PEAKS: identification of regulatory motifs by their position in DNA sequences
Author(s) -
Nicolás Bellora,
Domènec Farré,
M. Mar Albà
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl568
Subject(s) - computational biology , gene , dna , biology , identification (biology) , genetics , dna sequencing , regulatory sequence , motif (music) , web site , transcription factor , computer science , world wide web , the internet , physics , acoustics , botany
Many DNA functional motifs tend to accumulate or cluster at specific gene locations. These locations can be detected, in a group of gene sequences, as high frequency 'peaks' with respect to a reference position, such as the transcription start site (TSS). We have developed a web tool for the identification of regions containing significant motif peaks. We show, by using different yeast gene datasets, that peak regions are strongly enriched in experimentally-validated motifs and contain potentially important novel motifs.
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