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Nucleic Acids Research Advance Access originally published online on May 21, 2008
Nucleic Acids Research 2008 36(Web Server issue):W119-W127; doi:10.1093/nar/gkn304
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Nucleic Acids Research, 2008, Vol. 36, No. suppl_2 W119-W127
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Articles

RSAT: regulatory sequence analysis tools

Morgane Thomas-Chollier, Olivier Sand, Jean-Valéry Turatsinze, Rekin's Janky, Matthieu Defrance, Eric Vervisch, Sylvain Brohée and Jacques van Helden*

Laboratoire de Bioinformatique des Génomes et des Réseaux (BiGRe), Université Libre de Bruxelles, Campus Plaine, CP 263. Bld du Triomphe, B-1050 Bruxelles, Belgium

*To whom correspondence should be addressed. Tel: +32 2 650 20 13; Fax: +32 2 650 54 25; Email: jacques.van.helden{at}ulb.ac.be

Received January 31, 2008. Revised April 22, 2008. Accepted April 30, 2008.

The regulatory sequence analysis tools (RSAT, http://rsat.ulb.ac.be/rsat/) is a software suite that integrates a wide collection of modular tools for the detection of cis-regulatory elements in genome sequences. The suite includes programs for sequence retrieval, pattern discovery, phylogenetic footprint detection, pattern matching, genome scanning and feature map drawing. Random controls can be performed with random gene selections or by generating random sequences according to a variety of background models (Bernoulli, Markov). Beyond the original word-based pattern-discovery tools (oligo-analysis and dyad-analysis), we recently added a battery of tools for matrix-based detection of cis-acting elements, with some original features (adaptive background models, Markov-chain estimation of P-values) that do not exist in other matrix-based scanning tools. The web server offers an intuitive interface, where each program can be accessed either separately or connected to the other tools. In addition, the tools are now available as web services, enabling their integration in programmatic workflows. Genomes are regularly updated from various genome repositories (NCBI and EnsEMBL) and 682 organisms are currently supported. Since 1998, the tools have been used by several hundreds of researchers from all over the world. Several predictions made with RSAT were validated experimentally and published.

The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors


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