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MEME-LaB: motif analysis in clusters.

ABSTRACT:

Summary

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.

Availability

MEME-LaB is freely accessible at: http://wsbc.warwick.ac.uk/wsbcToolsWebpage/.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Brown P

PROVIDER: S-EPMC3694638 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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MEME-LaB: motif analysis in clusters.

Brown Paul P Baxter Laura L Hickman Richard R Beynon Jim J Moore Jonathan D JD Ott Sascha S

Bioinformatics (Oxford, England) 20130516 13

<h4>Summary</h4>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 ...[more]

PMID: 23681125

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