title: PEAKS: identification of regulatory motifs by their position in DNA sequences.
abstract: 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.
  
  
  BACKGROUND
  http://genomics.imim.es/peaks
authors.affiliation: Research Unit on Biomedical Informatics, Universitat Pompeu Fabra, Barcelona 08003, Spain.
authors.forename: Nicolás
authors.initials: N
authors.lastname: Bellora
authors.forename: Domènec
authors.initials: D
authors.lastname: Farré
authors.forename: M
authors.initials: M
authors.lastname: Mar Albà
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D002874:Chromosome Mapping / Q000379:methods*; D004247:DNA / Q000235:genetics*; D008969:Molecular Sequence Data; D010363:Pattern Recognition, Automated / Q000379:methods; D012045:Regulatory Sequences, Nucleic Acid / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D015533:Transcriptional Activation / Q000235:genetics
chemical_list: D004247:DNA