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MEME-LaB : motif analysis in clusters
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Brown, Paul E., Baxter, Laura, Hickman, Richard J., Beynon, Jim, Moore, Jonathan D. and Ott, Sascha (2013) MEME-LaB : motif analysis in clusters. Bioinformatics . doi:10.1093/bioinformatics/btt248 ISSN 1367-4803.
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Official URL: http://dx.doi.org/10.1093/bioinformatics/btt248
Abstract
Genome-wide expression analysis can result in large numbers of clusters of co-expressed genes. While 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.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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Library of Congress Subject Headings (LCSH): | Genetics -- Research, Genomics, MEME-LaB (Computer file), Bioinformatics, Computational biology | ||||
Journal or Publication Title: | Bioinformatics | ||||
Publisher: | Oxford University Press | ||||
ISSN: | 1367-4803 | ||||
Official Date: | 16 May 2013 | ||||
Dates: |
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DOI: | 10.1093/bioinformatics/btt248 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Funder: | Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Engineering and Physical Sciences Research Council (EPSRC) | ||||
Grant number: | BB/F005806/1 (BBSRC) |
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