiC suite is a set of tools aimed at discovering the significance of somatic mutations found within a given cohort of cancer samples, and with respect to a variety of external data sources.

Libgenome-perl
pipelines, tools, and data management for genomics
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This is the base namespace module for the Genome software tree.

That tree has several primary components:

Genome::Model: a data modeling pipeline management system for genomics

Genome::Model::Tools a tree of >1000 tools and tool wrappers for genomics

Genome::* a variety of sample tracking classes with an RDBMS back-end

Only the tools system is currently released.

See genome for a complete inventory of all tool packages, and for command-line access to those tools.

Libgenometools0-dev
development files for GenomeTools
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This package contains the GenomeTools static library and necessary header files.

Besides basic bioinformatics data structures, the library contains components for sequence and annotation handling, sequence compression, index structure generation and access, efficient matching, annotation visualization and much more.

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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Libgff-dev
GFF/GTF parsing from cufflinks as a library
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This is a simple "libraryfication" of the GFF/GTF parsing code that is used in the Cufflinks codebase. There are not many (any?) relatively lightweight GTF/GFF parsers exposing a C++ interface, and the goal of this library is to provide this functionality without the necessity of drawing in a heavy-weight dependency like SeqAn.

Libgkarrays-dev
library to query large collection of NGS sequences (development)
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Gk-arrays are provided as a simple-to-use C++ library dedicated to queries on large collection of sequences as produced by high-throughput sequencers (e.g. HiSeq 2000 from Illumina, 454 from Roche).

Gk-arrays index k-mers of reads and allows one to answer different queries on that read collection (e.g. how many reads share this k-mer? where does this k-mer occur in the read collection?).

Gk-arrays consist of a space-efficient alternative to hash tables while being similar in terms of query times.

This is the development library for libgkarrays.

Please cite: Nicolas Philippe, Mikaël Salson, Thierry Lecroq, Martine Léonard, Thérèse Commes and Eric Rivals: Querying large read collections in main memory: a versatile data structure. (PubMed) BMC Bioinformatics 12:242 (2011)
Libgo-perl
perl modules for GO and other OBO ontologies
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This is a collection of perl code for dealing with Gene Ontologies (GO) and Open Biomedical Ontologies (OBO) style ontologies. It is part of the ‘go-dev’ distribution, but this Debian package is made from the CPAN archive. This package contains both scripts (which can be used with no knowledge of perl), and libraries which will be of use to perl programmers using GO or OBO.

Libhmsbeagle-dev
High-performance lib for Bayesian and Maximum Likelihood phylogenetics (devel)
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BEAGLE is a high-performance library that can perform the core calculations at the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It can make use of highly-parallel processors such as those in graphics cards (GPUs) found in many PCs.

The project involves an open API and fast implementations of a library for evaluating phylogenetic likelihoods (continuous time Markov processes) of biomolecular sequence evolution.

The aim is to provide high performance evaluation 'services' to a wide range of phylogenetic software, both Bayesian samplers and Maximum Likelihood optimizers. This allows these packages to make use of implementations that make use of optimized hardware such as graphics processing units.

This package contains development files needed to build against Beagle library.

Please cite: Daniel L. Ayres, Aaron Darling, Derrick J. Zwickl, Peter Beerli, Mark T. Holder, Paul O. Lewis, John P. Huelsenbeck, Fredrik Ronquist, David L. Swofford, Michael P. Cummings, Andrew Rambaut and Marc A. Suchard: BEAGLE: an Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics. (PubMed,eprint) Systematic Biology 61(1):170-3 (2012)
Libhts-dev
development files for the HTSlib
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HTSlib is an implementation of a unified C library for accessing common file formats, such as SAM (Sequence Alignment/Map), CRAM and VCF (Variant Call Format), used for high-throughput sequencing data, and is the core library used by samtools and bcftools. HTSlib only depends on zlib. It is known to be compatible with gcc, g++ and clang.

HTSlib implements a generalized BAM (binary SAM) index, with file extension ‘csi’ (coordinate-sorted index). The HTSlib file reader first looks for the new index and then for the old if the new index is absent.

This package contains development files for the HTSlib: headers, static library, manual pages, etc.

Please cite: Heng Li: Tabix: fast retrieval of sequence features from generic TAB-delimited files. (PubMed,eprint) Bioinformatics 27(5):718-719 (2011)
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Libhtsjdk-java
Java API for high-throughput sequencing data (HTS) formats
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HTSJDK is an implementation of a unified Java library for accessing common file formats, such as SAM (Sequence Alignment/Map) and VCF, used for high-throughput sequencing data. There are also an number of useful utilities for manipulating HTS data.

Libjebl2-java
Java Evolutionary Biology Library
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A Java library for evolutionary biology and bioinformatics, including objects representing biomolecular sequences, multiple sequence alignments and phylogenetic trees.

This is a branch of the original JEBL on http://sourceforge.net/projects/jebl/ to develop a new API and class library.

Remark of Debian Med team: Fork from jebl

This is a branch of the original JEBL on http://sourceforge.net/projects/jebl/ to develop a new API and class library.

Libjloda-java
Java library of data structures and algorithms for bioinformatics
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The jloda Java library provides some basic data structures and algorithms used by bioinformatics applications like SplitsTree, Dendroscope and MEGAN.

Please cite: Alexander Herbig, Frank Maixner, Kirsten I. Bos, Albert Zink, Johannes Krause and Daniel H. Huson: MALT: Fast alignment and analysis of metagenomic DNA sequence data applied to the Tyrolean Iceman. (eprint) bioRxiv (2016)
Libkmer-dev
suite of tools for DNA sequence analysis (development lib)
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The kmer package is a suite of tools for DNA sequence analysis. It provides tools for searching (ESTs, mRNAs, sequencing reads); aligning (ESTs, mRNAs, whole genomes); and a variety of analyses based on kmers.

This package contains headers and static libraries for kmer.

Please cite: B. Walenz and L. Florea: Sim4db and leaff: Utilities for fast batched spliced alignment and sequence indexing. (PubMed) Bioinformatics 27(13):1869-1870 (2011)
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Libmaus2-dev
collection of data structures and algorithms for biobambam (devel)
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Libmaus2 is a collection of data structures and algorithms. It contains

  • I/O classes (single byte and UTF-8)
  • bitio classes (input, output and various forms of bit level manipulation)
  • text indexing classes (suffix and LCP array, fulltext and minute (FM), ...)
  • BAM sequence alignment files input/output (simple and collating)

and many lower level support classes.

This package contains header files and static libraries.

Libmems-dev
development library to support DNA string matching and comparative genomics
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libMems is a freely available software development library to support DNA string matching and comparative genomics. Among other things, libMems implements an algorithm to perform approximate multi-MUM and multi-MEM identification. The algorithm uses spaced seed patterns in conjunction with a seed-and-extend style hashing method to identify matches. The method is efficient, requiring a maximum of only 16 bytes per base of the largest input sequence, and this data can be stored externally (i.e. on disk) to further reduce memory requirements.

This is the development package containing the statically linked library and the header files.

Libminimap-dev
development headers for libminimap
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Minimap is an experimental tool to efficiently find multiple approximate mapping positions between two sets of long sequences, such as between DNA reads and reference genomes, between genomes and between long noisy reads.

This package contains the C library headers for using minimap in custom tools, along with a static library.

Please cite: Heng Li: Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences. (eprint) Bioinformatics :2103-2110 (2016)
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Libmuscle-dev
multiple alignment development library for protein sequences
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MUSCLE is a multiple alignment program for protein sequences. MUSCLE stands for multiple sequence comparison by log-expectation. In the authors tests, MUSCLE achieved the highest scores of all tested programs on several alignment accuracy benchmarks, and is also one of the fastest programs out there.

This library was derived from the original MUSCLE and turned into a library.

This package contains the static library and header files.

Libncbi-vdb-dev
libraries for using data in the INSDC Sequence Read Archives (devel)
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Much of the data submitted these days, for example in BAM, Illumina export.txt, and Complete Genomics formats, contain alignment information. With aligned data, NCBI uses Compression by Reference, which only stores the differences in base pairs between sequence data and the segment it aligns to. The process to restore original data, for example as FastQ, requires fast access to the reference sequences that the original data was aligned to. NCBI recommends that SRA users dedicate local disk space to store references downloaded from the NCBI SRA site. As of Fall 2014, the complete collection of these reference sequences is 66 GB. While it isn't usually necessary to download the entirety of the reference sequences, this should give you an idea of the scale of the storage requirement. By default, the Toolkit will download missing reference sequences on demand and cache them in the user's home directory. The location of this cache is configurable, as is whether the download is automatic or manual.

This is the development package.

Libncbi6-dev
NCBI libraries for biology applications (development files)
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This package supplies development versions of NCBI's non-graphical C libraries, along with the corresponding header files.

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Libncl-dev
NEXUS Class Library (static lib and header files)
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The NEXUS Class Library is a C++ library for parsing NEXUS files.

The NEXUS file format is widely used in bioinformatics. Several popular phylogenetic programs such as Paup, MrBayes, Mesquite, and MacClade use this format.

This package contains the static library and header files of the NEXUS library.

Please cite: Paul O. Lewis: NCL: a C++ class library for interpreting data files in NEXUS format. (PubMed,eprint) Bioinformatics 19(17):2330-2331 (2003)
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Libngs-java
Next Generation Sequencing language Bindings (Java bindings)
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NGS is a new, domain-specific API for accessing reads, alignments and pileups produced from Next Generation Sequencing. The API itself is independent from any particular back-end implementation, and supports use of multiple back-ends simultaneously. It also provides a library for building new back-end "engines". The engine for accessing SRA data is contained within the sister repository ncbi-vdb.

The API is currently expressed in C++, Java and Python languages. The design makes it possible to maintain a high degree of similarity between the code in one language and code in another - especially between C++ and Java.

Java bindings.

Libngs-sdk-dev
Next Generation Sequencing language Bindings (development)
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NGS is a new, domain-specific API for accessing reads, alignments and pileups produced from Next Generation Sequencing. The API itself is independent from any particular back-end implementation, and supports use of multiple back-ends simultaneously. It also provides a library for building new back-end "engines". The engine for accessing SRA data is contained within the sister repository ncbi-vdb.

