STREME: accurate and versatile sequence motif discovery

Sequence motif discovery algorithms can identify novel sequence patterns that perform biological functions in DNA, RNA and protein sequences-for example, the binding site motifs of DNA- and RNA-binding proteins. The STREME algorithm presented here advances the state-of-the-art in ab initio motif dis...

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Bibliographic Details
Published inBioinformatics (Oxford, England) Vol. 37; no. 18; pp. 2834 - 2840
Main Author Bailey, Timothy L
Format Journal Article
LanguageEnglish
Published England Oxford University Press 29.09.2021
Subjects
Algorithms
Binding Sites
Chromatin Immunoprecipitation Sequencing
DNA
Nucleotide Motifs
Original Papers
Sequence Analysis, DNA
Software
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Summary:Sequence motif discovery algorithms can identify novel sequence patterns that perform biological functions in DNA, RNA and protein sequences-for example, the binding site motifs of DNA- and RNA-binding proteins. The STREME algorithm presented here advances the state-of-the-art in ab initio motif discovery in terms of both accuracy and versatility. Using in vivo DNA (ChIP-seq) and RNA (CLIP-seq) data, and validating motifs with reference motifs derived from in vitro data, we show that STREME is more accurate, sensitive and thorough than several widely used algorithms (DREME, HOMER, MEME, Peak-motifs) and two other representative algorithms (ProSampler and Weeder). STREME's capabilities include the ability to find motifs in datasets with hundreds of thousands of sequences, to find both short and long motifs (from 3 to 30 positions), to perform differential motif discovery in pairs of sequence datasets, and to find motifs in sequences over virtually any alphabet (DNA, RNA, protein and user-defined alphabets). Unlike most motif discovery algorithms, STREME reports a useful estimate of the statistical significance of each motif it discovers. STREME is easy to use individually via its web server or via the command line, and is completely integrated with the widely used MEME Suite of sequence analysis tools. The name STREME stands for 'Simple, Thorough, Rapid, Enriched Motif Elicitation'. The STREME web server and source code are provided freely for non-commercial use at http://meme-suite.org. Supplementary data are available at Bioinformatics online.
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ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btab203