A computational approach to regulatory element discovery in eukaryotes

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dc.creatorCaselle, M.
dc.creatorDi Cunto, F.
dc.creatorProvero, P.
dc.date2003-05-13
dc.date.accessioned2026-07-07T02:51:19Z
dc.date.available2026-07-07T02:51:19Z
dc.descriptionGene regulation in Eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational method to identify regulatory elements in the upstream region of Eukaryotic genes. The genes are grouped in sets sharing an overrepresented short motif in their upstream sequence. For each set, the average expression level from a microarray experiment is determined: if this level is significantly higher or lower than the average taken over the whole genome, then the overrepresented motif shared by the genes in the set is likely to play a role in their regulation. We illustrate the method by applying it to the genome of {\it S. cerevisiae}, for which many datasets of microarray experiments are publicly available. Several known binding motifs are correctly recognized by our algorithm, and a new candidate is suggested for experimental verification.
dc.description7 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0305279
dc.identifierhttp://arxiv.org/abs/cond-mat/0305279
dc.identifierProceedings of the 2002 ECMTB conference
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/21404
dc.subjectDisordered Systems and Neural Networks
dc.subjectBiological Physics
dc.subjectGenomics
dc.titleA computational approach to regulatory element discovery in eukaryotes
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