The API is currently expressed in C++, Java and Python languages. The design makes it possible to maintain a high degree of similarity between the code in one language and code in another - especially between C++ and Java.

This is the development package.

Libnhgri-blastall-perl
Perl extension for running and parsing NCBI's BLAST 2.x
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NHGRI::Blastall will enable usage of BLAST out of a Perl script, if BLAST2 or WU-BLAST are installed locally. Main features are:

  • run BLAST (also via network, which requires blastcl3)
  • BLAST single sequences against each other or against a given library
  • format databases
  • mask out repetitive DNA
  • read, parse and filter existing BLAST reports
Libopenms-dev
library for LC/MS data management and analysis - dev files
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OpenMS is a library for LC/MS data management and analysis. OpenMS offers an infrastructure for the development of mass spectrometry-related software and powerful 2D and 3D visualization solutions.

OpenMS offers analyses for various quantitation protocols, including label-free quantitation, SILAC, iTRAQ, SRM, SWATH…

It provides built-in algorithms for de-novo identification and database search, as well as adapters to other state-of-the art tools like X!Tandem, Mascot, OMSSA…

OpenMS supports the Proteomics Standard Initiative (PSI) formats for MS data and supports easy integration of tools into workflow engines like Knime, Galaxy, WS-Pgrade, and TOPPAS via the TOPPtools concept and a unified parameter handling.

This package ships the library development files.

Please cite: Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert and Oliver Kohlbacher: OpenMS – an Open-Source Software Framework for Mass Spectrometry. (PubMed,eprint) BMC Bioinformatics 9(163) (2008)
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Libpal-java
Phylogenetic Analysis Library
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The PAL project is a collaborative effort to provide a high quality Java library for use in molecular evolution and phylogenetics. At present PAL consists of approximately 200 public classes/interfaces in 16 packages Please refer to the API documentation for a detailed description of all classes and methods available, and to the release history for an overview of the development history of PAL.

Please cite: Alexei Drummond and Korbinian Strimmer: PAL: an object-oriented programming library for molecular evolution and phylogenetics. (PubMed,eprint) Bioinformatics 17(7):662-663 (2001)
Libpbbam-dev
Pacific Biosciences binary alignment/map (BAM) library (headers)
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The BAM format is a binary, compressed, record-oriented container format for raw or aligned sequence reads. The associated SAM format is a text representation of the same data. The specifications for BAM/SAM are maintained by the SAM/BAM Format Specification Working Group.

PacBio-produced BAM files are fully compatible with the BAM specification, but makes use of the extensibility mechanisms of the BAM specification to encode PacBio-specific information. The pbbam library provides tools to work with these files

This package contains the library header files.

Libpbdata-dev
tools for handling PacBio sequences (development files)
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Blasr_libcpp is a library used by blasr and other executables such as samtoh5, loadPulses for analyzing PacBio sequences. This library contains three sub-libraries, including pbdata, hdf and alignment.

This package contains the header files and static library for the pbdata sublibrary.

Libpbihdf-dev
tools for handling PacBio hdf5 files (development files)
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Blasr_libcpp is a library used by blasr and other executables such as samtoh5, loadPulses for analyzing PacBio sequences. This library contains three sub-libraries, including pbdata, hdf and alignment.

This package contains the header files and static library for the hdf sublibrary.

Libpbseq-dev
library for analyzing PacBio sequencing data (development files)
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Blasr_libcpp is a library used by blasr and other executables such as samtoh5, loadPulses for analyzing PacBio sequences. This library contains three sub-libraries, including pbdata, hdf and alignment.

This is a metapackage that depends on the pbseqlib component development files.

Libpll-dev
Phylogenetic Likelihood Library (development)
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PLL is a highly optimized, parallelized software library to ease the development of new software tools dealing with phylogenetic inference.

Among the functions included in PLL are parsing multiple sequence alignments (MSA) from PHYLIP and FASTA files, reading Newick trees, performing topological moves such as SPR and NNI, model optimization, likelihood evaluation and partitioned analysis by assigning different substitution models to each partition of the MSA. PLL fully implements the GTR nucleotide substitution model for DNA data and a number of models for aminoacid data.

This package contains the static library and the header file.

Please cite: Fernando Izquierdo-Carrasco, Nikolaos Alachiotis, Simon Berger, Tomas Flouri, Solon P. Pissis and Alexandros Stamatakis: A Generic Vectorization Scheme and a GPU Kernel for the Phylogenetic Likelihood Library. Conference proceedings: Parallel and Distributed Processing Symposium Workshops (2013)
Libqes-dev
DNA sequence parsing library -- development
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A small C library, with a bioinformatic focus. Optimised for speed and a clean API. Handles sequence parsing and miscellaneous manipulation of DNA sequences.

These are the development headers required to use libqes in your own applications.

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Librcsb-core-wrapper0-dev
development files for librcsb-core-wrapper0
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The RCSB Core Wrapper library was developed to provide an object-oriented application interface to information in mmCIF format. It includes several classes for accessing data dictionaries and mmCIF format data files.

This package contains files necessary for developing applications with the library.

The package is enhanced by the following packages: librcsb-core-wrapper0-dbg
Librdp-taxonomy-tree-java
taxonomy tree library from Ribosomal Database Project (RDP)
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The TaxonomyTree project is a library used by other Ribosomal Database Project (RDP) tools.

Librelion-dev
C++ API for RELION (3D reconstructions in cryo-electron microscopy)
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RELION (for REgularised LIkelihood OptimisatioN) is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy.

RELION provides a GUI, several command-line tools in parallel (MPI) and serial versions as well as a C++ API.

This is the developers API package for use without GUI and MPI.

Please cite: Sjors H. W. Scheres: RELION: implementation of a Bayesian approach to cryo-EM structure determination. (PubMed) J. Struct. Biol. 180(3):519-30 (2012)
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Librg-blast-parser-perl
very fast NCBI BLAST parser - binding for Perl
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This package contains Perl binding for a very fast C++ library that parses the default output of NCBI BLAST programs. BLAST results are returned in a convenient hash structure.

Evaluated on a very small test set, this parser is considerably faster than Zerg::Report from libzerg-perl.

Librg-reprof-bundle-perl
protein secondary structure and accessibility predictor (perl module)
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'reprof' is an improved implementation of 'prof', a popular protein secondary structure and accessibility predictor. Prediction is either done from protein sequence alone or from an alignment - the latter should be used for optimal performance.

This package provides the perl modules implementing 'reprof' along with the necessary data files.

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Librostlab-blast0-dev
very fast C++ library for parsing the output of NCBI BLAST programs (devel)
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This package provides a very fast library for parsing the default output of NCBI BLAST programs into a C++ structure.

libzerg is faster, but it provides only lexing (i.e. it only returns pairs of token identifiers and token string values). librostlab-blast uses a parser generated with bison on top of a flex-generated lexer very similar to that of libzerg.

This package contains files necessary for developing applications with librostlab-blast.

Librostlab3-dev
C++ library for computational biology (development)
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This library was developed by the Rost Lab. The lab's research is driven by a conviction that protein and DNA sequences encode a significant core of information about the ultimate structure and function of genetic material and its gene products.

The library provides the following facilities:

  • current working directory resource
  • exception with stack backtrace
  • file lock resource
  • passwd and group structures for C++
  • effective uid and gid resource
  • rostlab::bio::seq class with stream input operator for FASTA format
  • umask resource

This package contains files necessary for developing applications with librostlab.

Libsbml5-dev
System Biology Markup Language library - development files
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LibSBML is a library designed to help you read, write, manipulate, translate, and validate SBML files and data streams. It is not an application itself (though it does come with many example programs), but rather a library you can embed in your own applications.

This package contains files necessary for development with libsbml.

Please cite: Benjamin J Bornstein, Sarah M Keating, Akiya Jouraku and Michael Hucka: LibSBML: An API Library for SBML. (PubMed,eprint) Bioinformatics 24(6):880-881 (2008)
Libseqan2-dev
C++ library for the analysis of biological sequences (development)
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SeqAn is a C++ template library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. This library applies a unique generic design that guarantees high performance, generality, extensibility, and integration with other libraries. SeqAn is easy to use and simplifies the development of new software tools with a minimal loss of performance.

This package contains the developer files.

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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Libseqlib-dev
C++ htslib/bwa-mem/fermi interface for interrogating sequence data (dev)
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C++ API and command line tool that provides a rapid and user-friendly interface to BAM/SAM/CRAM files, global sequence alignment operations and sequence assembly. Four C libraries perform core operations in SeqLib: HTSlib for BAM access, BWA-MEM and BLAT for sequence alignment and Fermi for error correction and sequence assembly. Benchmarking indicates that SeqLib has lower CPU and memory requirements than leading C++ sequence analysis APIs. Minimal SeqLib code can extract, error-correct and assemble reads from a CRAM file and then align with BWA-MEM. SeqLib also provides additional capabilities, including chromosome-aware interval queries and read plotting. Command line tools are available for performing integrated error correction, micro-assemblies and alignment.

This package contains the header files and static library.

Please cite: Jeremiah Wala and Rameen Beroukhim: SeqLib: a C ++ API for rapid BAM manipulation, sequence alignment and sequence assembly. (PubMed) Bioinformatics (2016)
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Libsmithwaterman-dev
determine similar regions between two strings or genomic sequences (devel)
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The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings or nucleotide or protein sequences. Instead of looking at the total sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure.

This is the development package containing the statically linked library and the header files.

Libsnp-sites1-dev
Static libraries and header files for the package snp-sites
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Snp-sites finds single nucleotide polymorphism (SNP) sites from multi-fasta alignment input files (which might be compressed). Its output can be in various widely used formats (Multi Fasta Alignment, Vcf, phylip).

The software has been developed at the Wellcome Trust Sanger Institute.

This package contains the development files to include snp-sites into your own code. The library enables Python developers to make snp-sites function calls (Python bindings) through the Boost Python Library.

Please cite: Andrew J. Page, Ben Taylor, Aidan J. Delaney, Jorge Soares, Torsten Seemann, Jacqueline A. Keane and Simon R. Harris: SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. (eprint) Microbial Genomics 2(4) (2016)
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Libsort-key-top-perl
Perl module to select and sort top n elements of a list
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The functions available from this module select the top n elements from a list using several common orderings and custom key extraction procedures.

