MEME-LaB: motif analysis in clusters

被引:55
作者
Brown, Paul [1 ]
Baxter, Laura [1 ]
Hickman, Richard [1 ]
Beynon, Jim [2 ]
Moore, Jonathan D. [1 ]
Ott, Sascha [1 ]
机构
[1] Univ Warwick, Warwick Syst Biol Ctr, Coventry CV4 7AL, W Midlands, England
[2] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
DATABASE; DNA;
D O I
10.1093/bioinformatics/btt248
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
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.
引用
收藏
页码:1696 / 1697
页数:2
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