MEME-LaB: motif analysis in clusters

作者:Brown Paul*; Baxter Laura; Hickman Richard; Beynon Jim; Moore Jonathan D; Ott Sascha
来源:Bioinformatics, 2013, 29(13): 1696-1697.
DOI:10.1093/bioinformatics/btt248

摘要

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.

  • 出版日期2013-7-1