PEAKS: identification of regulatory motifs by their position in DNA sequences

NICOLAS BELLORA; DOMENEC FARRE; M. MAR ALBA

BIOINFORMATICS (OXFORD, ENGLAND)

OXFORD UNIV PRESS

Lugar: Oxford; Año: 2006 vol. 23 p. 243 - 244

1367-4803

Many DNA functional motifs tend to accumulate or cluster atspecific gene locations. These locations can be detected, in a group ofgene sequences, as high frequency ‘peaks’ with respect to a referenceposition, such as the transcription start site (TSS).We have developeda web tool for the identification of regions containing significant motifpeaks. We show, by using different yeast gene datasets, that peakregions are strongly enriched in experimentally-validated motifs andcontain potentially important novel motifs.