Référentiel des outils installés sur la plateforme Migale
La liste des packages R installés sur la plateforme Migale est disponible ici.
circos (version 0.64 - 2013-01-20)
Circos is a software package for visualizing data and information. Itvisualizes data in a circular layout — this makes Circos ideal for exploringrelationships between objects or positions. There are other reasons why acircular layout is advantageous, not the least being the fact that it isattractive.
Download : http://circos.ca/software/download/
Documentation : http://www.circos.ca/documentation/tutorials/
Usage : #circos
clustal-omega (version 1.1.0 - 2012-07-17)
Clustal Omega is the latest addition to the Clustal family. It offers a significant increase in scalability over previous versions, allowing hundreds of thousands of sequences to be aligned in only a few hours. It will also make use of multiple processors, where present. In addition, the quality of alignments is superior to previous versions, as measured by a range of popular benchmarks.
Download : http://www.clustal.org/omega/#Download
Documentation : http://www.clustal.org/omega/#Documentation
Remarque : Citing Clustal:Sievers F, Wilm A, Dineen DG, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Söding J, Thompson JD, Higgins DG (2011). Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 7.
Usage : #clustalo --help
clustalx (version 2.1 - 2013-12-29)
Multiple sequence alignment program. It provides an integrated environment for performing multiple sequence and profile alignments and analysing the results.
Download : http://www.clustal.org/download/current/
Documentation : http://www.clustal.org/download/clustalx_help.html
Usage : #clustalx (en mode graphique) ou clustalw2 (en mode ligne de commande)
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.
Documentation : http://bonsai.hgc.jp/~mdehoon/software/cluster/manual/index.html
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.
Download : http://sv.gersteinlab.org/cnvnator
Usage : #cnvnator
COLONY (version 18.104.22.168 - 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.
Download : https://www.zsl.org/science/software/colony
Commet (version https://github.com/pierrepeterlongo/commet/archive/master.zip - 2018-05-04)
COMMET (“COmpare Multiple METagenomes”) provides a global similarity overview between all datasets of a large metagenomic project. Directly from non-assembled reads, all against all comparisons are performed through an efficient indexing strategy. Then, results are stored as bit vectors, a compressed representation of read files, that can be used to further combine read subsets by common logical operations. Finally, COMMET computes a clusterization of metagenomic datasets, which is visualized by dendrogram and heatmaps.
Documentation : https://colibread.inria.fr/software/commet/
Remarque : Citation: Nicollas Maillet, Guillaume Collet, Thomas Vannier, Dominique Lavenier, and Pierre Peterlongo. “COMMET: comparing and combining multiple metagenomic datasets” IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2014.
Usage : #Commet.py [-h] [--sge] [--one_vs_all] [-b] [-o] [-k K] [-t T] [-l L] [-n N] [-e E] [-m M] input_file
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.
Documentation : http://bozeman.mbt.washington.edu/consed/consed.html
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.
Download : http://www.phrap.org/phredphrapconsed.html
Documentation : http://www.phrap.org/phredphrap/general.html
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.
Download : http://cufflinks.cbcb.umd.edu/downloads/
Documentation : http://cufflinks.cbcb.umd.edu/manual.html
Usage : #cufflinks [options]*