They are all variations around 'keytopsort { CALC_KEY($_) } $n => @data;'.

In array context, this function calculates the ordering key for every element in @data using the expression inside the block. Then it selects and orders the $n elements with the lower keys when compared lexicographically.

In scalar context, the value returned by the functions on this module is the cutoff value allowing to select nth element from the array.

Libspoa-dev
SIMD partial order alignment library (development files)
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Spoa (SIMD POA) is a c++ implementation of the partial order alignment (POA) algorithm (as described in 10.1093/bioinformatics/18.3.452) which is used to generate consensus sequences (as described in 10.1093/bioinformatics/btg109). It supports three alignment modes: local (Smith-Waterman), global (Needleman-Wunsch) and semi-global alignment (overlap).

This package contains the static library and the header files.

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Libsrf-dev
C++ implementation of the SRF format for DNA sequence data
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SRF (sort for Sequence Read Format) is a generic format capable of storing data generated by any DNA sequencing technology. This library is an implementation of SRF and provides basic input-output functions.

Libssm-dev
macromolecular superposition library - development files
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SSM is a macromolecular coordinate superposition library, written by Eugene Krissinel of the EBI.

The library implements the SSM algorithm of protein structure comparison in three dimensions, which includes an original procedure of matching graphs built on the protein's secondary-structure elements, followed by an iterative three-dimensional alignment of protein backbone Calpha atoms.

This package contains libraries and header files needed for program development.

Please cite: E. Krissinel and K. Henrick: Secondary-structure matching (SSM), a new tool for fast protein structure alignment in three dimensions. (PubMed,eprint) Acta Crystallogr D Biol Crystallogr. 60(1):2256-68 (2004)
Libssw-dev
Development headers and static libraries for libssw
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This package provides development headers and static libraries for libssw, a fast implementation of the Smith-Waterman algorithm using Single-Instruction Multiple-Data (SIMD) instructions to parallelize the algorithm at the instruction level.

Please cite: Mengyao Zhao, Wan-Ping Lee, Erik P. Garrison and Gabor T. Marth: SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications.. (eprint) PLoS One 8:e82138 (2013)
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Libssw-java
Java bindings for libssw
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This package provides JNI based Java bindings for libssw, a fast implementation of the Smith-Waterman algorithm using Single-Instruction Multiple-Data (SIMD) instructions to parallelize the algorithm at the instruction level.

Please cite: Mengyao Zhao, Wan-Ping Lee, Erik P. Garrison and Gabor T. Marth: SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications.. (eprint) PLoS One 8:e82138 (2013)
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Libstaden-read-dev
development files for libstaden-read
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This package contains the header and development files needed to build programs and packages using the Staden io_lib.

The io_lib from the Staden package is a library of file reading and writing code to provide a general purpose trace file (and Experiment File) reading interface. It has been compiled and tested on a variety of unix systems, MacOS X and MS Windows.

Libstatgen-dev
development files for the libStatGen
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libStatGen is a library for statistical genetic programs. It includes some: A. General Operation Classes including: File/Stream I/O, String processing

 and Parameter Parsing.
B. Statistical Genetic Specific Classes including: Handling Common file
 formats (Accessors to get/set values, Indexed access to BAM files) and
 some utility classes, including: 1. Cigar: interpretation and mapping
 between query and reference. 2. Pileup: structured access to data by
 individual reference position.

This package provides the development files for libstatgen.

Libswiss-perl
Perl API to the UniProt database
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UniProt, SwissProt and TrEMBL are different views on protein sequence data that is prepared by groups at the European Bioinformatics Institute (EMBL-EBI) in Cambridge and the Swiss Bioinformatics Institute (SIB) at the University Hospital in Geneva.

The SwissKnife Perl library is used by the developers of these databases to perform all the automated editing and sytax checks. The users of this package will profit from the stable API on an ever evolving representation of biological knowledge.

Libtabixpp-dev
C++ wrapper to tabix indexer (development files)
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This package provides development headers and static libraries for libtabixpp, a C++ interface wrapper for Tabix. Tabix is a part of htslib to index tabular files in which some columns indicate sequence coordinates.

Libtfbs-perl
scanning DNA sequence with a position weight matrix
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The TFBS perl modules comprise a set of routines to interact with the Transfac and Jaspar databases that describe a special family of proteins, the transcription factors. These bind to genomic DNA to initiate (or prevent) the readout of a gene. Once multiple binding sites are known for a transcription factor, these are gathered in a single file and are aligned in order to find position-specific characteristica that might be used to predict such binding events in novel DNA sequences.

If you use TFBS in your work, please cite "Lenhard B., Wasserman W.W. (2002) TFBS: Computational framework for transcription factor binding site analysis. Bioinformatics 18:1135-1136".

Note: the TFBS perl module is no longer under active development. All the functionality can be found in the TFBSTools Bioconductor package; users are highly encouraged to switch. http://bioconductor.org/packages/TFBSTools/

Please cite: Boris Lenhard and Wyeth W. Wasserman: TFBS: Computational framework for transcription factor binding site analysis. (PubMed) Bioinformatics 18(8):1135-1136 (2002)
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Libthread-pool-dev
C++ thread pool library (devel)
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A thread pool is a software design pattern for achieving concurrency of execution in a computer program. Often also called a replicated workers or worker-crew model,[1] a thread pool maintains multiple threads waiting for tasks to be allocated for concurrent execution by the supervising program.

This package contains the static library and the header files.

Libvcflib-dev
C++ library for parsing and manipulating VCF files (development)
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The Variant Call Format (VCF) is a flat-file, tab-delimited textual format intended to concisely describe reference-indexed variations between individuals. VCF provides a common interchange format for the description of variation in individuals and populations of samples, and has become the defacto standard reporting format for a wide array of genomic variant detectors.

vcflib provides methods to manipulate and interpret sequence variation as it can be described by VCF. It is both:

  • an API for parsing and operating on records of genomic variation as it can be described by the VCF format,
  • and a collection of command-line utilities for executing complex manipulations on VCF files.

This package contains the static library and the header files.

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Libvibrant6-dev
NCBI libraries for graphic biology applications (development files)
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Vibrant allows you to develop portable (Motif, MS-Windows, Mac-OS) graphic biological applications.

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Libzerg-perl
fast perl module for parsing the output of NCBI BLAST programs
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The Zerg library contains a C/flex lexical scanner for BLAST reports and a set of supporting functions. It is centered on a "get_token" function that scans the input for specified lexical elements and, when one is found, returns its code and value to the user.

It is intended to be fast: for that the authors used flex, which provides simple regular expression matching and input buffering in the generated C scanner. And it is intended to be simple in the sense of providing just a lexical scanner, with no features whose support could slow down its main function.

Please cite: Apuã C M Paquola, Abimael A Machado, Eduardo M Reis, Aline M Da Silva and Sergio Verjovski-Almeida: Zerg: a very fast BLAST parser library. (PubMed,eprint) Bioinformatics 19(8):1035-6 (2003)
Libzerg0-dev
development libraries and header files for libzerg
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Zerg is a C library for lexing - lexically scanning - the output of NCBI BLAST programs.

Based on a GNU Flex-generated lexical scanner, it runs extremely fast, being especially useful for processing large volumes of data. Benchmark tests show that Zerg is over two orders of magnitude faster than some widely used BLAST parsers.

If you need a parser and not only a lexer, check out librostlab-blast.

This package contains the header files and documentation needed to develop applications with libzerg.

Please cite: Apuã C M Paquola, Abimael A Machado, Eduardo M Reis, Aline M Da Silva and Sergio Verjovski-Almeida: Zerg: a very fast BLAST parser library. (PubMed,eprint) Bioinformatics 19(8):1035-6 (2003)
Mcl
Markov Cluster algorithm
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The MCL package is an implementation of the MCL algorithm, and offers utilities for manipulating sparse matrices (the essential data structure in the MCL algorithm) and conducting cluster experiments.

MCL is currently being used in sciences like biology (protein family detection, genomics), computer science (node clustering in Peer-to-Peer networks), and linguistics (text analysis).

The package is enhanced by the following packages: zoem
Please cite: Stijn van Dongen and Cei Abreu-Goodger: Using MCL to extract clusters from networks. (PubMed,eprint) Methods Mol Biol. 804:281-95 (2012)
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Pyfai
Fast Azimuthal Integration scripts
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PyFAI is a Python library for azimuthal integration; it allows the conversion of diffraction images taken with 2D detectors like CCD cameras into X-Ray powder patterns that can be used by other software like Rietveld refinement tools (i.e. FullProf), phase analysis or texture analysis.

As PyFAI is a library, its main goal is to be integrated in other tools like PyMca, LiMa or EDNA. To perform online data analysis, the precise description of the experimental setup has to be known. This is the reason why PyFAI includes geometry optimization code working on "powder rings" of reference samples. Alternatively, PyFAI can also import geometries fitted with other tools like Fit2D.

PyFAI has been designed to work with any kind of detector with any geometry (transmission, reflection, off-axis, ...). It uses the Python library FabIO to read most images taken by diffractometer.

Python-cogent
framework for genomic biology
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PyCogent is a software library for genomic biology. It is a fully integrated and thoroughly tested framework for:

  • controlling third-party applications,
  • devising workflows; querying databases,
  • conducting novel probabilistic analyses of biological sequence evolution, and
  • generating publication quality graphics. It is distinguished by many unique built-in capabilities (such as true codon alignment) and the frequent addition of entirely new methods for the analysis of genomic data.
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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Python-corepywrap
library that exports C++ mmCIF accessors to Python
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The RCSB Core Wrapper library was developed to provide an object-oriented application interface to information in mmCIF format. It includes several classes for accessing data dictionaries and mmCIF format data files.

This library provides Python bindings for librcsb-core-wrapper.

The package is enhanced by the following packages: librcsb-core-wrapper0-dbg
Python-kineticstools
detection of DNA modifications (Python 2 library)
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Tools for detecting DNA modifications from single molecule, real-time (SMRT®) sequencing data. This tool implements the P_ModificationDetection module in SMRT® Portal, used by the RS_Modification_Detection and RS_Modifications_and_Motif_Detection protocol. Researchers interested in understanding or extending the modification detection algorithms can use these tools as a starting point.

This package is part of the SMRTAnalysis suite and contains the backend Python 2 library.

