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  • Title: MEME-LaB: motif analysis in clusters.
    Author: Brown P, Baxter L, Hickman R, Beynon J, Moore JD, Ott S.
    Journal: Bioinformatics; 2013 Jul 01; 29(13):1696-7. PubMed ID: 23681125.
    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.
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