RSAT 2011: regulatory sequence analysis tools

Morgane Thomas‐Chollier(Université Libre de Bruxelles), Matthieu Defrance(Université Libre de Bruxelles), Alejandra Medina-Rivera(Centre National de la Recherche Scientifique), Olivier Sand(Université Libre de Bruxelles), Carl Herrmann(Université Libre de Bruxelles), Denis Thieffry(Université Libre de Bruxelles), Jacques van Helden(Université Libre de Bruxelles)
Nucleic Acids Research
June 29, 2011
Cited by 231Open Access
Full Text

Abstract

RSAT (Regulatory Sequence Analysis Tools) comprises a wide collection of modular tools for the detection of cis-regulatory elements in genome sequences. Thirteen new programs have been added to the 30 described in the 2008 NAR Web Software Issue, including an automated sequence retrieval from EnsEMBL (retrieve-ensembl-seq), two novel motif discovery algorithms (oligo-diff and info-gibbs), a 100-times faster version of matrix-scan enabling the scanning of genome-scale sequence sets, and a series of facilities for random model generation and statistical evaluation (random-genome-fragments, random-motifs, random-sites, implant-sites, sequence-probability, permute-matrix). Our most recent work also focused on motif comparison (compare-matrices) and evaluation of motif quality (matrix-quality) by combining theoretical and empirical measures to assess the predictive capability of position-specific scoring matrices. To process large collections of peak sequences obtained from ChIP-seq or related technologies, RSAT provides a new program (peak-motifs) that combines several efficient motif discovery algorithms to predict transcription factor binding motifs, match them against motif databases and predict their binding sites. Availability (web site, stand-alone programs and SOAP/WSDL (Simple Object Access Protocol/Web Services Description Language) web services): http://rsat.ulb.ac.be/rsat/.


Related Papers

No related papers found

Powered by citation graph analysis