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RSAT 2015: Regulatory Sequence Analysis Tools

delete2015-04-22
delete196
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OA
AI
A
Alejandra Medina-Rivera
M
Matthieu Defrance
O
Olivier Sand
C
Carl Herrmann
J
Jaime A. Castro-Mondragón
J
Jérémy Delerce
S
Sébastien Jaeger
C
Christophe Blanchet
P
Pierre Vincens
C
Christophe Caron
D
D. Staines
B
Bruno Contreras‐Moreira
M
Marie Artufel
L
Lucie Charbonnier-Khamvongsa
C
Céline Hernandez
D
Denis Thieffry
M
Morgane Thomas‐Chollier *
J
Jacques van Helden
DOI:10.1093/nar/gkv362delete
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Abstract

Abstract

En 中文
RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding motif analysis (quality assessment, comparisons and clustering), (iii) comparative genomics and (iv) analysis of regulatory variations. Nine new programs have been added to the 43 described in the 2011 NAR Web Software Issue, including a tool to extract sequences from a list of coordinates (fetch-sequences from UCSC), novel programs dedicated to the analysis of regulatory variants from GWAS or population genomics (retrieve-variationseq and variation-scan), a program to cluster mo-tifs and visualize the similarities as trees (matrix-clustering). To deal with the drastic increase of sequenced genomes, RSAT public sites have been reorganized into taxon-specific servers. The suite is well-documented with tutorials and published protocols. The software suite is available through Web sites, SOAP/WSDL Web services, virtual machines and stand-alone programs at http://www.rsat.eu/.
Keywords:
SIZE CHIP-SEQ
GENOME SEQUENCES
COMPUTATIONAL ANALYSIS
COREGULATED GENES
PEAK-MOTIFS
DATA SETS
DISCOVERY
ELEMENTS
PROMOTERS
NETWORKS
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Nucleic Acids Research cover
Nucleic Acids Research
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