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Python-pbcommand
common command-line interface for Pacific Biosciences analysis modules
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To integrate with the pbsmrtpipe workflow engine, one must to be able to generate a Tool Contract and to be able to run from a Resolved Tool Contract. A Tool Contract contains the metadata of the exe, such as the file types of inputs, outputs and options. There are two principal use cases, first wrapping/calling Python functions that have been defined in external Python packages, or scripts. Second, creating a CLI tool that supports emitting tool contracts, running resolved tool contracts and complete argparse-style CLI.

Python-pbcore
Python 2 library for processing PacBio data files
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The pbcore package provides Python modules for processing Pacific Biosciences data files and building PacBio bioinformatics applications. These modules include tools to read/write PacBio data formats, sample data files for testing and debugging, base classes, and utilities for building bioinformatics applications.

This package is part of the SMRTAnalysis suite.

This is the Python 2 module.

Python-pbh5tools
tools for manipulating Pacific Biosciences HDF5 files -- Python 2 library
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This package provides functionality for manipulating and extracting data from cmp.h5 and bas.h5 files produced by the Pacific Biosciences sequencers. cmp.h5 files contain alignment information while bas.h5 files contain base-call information.

pbh5tools is part of the SMRTAnalysis suite. This package provides the Python 2 backend library

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Python3-airr
Data Representation Standard library for antibody and TCR sequences
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This package provides a library by the AIRR community to for describing, reporting, storing, and sharing adaptive immune receptor repertoire (AIRR) data, such as sequences of antibodies and T cell receptors (TCRs). Some specific efforts include:

  • The MiAIRR standard for describing minimal information about AIRR datasets, including sample collection and data processing information.
  • Data representations (file format) specifications for storing large amounts of annotated AIRR data.
  • APIs for exposing a common interface to repositories/databases containing AIRR data.
  • A community standard for software tools which will allow conforming tools to gain community recognition.

This package installs the library for Python 3.

Python3-bcbio
library for analysing high-throughput sequencing data
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This package installs the Python 3 libraries of the bcbio-nextgen toolkit implementing best-practice pipelines for fully automated high throughput sequencing analysis.

A high-level configuration file specifies inputs and analysis parameters to drive a parallel pipeline that handles distributed execution, idempotent processing restarts and safe transactional steps. The project contributes a shared community resource that handles the data processing component of sequencing analysis, providing researchers with more time to focus on the downstream biology.

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Python3-biom-format
Biological Observation Matrix (BIOM) format (Python 3)
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The BIOM file format (canonically pronounced biome) is designed to be a general-use format for representing biological sample by observation contingency tables. BIOM is a recognized standard for the Earth Microbiome Project and is a Genomics Standards Consortium candidate project.

The BIOM format is designed for general use in broad areas of comparative -omics. For example, in marker-gene surveys, the primary use of this format is to represent OTU tables: the observations in this case are OTUs and the matrix contains counts corresponding to the number of times each OTU is observed in each sample. With respect to metagenome data, this format would be used to represent metagenome tables: the observations in this case might correspond to SEED subsystems, and the matrix would contain counts corresponding to the number of times each subsystem is observed in each metagenome. Similarly, with respect to genome data, this format may be used to represent a set of genomes: the observations in this case again might correspond to SEED subsystems, and the counts would correspond to the number of times each subsystem is observed in each genome.

This package provides the BIOM format library for the Python 3 interpreter.

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-biomaj3
BioMAJ workflow management library
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BioMAJ downloads remote data banks, checks their status and applies transformation workflows, with consistent state, to provide ready-to-use data for biologists and bioinformaticians. For example, it can transform original FASTA files into BLAST indexes. It is very flexible and its post-processing facilities can be extended very easily.

BioMAJ3 is a rewrite of BioMAJ v1.x, see online documentation for migration.

This package contains the library to manage the workflow update in BioMAJ3, it is managed via python3-biomaj3-daemon (for microservices remote operations) or biomaj3-cli (local or remote) packages

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Python3-biopython
Python library for bioinformatics (implemented in Python 3)
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The Biopython Project is an international association of developers of freely available Python tools for computational molecular biology.

It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source code is made available under the Biopython License, which is extremely liberal and compatible with almost every license in the world. The project works along with the Open Bioinformatics Foundation, who generously provide web and CVS space for the project.

This package is targeting Python version 3.

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-biotools
Python3 bioinformatics utilities for high-throughput genomic sequencing
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This package contains utilities like

 biotools.align - align sequences (hybrid between Needleman-Wunsch and
                  Smith-Waterman which is used to find the subsequence
                  within a larger sequence that best aligns to a reference)
 biotools.annotation - create annotation files. The annotations can be used
                       to create a hierarchy among the annotations
 biotools.BLAST - manage BLAST databases and interface with the BLAST+
                  standalone program available from NCBI.
 biotools.clustal - interface to clustalw global (multiple nucleotide or
                    peptide sequence alignment)
 biotools.complement - creates the complement of a sequence, which can then be
                       reversed
 biotools.sequence - various tools to deal with sequences
 biotools.translate - translate a nucleotide using the standard genetic code

This package contains the Python3 module.

Please cite: Rebecca Bart, Megan Cohn, Andrew Kassen, Emily J. McCallum, Mikel Shybut, Annalise Petriello, Ksenia Krasileva, Douglas Dahlbeck, Cesar Medina, Titus Alicai, Lava Kumar, Leandro M. Moreira, Júlio Rodrigues Neto, Valerie Verdier, María Angélica Santana, Nuttima Kositcharoenkul, Hervé Vanderschuren, Wilhelm Gruissem, Adriana Bernal and Brian J. Staskawicz: High-throughput genomic sequencing of cassava bacterial blight strains identifies conserved effectors to target for durable resistance. (PubMed) PNAS 109(28):E1972-9 (2012)
Python3-bx
library to manage genomic data and its alignment
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The bx-python project is a python library and associated set of scripts to allow for rapid implementation of genome scale analyses. The library contains a variety of useful modules, but the particular strengths are:

  • Classes for reading and working with genome-scale multiple local alignments (in MAF, AXT, and LAV formats)
  • Generic data structure for indexing on disk files that contain blocks of data associated with intervals on various sequences (used, for example, to provide random access to individual alignments in huge files; optimized for use over network filesystems)
  • Data structures for working with intervals on sequences
  • "Binned bitsets" which act just like chromosome sized bit arrays, but lazily allocate regions and allow large blocks of all set or all unset bits to be stored compactly
  • "Intersecter" for performing fast intersection tests that preserve both query and target intervals and associated annotation
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Python3-cgecore
Python3 module for the Center for Genomic Epidemiology
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This Python3 module contains classes and functions needed to run the service wrappers and pipeline scripts developed by the Center for Genomic Epidemiology.

Python3-cobra
constraint-based modeling of biological networks with Python 3
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COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. COBRApy is a constraint-based modeling package that is designed to accommodate the biological complexity of the next generation of COBRA models and provides access to commonly used COBRA methods, such as flux balance analysis, flux variability analysis, and gene deletion analyses.

Please cite: Ali Ebrahim, Joshua A Lerman, Bernhard O Palsson and Daniel R Hyduke: COBRApy: COnstraints-Based Reconstruction and Analysis for Python. (PubMed) BMC Systems Biology 7(74) (2013)
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Python3-csb
Python framework for structural bioinformatics (Python3 version)
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Computational Structural Biology Toolbox (CSB) is a Python class library for reading, storing and analyzing biomolecular structures in a variety of formats with rich support for statistical analyses.

CSB is designed for reusability and extensibility and comes with a clean, well-documented API following good object-oriented engineering practice.

This is the Python3 version of the package.

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Python3-cutadapt
Clean biological sequences from high-throughput sequencing reads (Python 3)
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Cutadapt helps with biological sequence clean tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Also, paired-end reads and even colorspace data is supported. If you want, you can also just demultiplex your input data, without removing adapter sequences at all.

This package contains the Python 3 module.

Please cite: Marcel Martin: Cutadapt removes adapter sequences from high-throughput sequencing reads. (eprint) EMBnet.journal 17(1):10-12 (2015)
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Python3-cyvcf2
VCF parser based on htslib (Python 3)
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This modules allows fast parsing of VCF and BCF including region-queries with Python. This is essential for efficient analyses of nucleotide variation with Python on high-throughput sequencing data.

cyvcf2 is a cython wrapper around htslib. Attributes like variant.gt_ref_depths return a numpy array directly so they are immediately ready for downstream use.

This package installs the library for Python 3.

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-dendropy
DendroPy Phylogenetic Computing Library (Python 3)
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DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc. Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the library. DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting “glue” that assembles and drives such pipelines.

This package provides python3 modules.

Please cite: Jeet Sukumaran and Mark T. Holder: DendroPy: a Python library for phylogenetic computing. (PubMed,eprint) Bioinformatics 26(12):1569-1571 (2010)
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Python3-fast5
library for reading Oxford Nanopore Fast5 files -- Python 3
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A lightweight C++11 library to read raw signal data from Oxford Nanopore's FAST5 files.

This package provides the Python 3 library

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Python3-freecontact
fast protein contact predictor - binding for Python3
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FreeContact is a protein residue contact predictor optimized for speed. Its input is a multiple sequence alignment. FreeContact can function as an accelerated drop-in for the published contact predictors EVfold-mfDCA of DS. Marks (2011) and PSICOV of D. Jones (2011).

FreeContact is accelerated by a combination of vector instructions, multiple threads, and faster implementation of key parts. Depending on the alignment, 8-fold or higher speedups are possible.

A sufficiently large alignment is required for meaningful results. As a minimum, an alignment with an effective (after-weighting) sequence count bigger than the length of the query sequence should be used. Alignments with tens of thousands of (effective) sequences are considered good input.

jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite can be used to generate the alignments, for example.

This package contains the Python3 binding.

Please cite: László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks and Burkhard Rost: FreeContact: ... BMC Bioinformatics (201?)
Python3-gfapy
flexible and extensible software library for handling sequence graphs
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The Graphical Fragment Assembly (GFA) are formats for the representation of sequence graphs, including assembly, variation and splicing graphs. Two versions of GFA have been defined (GFA1 and GFA2) and several sequence analysis programs have been adopting the formats as an interchange format, which allow the user to easily combine different sequence analysis tools.

