2008
DOI: 10.1093/nar/gkn304
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RSAT: regulatory sequence analysis tools

Abstract: 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 … Show more

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Cited by 248 publications
(243 citation statements)
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“…yeastgemome.org). Candidate binding motifs in a given set of genes for transcriptional factors were identified using regulatory sequence analysis (RSA) tools [71,73]. Five to eight oligonucleotide sizes in the promoter regions of genes were chosen while searching for transcription factor binding motifs.…”
Section: Synthesis Of 56messmentioning
confidence: 99%
“…yeastgemome.org). Candidate binding motifs in a given set of genes for transcriptional factors were identified using regulatory sequence analysis (RSA) tools [71,73]. Five to eight oligonucleotide sizes in the promoter regions of genes were chosen while searching for transcription factor binding motifs.…”
Section: Synthesis Of 56messmentioning
confidence: 99%
“…In this regard, oligo-analysis in Regulatory Sequence Analysis Tools (RSAT; http://rsat. ulb.ac.be/rsat/) (Thomas-Chollier et al 2008) was used to search for 8-bp sequences that were significantly overrepresented in the promoter regions of genes in this cluster (see Materials and methods for details). The results showed that two motifs, AAAATATC and AAATATCT, were over-represented.…”
Section: Known and Potential Cis-elementsmentioning
confidence: 99%
“…Sequence alignments were performed using Clustal W. Consensus sequence analysis was performed using the regulatory sequence analysis tool (Thomas-Chollier et al, 2008). Binding constants were determined by regression analysis using Sigmaplot 12.0.…”
Section: Discussionmentioning
confidence: 99%