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RSAT: regulatory sequence analysis tools
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 foot...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447775/ https://www.ncbi.nlm.nih.gov/pubmed/18495751 http://dx.doi.org/10.1093/nar/gkn304 |
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author | Thomas-Chollier, Morgane Sand, Olivier Turatsinze, Jean-Valéry Janky, Rekin's Defrance, Matthieu Vervisch, Eric Brohée, Sylvain van Helden, Jacques |
author_facet | Thomas-Chollier, Morgane Sand, Olivier Turatsinze, Jean-Valéry Janky, Rekin's Defrance, Matthieu Vervisch, Eric Brohée, Sylvain van Helden, Jacques |
author_sort | Thomas-Chollier, Morgane |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2447775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-24477752008-07-09 RSAT: regulatory sequence analysis tools Thomas-Chollier, Morgane Sand, Olivier Turatsinze, Jean-Valéry Janky, Rekin's Defrance, Matthieu Vervisch, Eric Brohée, Sylvain van Helden, Jacques Nucleic Acids Res Articles 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. Oxford University Press 2008-07-01 2008-05-21 /pmc/articles/PMC2447775/ /pubmed/18495751 http://dx.doi.org/10.1093/nar/gkn304 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ 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. |
spellingShingle | Articles Thomas-Chollier, Morgane Sand, Olivier Turatsinze, Jean-Valéry Janky, Rekin's Defrance, Matthieu Vervisch, Eric Brohée, Sylvain van Helden, Jacques RSAT: regulatory sequence analysis tools |
title | RSAT: regulatory sequence analysis tools |
title_full | RSAT: regulatory sequence analysis tools |
title_fullStr | RSAT: regulatory sequence analysis tools |
title_full_unstemmed | RSAT: regulatory sequence analysis tools |
title_short | RSAT: regulatory sequence analysis tools |
title_sort | rsat: regulatory sequence analysis tools |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447775/ https://www.ncbi.nlm.nih.gov/pubmed/18495751 http://dx.doi.org/10.1093/nar/gkn304 |
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