Référentiel des outils installés sur la plateforme Migale

cluster-3.0 (version 3.0 - 2013-05-24)
The open source clustering software available here implement the most commonly used clustering methods for gene expression data analysis. The clustering methods can be used in several ways.Cluster 3.0 provides a Graphical UserInterface to access to the clustering routines. It is available for Windows, Mac OS X, and Linux/Unix. Python users can access the clustering routines by using Pycluster, which is an extension module to Python. People that want to make use of the clustering algorithms in their own C, C++, or Fortran programs can download the source code of the C Clustering Library.
Usage : #cluster

CNVnator (version 0.3 - 2015-02-13)
CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing.
Usage : #cnvnator

COLONY (version - 2017-05-02)
COLONY is a Fortran program written by Jinliang Wang. It implements a maximum likelihood method to assign sibship and parentage jointly, using individual multilocus genotypes at a number of codominant or dominant marker loci.

consed (version 22.0 - 2014-04-30)
Consed/Autofinish is a tool for viewing, editing, and finishing sequence assemblies created with phrap. Finishing capabilities include allowing the user to pick primers and templates, suggesting additional sequencing reactions to perform, and facilitating checking the accuracy of the assembly using digest and forward/reverse pair information.
Remarque : Voir aussi autofinishs (http://www.ncbi.nlm.nih.gov:80/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=11282977s)
Usage : #consed

cross_match (version 0.990329 - 2002-11-06)
Cross_Match uses the same algorithm as Swat but also allows the comparison of a pair of sequences to be constrained to bands of the Smith-Waterman matrix that surround one or more matching words in the sequences. This substantially increases speed for large-scale nucleotide sequence comparisons without compromising sensitivity.
Usage : #cross_match

cufflinks (version 2.2.0 - 2014-05-06)
Cufflinks assembles transcripts and estimates their abundances in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one.
Usage : #cufflinks [options]*

dadi (version 1.7 - 2016-07-18)
Remarque : If you use ???a???i in your research, please cite RN Gutenkunst, RD Hernandez, SH Williamson, CD Bustamante "Inferring the joint demographic history of multiple populations from multidimensional SNP data" PLoS Genetics 5:e1000695 (2009).

DART (version 1.2.4 - 2018-01-09)
DART: a fast and accurate RNA-seq mapper with a divide and conquer strategy
Usage : #dart -i Index_Prefix -f [-f2 ]

debarcer (version 0.3.1 - 2017-03-21)
Debarcer (De-Barcoding and Error Correction) is a package for working withnext-gen sequencing data that contains molecular barcodes.As it stands, it supports targeted sequencing libraries generated bySimSenSeq, a method of creating multiplexed barcoded sequencing librariesusing PCR.
Usage : #runDebarcer.sh -u

delly (version 0.6.3 - 2015-02-25)
DELLY is an integrated structural variant prediction method that can detect deletions, tandem duplications, inversions and translocations at single-nucleotide resolution in short-read massively parallel sequencing data. It uses paired-ends and split-reads to sensitively and accurately delineate genomic rearrangements throughout the genome.
Remarque : CitationTobias Rausch, Thomas Zichner, Andreas Schlattl, Adrian M. Stuetz, Vladimir Benes, Jan O. Korbel.Delly: structural variant discovery by integrated paired-end and split-read analysis.Bioinformatics 2012 28: i333-i339.
Usage : #Usage: delly [OPTIONS] ...


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by Dr. Radut