This library implements the GFA1 and GFA2 specification. It is possible to create a Gfa object from a file in the GFA format or from scratch, to enumerate the graph elements (segments, links, containments, paths and header lines), to traverse the graph (by traversing all links outgoing from or incoming to a segment), to search for elements (e.g. which links connect two segments) and to manipulate the graph (e.g. to eliminate a link or a segment or to duplicate a segment distributing the read counts evenly on the copies).

The GFA format can be easily extended by users by defining own custom tags and record types. In Gfapy, it is easy to write extensions modules, which allow one to define custom record types and datatypes for the parsing and validation of custom fields. The custom lines can be connected, using references, to each other and to lines of the standard record types.

Please cite: Giorgio Gonnella and Stefan Kurtz: GfaPy: a flexible and extensible software library for handling sequence graphs in Python. (PubMed) Bioinformatics (2017)
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Python3-gffutils
Work with GFF and GTF files in a flexible database framework
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A Python package for working with and manipulating the GFF and GTF format files typically used for genomic annotations. Files are loaded into a sqlite3 database, allowing much more complex manipulation of hierarchical features (e.g., genes, transcripts, and exons) than is possible with plain-text methods alone.

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Python3-htseq
Python3 high-throughput genome sequencing read analysis utilities
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HTSeq can be used to performing a number of common analysis tasks when working with high-throughput genome sequencing reads:

  • Getting statistical summaries about the base-call quality scores to study the data quality.
  • Calculating a coverage vector and exporting it for visualization in a genome browser.
  • Reading in annotation data from a GFF file.
  • Assigning aligned reads from an RNA-Seq experiments to exons and genes.

This package contains the Python 3 module.

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-intervaltree-bio
Interval tree convenience classes for genomic data -- Python 3 library
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Convenience classes for loading UCSC genomic annotation records into a set of interval tree data structures.

This package provides the Python 3 library.

Python3-mirtop
annotate miRNAs with a standard mirna/isomir naming (Python 3)
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The main goal of this project is to create a reflection group on metazoan microRNAs (miRNAs), open to all interested researchers, to identify blockages and develop standards and guidelines to improve miRNA research, resources and communication. This can go through the use of standardized file formats, gene and variants nomenclature guidelines, and advancements in miRNA biology understanding. The group will eventually also aim at expanding its breadth to the development of novel tools, data resources, and best-practices guidelines to benefit the scientific community by providing high confidence validated research and analysis strategies, regardless the expertise in this field. This package provides the Python modules for mirtop to execute correctly.

Please cite: Lorena Patano: project for small RNA standard annotations. (2016)
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Python3-ngs
Next Generation Sequencing language Bindings (Python3 bindings)
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NGS is a new, domain-specific API for accessing reads, alignments and pileups produced from Next Generation Sequencing. The API itself is independent from any particular back-end implementation, and supports use of multiple back-ends simultaneously. It also provides a library for building new back-end "engines". The engine for accessing SRA data is contained within the sister repository ncbi-vdb.

The API is currently expressed in C++, Java and Python languages. The design makes it possible to maintain a high degree of similarity between the code in one language and code in another - especially between C++ and Java.

Python3 bindings.

Python3-pbconsensuscore
algorithms for PacBio multiple sequence consensus -- Python 3
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ConsensusCore is a library of C++ algorithms for Pacific Biosciences multiple sequence consensus that powers Quiver (Python) and ConsensusTools (.NET). This library primarily exists as the backend for GenomicConsensus, which implements Quiver.

This package is part of the SMRT Analysis suite. It provides the Python3 bindings.

Python3-presto
toolkit for processing B and T cell sequences
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pRESTO is a toolkit for processing raw reads from high-throughput sequencing of B cell and T cell repertoires.

Dramatic improvements in high-throughput sequencing technologies now enable large-scale characterization of lymphocyte repertoires, defined as the collection of trans-membrane antigen-receptor proteins located on the surface of B cells and T cells. The REpertoire Sequencing TOolkit (pRESTO) is composed of a suite of utilities to handle all stages of sequence processing prior to germline segment assignment. pRESTO is designed to handle either single reads or paired-end reads. It includes features for quality control, primer masking, annotation of reads with sequence embedded barcodes, generation of unique molecular identifier (UMI) consensus sequences, assembly of paired-end reads and identification of duplicate sequences. Numerous options for sequence sorting, sampling and conversion operations are also included.

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Python3-py2bit
access to 2bit files
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From https://genome.ucsc.edu/FAQ/FAQformat.html#format7: A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself.

Python3-pybedtools
Python 3 wrapper around BEDTools for bioinformatics work
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The BEDTools suite of programs is widely used for genomic interval manipulation or “genome algebra”. pybedtools wraps and extends BEDTools and offers feature-level manipulations from within Python.

This is the Python 3 version.

Please cite: R. K. Dale, B. S. Pedersen and A. R. Quinlan: Pybedtools: a flexible Python library for manipulating genomic datasets and annotations". Bioinformatics 27(24):3423-3424 (2011)
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Python3-pybel
Biological Expression Language
Maintainer: Steffen Moeller
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PyBEL is a pure Python package for parsing and handling biological networks encoded in the Biological Expression Language (BEL) version 2. It also facilitates data interchange between common formats and databases such as NetworkX, JSON, CSV, SIF, Cytoscape, CX, NDEx, SQL, and Neo4J.

This package installs the library for Python 3.

Please cite: Charles Tapley Hoyt, Andrej Konotopez and Christian Ebeling: PyBEL: a computational framework for Biological Expression Language. (eprint) Bioinformatics 34(4):703–704 (2018)
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Python3-pyfaidx
efficient random access to fasta subsequences for Python 3
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Samtools provides a function "faidx" (FAsta InDeX), which creates a small flat index file ".fai" allowing for fast random access to any subsequence in the indexed FASTA file, while loading a minimal amount of the file in to memory. This Python module implements pure Python classes for indexing, retrieval, and in-place modification of FASTA files using a samtools compatible index. The pyfaidx module is API compatible with the pygr seqdb module. A command-line script "faidx" is installed alongside the pyfaidx module, and facilitates complex manipulation of FASTA files without any programming knowledge.

This package provides the Python 3 modules to access fasta files.

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-pymummer
Python 3 interface to MUMmer
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pymummer is a Python wrapper for running the programs of the MUMmer sequence alignment suite and parsing their output.

Python3-pysam
interface for the SAM/BAM sequence alignment and mapping format (Python 3)
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Pysam is a Python module for reading and manipulating Samfiles. It's a lightweight wrapper of the samtools C-API. Pysam also includes an interface for tabix.

This package installs the module for Python 3.

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Python3-pyvcf
Variant Call Format (VCF) parser for Python 3
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The Variant Call Format (VCF) specifies the format of a text file used in bioinformatics for storing gene sequence variations. The format has been developed with the advent of large-scale genotyping and DNA sequencing projects, such as the 1000 Genomes Project.

The intent of this module is to mimic the csv module in the Python stdlib, as opposed to more flexible serialization formats like JSON or YAML. vcf will attempt to parse the content of each record based on the data types specified in the meta-information lines -- specifically the ##INFO and ##FORMAT lines. If these lines are missing or incomplete, it will check against the reserved types mentioned in the spec. Failing that, it will just return strings.

This package provides the Python 3 modules.

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Python3-rdkit
Collection of cheminformatics and machine-learning software
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RDKit is a Python/C++ based cheminformatics and machine-learning software environment. Features Include:

  • Chemical reaction handling and transforms
  • Substructure searching with SMARTS
  • Canonical SMILES
  • Molecule-molecule alignment
  • Large number of molecular descriptors, including topological, compositional, EState, SlogP/SMR, VSA and Feature-map vectors
  • Fragmentation using RECAP rules
  • 2D coordinate generation and depiction, including constrained depiction
  • 3D coordinate generation using geometry embedding
  • UFF and MMFF94 forcefields
  • Chirality support, including calculation of (R/S) stereochemistry codes
  • 2D pharmacophore searching
  • Fingerprinting, including Daylight-like, atom pairs, topological torsions, Morgan algorithm and MACCS keys
  • Calculation of shape similarity
  • Multi-molecule maximum common substructure
  • Machine-learning via clustering and information theory algorithms
  • Gasteiger-Marsili partial charge calculation

File formats RDKit supports include MDL Mol, PDB, SDF, TDT, SMILES and RDKit binary format.

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Python3-ruffus
Python3 computation pipeline library widely used in bioinformatics
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Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort.

  • Lightweight: Suitable for the simplest of tasks
  • Scalable: Handles even fiendishly complicated pipelines which would cause make or scons to go cross-eyed and recursive.
  • Standard Python: No "clever magic", no pre-processing.
  • Unintrusive: Unambitious, lightweight syntax which tries to do this one small thing well.

This package provides python3 modules.

Please cite: Leo Goodstadt: Ruffus: A Lightweight Python Library for Computational Pipelines. (PubMed,eprint) Bioinformatics 26(21):2778-9 (2010)
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Python3-screed
short nucleotide read sequence utils in Python 3
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Screed parses FASTA and FASTQ files, generates databases, and lets you query these databases. Values such as sequence name, sequence description, sequence quality, and the sequence itself can be retrieved from these databases.

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Python3-skbio
Python3 data structures, algorithms, educational resources for bioinformatic
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Scikit-bio is a Python package providing data structures, algorithms, and educational resources for bioinformatics.

This is the package for Python3

Python3-sqt
SeQuencing Tools for biological DNA/RNA high-throughput data
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sqt is a collection of command-line tools for working with high-throughput sequencing data. Conceptionally not fixed to use any particular language, many sqt subcommands are currently implemented in Python. For them, a Python package is available with functions for reading and writing FASTA/FASTQ files, computing alignments, quality trimming, etc.

