title: MEME-LaB: motif analysis in clusters.
abstract: CONCLUSIONS
  Genome-wide expression analysis can result in large numbers of clusters of co-expressed genes. Although there are tools for ab initio discovery of transcription factor-binding sites, most do not provide a quick and easy way to study large numbers of clusters. To address this, we introduce a web tool called MEME-LaB. The tool wraps MEME (an ab initio motif finder), providing an interface for users to input multiple gene clusters, retrieve promoter sequences, run motif finding and then easily browse and condense the results, facilitating better interpretation of the results from large-scale datasets.
  
  
  BACKGROUND
  MEME-LaB is freely accessible at: http://wsbc.warwick.ac.uk/wsbcToolsWebpage/.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, UK. p.e.brown@warwick.ac.uk
authors.forename: Paul
authors.initials: P
authors.lastname: Brown
authors.forename: Laura
authors.initials: L
authors.lastname: Baxter
authors.forename: Richard
authors.initials: R
authors.lastname: Hickman
authors.forename: Jim
authors.initials: J
authors.lastname: Beynon
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Moore
authors.forename: Sascha
authors.initials: S
authors.lastname: Ott
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D016000:Cluster Analysis; D020407:Internet; D059372:Nucleotide Motifs; D011401:Promoter Regions, Genetic; D017422:Sequence Analysis, DNA; D012984:Software; D014157:Transcription Factors / Q000378:metabolism*
chemical_list: D014157:Transcription Factors