The following tools are offered:

  • sqt-coverage -- Compute per-reference statistics such as coverage and GC content
  • sqt-fastqmod -- FASTQ modifications: shorten, subset, reverse complement, quality trimming.
  • sqt-fastastats -- Compute N50, min/max length, GC content etc. of a FASTA file
  • sqt-qualityguess -- Guess quality encoding of one or more FASTA files.
  • sqt-globalalign -- Compute a global or semiglobal alignment of two strings.
  • sqt-chars -- Count length of the first word given on the command line.
  • sqt-sam-cscq -- Add the CS and CQ tags to a SAM file with colorspace reads.
  • sqt-fastamutate -- Add substitutions and indels to sequences in a FASTA file.
  • sqt-fastaextract -- Efficiently extract one or more regions from an indexed FASTA file.
  • sqt-translate -- Replace characters in FASTA files (like the 'tr' command).
  • sqt-sam-fixn -- Replace all non-ACGT characters within reads in a SAM file.
  • sqt-sam-insertsize -- Mean and standard deviation of paired-end insert sizes.
  • sqt-sam-set-op -- Set operations (union, intersection, ...) on SAM/BAM files.
  • sqt-bam-eof -- Check for the End-Of-File marker in compressed BAM files.
  • sqt-checkfastqpe -- Check whether two FASTQ files contain correctly paired paired-end data.
Python3-treetime
inference of time stamped phylogenies and ancestral reconstruction (Python 3)
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TreeTime provides routines for ancestral sequence reconstruction and the maximum likelihoo inference of molecular-clock phylogenies, i.e., a tree where all branches are scaled such that the locations of terminal nodes correspond to their sampling times and internal nodes are placed at the most likely time of divergence.

TreeTime aims at striking a compromise between sophisticated probabilistic models of evolution and fast heuristics. It implements GTR models of ancestral inference and branch length optimization, but takes the tree topology as given. To optimize the likelihood of time-scaled phylogenies, treetime uses an iterative approach that first infers ancestral sequences given the branch length of the tree, then optimizes the positions of unconstraine d nodes on the time axis, and then repeats this cycle. The only topology optimization are (optional) resolution of polytomies in a way that is most (approximately) consistent with the sampling time constraints on the tree. The package is designed to be used as a stand-alone tool or as a library used in larger phylogenetic analysis workflows.

Features

  • ancestral sequence reconstruction (marginal and joint maximum likelihood)
  • molecular clock tree inference (marginal and joint maximum likelihood)
  • inference of GTR models
  • rerooting to obtain best root-to-tip regression
  • auto-correlated relaxed molecular clock (with normal prior)

This package provides the Python 3 module.

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R-bioc-biobase
base functions for Bioconductor
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Biobase is part of the Bioconductor project, and is used by many other packages. Biobase contains standardized data structures to represent genomic data, and functions that are needed by many other packages or which replace R functions.

Bioconductor is a project to develop innovative software tools for use in computational biology. It is based on the R language. You should already be quite familiar with R before using Bioconductor. Bioconductor packages provide flexible interactive tools for carrying out a number of different computational tasks.

Please cite: Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean Y H Yang and Jianhua Zhang: Bioconductor: Open software development for computational biology and bioinformatics. (PubMed,eprint) Genome Biology 5(10):R80 (2004)
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Remark of Debian Med team: This is a part of Bioconductor project

A nice overview about all modules of BioDonductor is given at http://www.bioconductor.org/packages/release/bioc/

R-cran-adegenet
GNU R exploratory analysis of genetic and genomic data
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Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.

Please cite: Thibaut Jombart: adegenet: a R package for the multivariate analysis of genetic markers. (PubMed,eprint) Bioinformatics 24(11):1403-5 (2008)
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R-cran-adephylo
GNU R exploratory analyses for the phylogenetic comparative method
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This GNU R package provides multivariate tools to analyze comparative data, i.e. a phylogeny and some traits measured for each taxa.

Please cite: Thibaut Jombart, François Balloux and Stéphane Dray: adephylo: new tools for investigating the phylogenetic signal in biological traits. (PubMed,eprint) Bioinformatics 26(15):1907-1909 (2010)
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R-cran-boolnet
assembling, analyzing and visualizing Boolean networks
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BoolNet is an R package that provides tools for assembling, analyzing and visualizing synchronous and asynchronous Boolean networks as well as probabilistic Boolean networks.

Please cite: Christoph Muessel, Martin Hopfensitz and Hans A. Kestler: BoolNet -- an R package for generation, reconstruction and analysis of Boolean networks. (eprint) Bioinformatics 26(6):1378-1380 (2010)
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R-cran-corrplot
Visualization of a Correlation Matrix
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A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.

R-cran-distory
GNU R distance between phylogenetic histories
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This GNU R package enables calculation of geodesic distance between phylogenetic trees and associated functions.

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R-cran-dynamictreecut
Methods for Detection of Clusters in Hierarchical Clustering
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Dendrograms Contains methods for detection of clusters in hierarchical clustering dendrograms.

R-cran-fitdistrplus
support fit of parametric distribution
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Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.

Please cite: Marie Laure Delignette-Muller Christophe Dutang: fitdistrplus: An R Package for Fitting Distributions. Journal of Statistical Software 64(4):1-34 (2015)
R-cran-forecast
GNU R forecasting functions for time series and linear models
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Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.

R-cran-genetics
GNU R package for population genetics
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Classes and methods for handling genetic data. Includes The package provides a library for the statistics environment R that contains classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, and more.

NOTE: THIS PACKAGE IS NOW OBSOLETE.

The R-Genetics project has developed an set of enhanced genetics packages to replace 'genetics'. Please visit the project homepage at http://rgenetics.org for information.

R-cran-gprofiler
Interface to the 'g:Profiler' Toolkit
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Functional enrichment analysis, gene identifier conversion and mapping homologous genes across related organisms via the 'g:Profiler' toolkit (https://biit.cs.ut.ee/gprofiler/).

R-cran-haplo.stats
GNU R package for haplotype analysis
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The package provides routines for the GNU R statistics environment for statistical Analysis of indirectly measured Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em, haplo.glm, haplo.score, haplo.power, and seqhap.

R-cran-metamix
GNU R bayesian mixture analysis for metagenomic community profiling
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Resolves complex metagenomic mixtures by analysing deep sequencing data, using a mixture model based approach. The use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species more likely to contribute to the mixture.

Please cite: Sofia Morfopoulou and Vincent Plagnol: Bayesian mixture analysis for metagenomic community profiling. (eprint) Bioinformatics 31(18):2930-2938 (2015)
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R-cran-phangorn
GNU R package for phylogenetic analysis
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phangorn is a tool for reconstructing phylogenies, using distance-based methods, maximum parsimony or maximum likelihood, and performing Hadamard conjugation. It also offers functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analysis.

R-cran-pheatmap
GNU R package to create pretty heatmaps
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GNU R implementation of heatmaps that offers more control over dimensions and appearance.

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R-cran-phylobase
GNU R base package for phylogenetic structures and comparative data
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This R package provides a base S4 class for comparative methods, incorporating one or more trees and trait data as these are used in other packages dealing with phylogenetic structures and comparative data.

R-cran-pscbs
R package: Analysis of Parent-Specific DNA Copy Numbers
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Segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumoronly analyses are supported.

Please cite: Adam B. Olshen, Henrik Bengtsson, Pierre Neuvial, Paul T. Spellman, Richard A. Olshen and Venkatraman E. Seshan: Parent-specific copy number in paired tumor-normal studies using circular binary segmentation. (PubMed,eprint) Bioinformatics 27(15):2038-2046 (2011)
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R-cran-qqman
R package for visualizing GWAS results using Q-Q and manhattan plots
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qqman is an add-on package for the R statistical environment. This package provides functions for visualizing Genome-Wide Association Studies (GWAS) results using Manhattan plots and Quantile-Quantile plots.

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R-cran-rentrez
GNU R interface to the NCBI's EUtils API
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Provides an R interface to the NCBI's EUtils API allowing users to search databases like GenBank and PubMed, process the results of those searches and pull data into their R sessions.

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R-cran-rncl
GNU R interface to the Nexus Class Library
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This R package provides an interface to the Nexus Class Library which allows parsing of NEXUS, Newick and other phylogenetic tree file formats. It provides elements of the file that can be used to build phylogenetic objects such as ape's 'phylo' or phylobase's 'phylo4(d)'.

R-cran-rnexml
GNU R package for semantically rich I/O for the 'NeXML' format
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Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.

R-cran-rotl
GNU R interface to the 'Open Tree of Life' API
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An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life' aims at assembling a comprehensive phylogenetic tree for all named species.

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R-cran-samr
GNU R significance analysis of microarrays
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This GNU R package provides significance analysis of microarrays. A microarray is a multiplex lab-on-a-chip. It is a 2D array on a solid substrate (usually a glass slide or silicon thin-film cell) that assays large amounts of biological material using high-throughput screening miniaturized, multiplexed and parallel processing and detection methods.

This package helps analysing this kind of microarrays.

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R-cran-sctransform
Variance Stabilizing Transformations for Single Cell UMI Data
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A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija 2019 for more details.

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R-cran-seqinr
GNU R biological sequences retrieval and analysis
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Exploratory data analysis and data visualization for biological sequence (DNA and protein) data. Includes also utilities for sequence data management under the ACNUC system.

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R-cran-seurat
Tools for Single Cell Genomics
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A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) , Macosko E, Basu A, Satija R, et al (2015) , and Butler A and Satija R (2017) for more details.

Please cite: Rahul Satija, Jeffrey A. Farrell, David Gennert, Alexander F. Schier and Aviv Regev: Spatial reconstruction of single-cell gene expression data. (PubMed) Nature Biotechnology 33:495–502 (2015)
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R-cran-tsne
t-distributed stochastic neighbor embedding for R (t-SNE)
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A "pure R" implementation of the t-SNE algorithm.

R-cran-vegan
Community Ecology Package for R
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R package for community ecologists. It contains most multivariate analysis needed in analysing ecological communities, and tools for diversity analysis. Most diversity methods assume that data are counts of individuals.

These tools are sometimes used outside the field of ecology, for instance to study populations of white blood cells or RNA molecules.

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R-cran-webgestaltr
find over-represented properties in gene lists
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The web version WebGestalt http://www.webgestalt.org supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.

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Ruby-bio
Ruby tools for computational molecular biology
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BioRuby project aims to implement an integrated environment for Bioinformatics with Ruby language. Design philosophy of the BioRuby library is KISS (keep it simple, stupid) to maximize the usability and the efficiency for biologists as a daily tool. The project was started in Japan and supported by University of Tokyo (Human Genome Center), Kyoto University (Bioinformatics Center) and the Open Bio Foundation.

Ruby-crb-blast
Run conditional reciprocal best blast
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CRB-BLAST is a novel method for finding orthologs between one set of sequences and another. This is particularly useful in genome and transcriptome annotation.

CRB-BLAST initially performs a standard reciprocal best BLAST. It does this by performing BLAST alignments of query->target and target->query. Reciprocal best BLAST hits are those where the best match for any given query sequence in the query->target alignment is also the best hit of the match in the reverse (target->query) alignment.

Reciprocal best BLAST is a very conservative way to assign orthologs. The main innovation in CRB-BLAST is to learn an appropriate e-value cutoff to apply to each pairwise alignment by taking into account the overall relatedness of the two datasets being compared. This is done by fitting a function to the distribution of alignment e-values over sequence lengths. The function provides the e-value cutoff for a sequence of given length.

Sbmltoolbox
libsbml toolbox for octave and matlab
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The SBMLToolbox provides a set of basic functions for reading, writing, manipulating, and simulating SBML (System Biology Meta Language) models. It is a free Open Source package on top of the libSBML with full compatibility to work with MATLAB and Octave alike and share models between the two systems.

The toolbox is not a complete turn key solution for Systems Biology. It has its emphasis on easing the handling of SBML data and serves as a starting point for users and developers to establish their own methods.

Please cite: S. M. Keating, B. J. Bornstein, A. Finney and M. Hucka: SBMLToolbox: an SBML toolbox for MATLAB users.. (eprint) Bioinformatics 22(10):1275-1277 (2006)
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Seqan-dev
C++ library for the analysis of biological sequences (development)
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SeqAn is a C++ template library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. This library applies a unique generic design that guarantees high performance, generality, extensibility, and integration with other libraries. SeqAn is easy to use and simplifies the development of new software tools with a minimal loss of performance.

This package contains the developer files, documentation and examples.

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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Snakemake
pythonic workflow management system
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Build systems like GNU Make are frequently used to create complicated workflows, e.g. in bioinformatics. This project aims to reduce the complexity of creating workflows by providing a clean and modern domain specific language (DSL) in Python style, together with a fast and comfortable execution environment.

Please cite: Johannes Köster and Sven Rahmann: Snakemake-a scalable bioinformatics workflow engine. Bioinformatics (2012)
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Toil
cross-platform workflow engine
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Toil is a scalable, efficient, cross-platform and easy-to-use workflow engine in pure Python. It works with several well established load balancers like Slurm or the Sun Grid Engine. Toil is also compatible with the Common Workflow Language (CWL) via the "toil-cwl-runner" interface, which this package make available via the Debian alternativess system under the alias "cwl-runner".

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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Official Debian packages with lower relevance

Ctdconverter
Convert CTD files into Galaxy tool and CWL CommandLineTool files
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Common Tool Descriptors (CTDs) are XML documents that represent the inputs, outputs, parameters of command line tools in a platform-independent way.

CTDConverter, given one or more Common Tool Descriptors (CTD) XML files, generates Galaxy tool wrappers and Common Workflow Language (CWL) Command Line Tool v1.0 standard descriptions from CTD files.

Libbam-dev
manipulates nucleotide sequence alignments in BAM or SAM format
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The BAM library provides I/O and various operations on manipulating nucleotide sequence alignments in the BAM (Binary Alignment/Mapping) or SAM (Sequence Alignment/Map) format. It now supports importing from or exporting to SAM, sorting, merging, generating pileup, and quickly retrieval of reads overlapped with a specified region.

This library is part of SAMtools version 0.1.19. It is obsolete and provided only to build software that has not yet transitioned to the HTSlib, which replaces this library.

Libdisorder-dev
library for entropy measurement of byte streams (devel)
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This library provides a function to calculate the Shannon index (H) of byte streams.

This is the development package containing the statically linked library and the header files.

Libfreecontact-doc
documentation for libfreecontact
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FreeContact is a protein residue contact predictor optimized for speed. Its input is a multiple sequence alignment. FreeContact can function as an accelerated drop-in for the published contact predictors EVfold-mfDCA of DS. Marks (2011) and PSICOV of D. Jones (2011).

FreeContact is accelerated by a combination of vector instructions, multiple threads, and faster implementation of key parts. Depending on the alignment, 8-fold or higher speedups are possible.

A sufficiently large alignment is required for meaningful results. As a minimum, an alignment with an effective (after-weighting) sequence count bigger than the length of the query sequence should be used. Alignments with tens of thousands of (effective) sequences are considered good input.

jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite can be used to generate the alignments, for example.

This package contains HTML documentation for libfreecontact.

Please cite: László Kaján, Thomas A. Hopf, Matúš Kalaš, Debora S. Marks and Burkhard Rost: FreeContact: fast and free software for protein contact prediction from residue co-evolution. BMC Bioinformatics (2014)
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Libgtextutils-dev
Gordon Text_utils library (development files)
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The Gordon Text_utils (gtextutils) library is a text utilities library used by the FASTX-Toolkit, a suite of programs for biological sequence analysis.

Development files for the Gordon Text_utils (gtextutils) library.

Libmilib-java
library for Next Generation Sequencing (NGS) data processing
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A helping Java package adopted by a range of Open Source tools for the analysis of B and T cell repertoires.

Libmodhmm-dev
library for constructing, training and scoring hidden Markov models (dev)
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Library for constructing, training and scoring hidden Markov models. It is provided with PSORTb but might be used separately.

PSORTb enables prediction of bacterial protein subcellular localization (SCL) and provides a quick and inexpensive means for gaining insight into protein function, verifying experimental results, annotating newly sequenced bacterial genomes, detecting potential cell surface/secreted drug targets, as well as identifying biomarkers for microbes.

This library needed by PSORTb is distributed separately by upstream.

This package contains the static library which is needed to link PSORTb.

Please cite: Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, S. Cenk Sahinalp, Martin Ester, Leonard J. Foster and F. S. Brinkman: PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. (PubMed,eprint) Bioinformatics 26(13):1608-1615 (2010)
Libpbcopper-dev
data structures, algorithms, and utilities for C++ applications -- header files
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pbcopper provides general tools for C++ applications. It is developed for use by applications of the Pacific Biosciences SMRT Analysis suite.

This package contains the header files and static library

Librostlab-blast-doc
very fast C++ library for parsing the output of NCBI BLAST programs (doc)
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This package provides a very fast library for parsing the default output of NCBI BLAST programs into a C++ structure.

libzerg is faster, but it provides only lexing (i.e. it only returns pairs of token identifiers and token string values). librostlab-blast uses a parser generated with bison on top of a flex-generated lexer very similar to that of libzerg.

This package contains html and pdf documentation.

Librostlab-doc
C++ library for computational biology (documentation)
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This library was developed by the Rost Lab. The lab's research is driven by a conviction that protein and DNA sequences encode a significant core of information about the ultimate structure and function of genetic material and its gene products.

The library provides the following facilities:

  • current working directory resource
  • exception with stack backtrace
  • file lock resource
  • passwd and group structures for C++
  • effective uid and gid resource
  • rostlab::bio::seq class with stream input operator for FASTA format
  • umask resource

This package contains html documentation.

Libsvmloc-dev
PSORTb adapted library for svm machine-learning library (dev)
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Libsvm is a machine-learning library which is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection.

PSORTb was featuring a code copy plus some local additions. This library is linked against the Debian packaged libsvn and just contains the PSORTb extensions.

PSORTb enables prediction of bacterial protein subcellular localization (SCL) and provides a quick and inexpensive means for gaining insight into protein function, verifying experimental results, annotating newly sequenced bacterial genomes, detecting potential cell surface/secreted drug targets, as well as identifying biomarkers for microbes.

This library needed by PSORTb is distributed separately by upstream.

This package contains the static library which is needed to link PSORTb.

Please cite: Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, S. Cenk Sahinalp, Martin Ester, Leonard J. Foster and F. S. Brinkman: PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. (PubMed,eprint) Bioinformatics 26(13):1608-1615 (2010)
Python-biopython-doc
Documentation for the Biopython library
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Documentation and examples about how to use the Biopython library.

This package also contains the unit tests of the test suite to enable reproducing the test results.

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-alignlib
edit and Hamming distances for biological sequences
Maintainer: Steffen Moeller
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A small Python module providing edit distance and Hamming distance computation. It is a dependency for the IgDiscover package and likely future others.

Python3-biopython-sql
Biopython support for the BioSQL database schema (Python 3)
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This is the Biopython interface to a BioSQL database (see www.biosql.org for details). BioPerl, BioJava and BioRuby also provide their own BioSQL interfaces onto the same shared SQL schema.

This package is targeting Python version 3.

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-ctdopts
Gives your Python tools a CTD-compatible interface
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Common Tool Descriptors (CTDs) are XML documents that represent the inputs, outputs, parameters of command line tools in a platform-independent way.

CTDopts is a module for enabling tools with CTD reading/writing, argument parsing, validating and manipulating capabilities.

Python3-pyflow
lightweight parallel task engine for Python
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pyFlow is a tool to manage tasks in the context of a task dependency graph. It has some similarities to make. pyFlow is not a program – it is a Python module, and workflows are defined using pyFlow by writing regular Python code with the pyFlow API.

R-bioc-affy
BioConductor methods for Affymetrix Oligonucleotide Arrays
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This is part of the BioConductor GNU R suite. The package contains functions for exploratory oligonucleotide array analysis.

Please cite: Laurent Gautier, Leslie Cope, Benjamin M. Bolstad and Rafael A. Irizarry: affy - analysis of Affymetrix GeneChip data at the probe level. (PubMed,eprint) Bioinformatics (3):307-315 (2004)
R-bioc-affyio
BioConductor tools for parsing Affymetrix data files
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This BioConductor package provides routines for parsing Affymetrix data files based upon file format information. Primary focus is on accessing the CEL and CDF file formats.

R-bioc-altcdfenvs
BioConductor alternative CDF environments
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This BioConductor module provides alternative CDF environments (aka probeset mappings) which are Convenience data structures and functions to handle cdfenvs.

Please cite: Laurent Gautier, Morten Mooller, Lennart Friis-Hansen and Steen Knudsen: Alternative mapping of probes to genes for Affymetrix chips. (PubMed,eprint) BMC Bioinformatics (5):111 (2004)
R-bioc-annotate
BioConductor annotation for microarrays
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This BioConductor module provides methods for annotation for microarrays

R-bioc-annotationdbi
GNU R Annotation Database Interface for BioConductor
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This BioConductor module provides user interface and database connection code for annotation data packages using SQLite data storage.

R-bioc-annotationhub
GNU R client to access AnnotationHub resources
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This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, Ensembl) can be discovered. The resource includes metadata about each resource, e.g., a textual description, tags, and date of modification. The client creates and manages a local cache of files retrieved by the user, helping with quick and reproducible access.

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R-bioc-aroma.light
BioConductor methods normalization and visualization of microarray data
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This BioConductor module provides light-weight methods for normalization and visualization of microarray data using only basic R data types.

Methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.

Please cite: Henrik Bengtsson, Pierre Neuvial and Terence P. Speed: TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. (PubMed,eprint) BMC Bioinformatics 11:245 (2010)
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R-bioc-biocgenerics
generic functions for Bioconductor
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S4 generic functions needed by many other Bioconductor packages.

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.

Please cite: Wolfgang Huber, Vincent J Carey, Robert Gentleman, Simon Anders, Marc Carlson, Benilton S Carvalho, Hector Corrada Bravo, Sean Davis, Laurent Gatto, Thomas Girke, Raphael Gottardo, Florian Hahne, Kasper D Hansen, Rafael A Irizarry, Michael Lawrence, Michael I Love, James MacDonald, Valerie Obenchain, Andrzej K Oleś, Hervé Pagès, Alejandro Reyes, Paul Shannon, Gordon K Smyth, Dan Tenenbaum, Levi Waldron and Martin Morgan: Orchestrating high-throughput genomic analysis with Bioconductor. (PubMed) Nature Methods (2015)
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R-bioc-biomart
GNU R Interface to BioMart databases (Ensembl, COSMIC, Wormbase and Gramene)
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In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. biomaRt provides an interface to a growing collection of databases implementing the BioMart software suite (http://www.biomart.org). The package enables retrieval of large amounts of data in a uniform way without the need to know the underlying database schemas or write complex SQL queries. Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene, Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt users direct access to a diverse set of data and enable a wide range of powerful online queries from gene annotation to database mining.

Please cite: Steffen Durinck, Paul T. Spellman, Ewan Birney and Wolfgang Huber: Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt. (PubMed) Nature Protocols 4(8):1184-1191 (2009)
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R-bioc-biomformat
GNU R interface package for the BIOM file format
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This is an R package for interfacing with the BIOM format. This package includes basic tools for reading biom-format files, accessing and subsetting data tables from a biom object (which is more complex than a single table), as well as limited support for writing a biom-object back to a biom-format file. The design of this API is intended to match the Python API and other tools included with the biom-format project, but with a decidedly "R flavor" that should be familiar to R users. This includes S4 classes and methods, as well as extensions of common core functions/methods.

R-bioc-biostrings
GNU R string objects representing biological sequences
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Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or set of sequences.

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R-bioc-biovizbase
GNU R basic graphic utilities for visualization of genomic data
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The biovizBase package is designed to provide a set of utilities, color schemes and conventions for genomic data. It serves as the base for various high-level packages for biological data visualization. This saves development effort and encourages consistency.

R-bioc-bitseq
transcript expression inference and analysis for RNA-seq data
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The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNA-seq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNA-seq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, Log-Normal model of the estimates is used for inferring the condition mean transcript expression and ranking the transcripts based on the likelihood of differential expression.

Please cite: Peter Glaus, Antti Honkela and Magnus Rattray: Identifying differentially expressed transcripts from RNA-seq data with biological variation. (PubMed,eprint) Bioinformatics 28(13):1721–1728 (2012)
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R-bioc-bsgenome
BioConductor infrastructure for Biostrings-based genome data packages
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This BioConductor module provides some basic infrastructure for Biostrings-based genome data packages.

R-bioc-cner
CNE Detection and Visualization
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Large-scale identification and advanced visualization of sets of conserved noncoding elements.

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R-bioc-cummerbund
tool for analysis of Cufflinks RNA-Seq output
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Allows for persistent storage, access, exploration, and manipulation of Cufflinks high-throughput sequencing data. In addition, provides numerous plotting functions for commonly used visualizations.

Please cite: L. Goff and C. Trapnell: cummeRbund: Analysis, exploration, manipulation, and visualization of Cufflinks high-throughput sequencing data (2012)
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R-bioc-deseq2
R package for RNA-Seq Differential Expression Analysis
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Differential gene expression analysis based on the negative binomial distribution. Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.

Please cite: Michael I Love, Wolfgang Huber and Simon Anders: Moderated estimation of fold change and dispersion for {RNA}-seq data with {DESeq}2. (eprint) Genome Biol 15(12) (2014)
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R-bioc-dnacopy
R package: DNA copy number data analysis
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Implements the circular binary segmentation (CBS) algorithm to segment DNA copy number data and identify genomic regions with abnormal copy number.

This package is for analyzing array DNA copy number data, which is usually (but not always) called array Comparative Genomic Hybridization (array CGH) data It implements a methodology for finding change-points in these data which are points after which the (log) test over reference ratios have changed location. This model is that the change-points correspond to positions where the underlying DNA copy number has changed. Therefore, change-points can be used to identify regions of gained and lost copy number. Also provided is a function for making relevant plots of these data.

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R-bioc-ebseq
R package for RNA-Seq Differential Expression Analysis
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r-bioc-ebseq is an R package for identifying genes and isoforms differentially expressed (DE) across two or more biological conditions in an RNA-seq experiment.

Please cite: Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M. G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart and Christina Kendziorski: EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. (eprint) Bioinformatics 29(8):1035-1043 (2013)
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R-bioc-ensembldb
GNU R utilities to create and use an Ensembl based annotation database
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The package provides functions to create and use transcript centric annotation databases/packages. The annotation for the databases are directly fetched from Ensembl using their Perl API. The functionality and data is similar to that of the TxDb packages from the GenomicFeatures package, but, in addition to retrieve all gene/transcript models and annotations from the database, the ensembldb package provides also a filter framework allowing to retrieve annotations for specific entries like genes encoded on a chromosome region or transcript models of lincRNA genes.

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R-bioc-genefilter
methods for filtering genes from microarray experiments
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This BioConductor module provides methods for filtering genes from microarray experiments. It contains some basic functions for filtering genes.

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R-bioc-geneplotter
R package of functions for plotting genomic data
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geneplotter contains plotting functions for microarrays

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R-bioc-genomeinfodb
BioConductor utilities for manipulating chromosome identifiers
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This package contains BioConductor utilities for manipulating chromosome and other 'seqname' identifiers.

The Seqnames package contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., "chr1" versus "1"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.

R-bioc-genomicalignments
BioConductor representation and manipulation of short genomic alignments
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This BioConductor package provides efficient containers for storing and manipulating short genomic alignments (typically obtained by aligning short reads to a reference genome). This includes read counting, computing the coverage, junction detection, and working with the nucleotide content of the alignments.

Please cite: Michael Lawrence, Wolfgang Huber, Hervé Pagès, Patrick Aboyoun, Marc Carlson, Robert Gentleman, Martin T. Morgan and Vincent J. Carey: Software for Computing and Annotating Genomic Ranges. (PubMed,eprint) PLoS Computational Biology 9(8):e1003118 (2013)
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R-bioc-genomicfeatures
GNU R tools for making and manipulating transcript centric annotations
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A set of tools and methods for making and manipulating transcript centric annotations. With these tools the user can easily download the genomic locations of the transcripts, exons and cds of a given organism, from either the UCSC Genome Browser or a BioMart database (more sources will be supported in the future). This information is then stored in a local database that keeps track of the relationship between transcripts, exons, cds and genes. Flexible methods are provided for extracting the desired features in a convenient format.

Please cite: M. Lawrence, W. Huber, H. Pagès, P. Aboyoun and M. Carlson et al.: Software for Computing and Annotating Genomic Ranges. (PubMed,eprint) PLoS Comput Biol 9(8):e1003118 (2013)
R-bioc-genomicranges
BioConductor representation and manipulation of genomic intervals
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The ability to efficiently store genomic annotations and alignments is playing a central role when it comes to analyze high-throughput sequencing data (a.k.a. NGS data). The package defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome.

R-bioc-go.db
annotation maps describing the entire Gene Ontology
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This package is part of BioConductor and provides a set of annotation maps describing the entire Gene Ontology assembled using data from GO.

The package helps running the test suites of some BioConductor packages.

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R-bioc-graph
handle graph data structures for BioConductor
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This BioConductor module implements some simple graph handling capabilities. These are for instance used in hypergraph module which in turn is used by several other BioConductor packages.

R-bioc-gviz
Plotting data and annotation information along genomic coordinates
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Genomic data analyses requires integrated visualization of known genomic information and new experimental data. Gviz uses the biomaRt and the rtracklayer packages to perform live annotation queries to Ensembl and UCSC and translates this to e.g. gene/transcript structures in viewports of the grid graphics package. This results in genomic information plotted together with your data.

Please cite: Michael Lawrence, Robert Gentleman and "Vincent Carey: rtracklayer: an R package for interfacing with genome browsers. (PubMed,eprint) Bioinformatics 25(14):1841-1842 (2009)
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R-bioc-hypergraph
BioConductor hypergraph data structures
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This package BioConductor implements some simple capabilities for representing and manipulating hypergraphs.

R-bioc-impute
Imputation for microarray data
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R package which provide a function to perform imputation for microarray data (currently KNN only).

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R-bioc-iranges
GNU R low-level containers for storing sets of integer ranges
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The IRanges class and its extensions are low-level containers for storing sets of integer ranges. A typical use of these containers in biology is for representing a set of chromosome regions. More specific extensions of the IRanges class will typically allow the storage of additional information attached to each chromosome region as well as a hierarchical relationship between these regions.

R-bioc-limma
linear models for microarray data
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A Bioconductor package for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The package includes pre-processing capabilities for two-colour spotted arrays. The differential expression methods apply to all array platforms and treat Affymetrix, single channel and two channel experiments in a unified way.

Please cite: Gordon K. Smyth: Limma: linear models for microarray data. (eprint) :397-420 (2005)
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R-bioc-makecdfenv
BioConductor CDF Environment Maker
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