Practical strategies for discovering regulatory DNA sequence motifs
Abbreviations: A, adenine; C, cytosine; ChIP, chromatin immunoprecipitation; EM, expectation maximization; G, guanine; ROC, receiver operating characteristic; ROC-AUC, area under the receiver operating characteristic curve; T, thymine Many functionally important regions of the genome can be recogniz...
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Veröffentlicht in: | PLoS computational biology 2006-04, Vol.2 (4), p.e36-e36 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Abbreviations: A, adenine; C, cytosine; ChIP, chromatin immunoprecipitation; EM, expectation maximization; G, guanine; ROC, receiver operating characteristic; ROC-AUC, area under the receiver operating characteristic curve; T, thymine Many functionally important regions of the genome can be recognized by searching for sequence patterns, or "motifs." Moving forward, we believe that cross-validated hypothesis testing and regression-based approaches will prove to be particularly valuable, as they combine the data-mining capabilities of classic motif discovery programs with a framework that offers an intuitive interpretation of the motifs. |
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ISSN: | 1553-7358 1553-734X 1553-7358 |
DOI: | 10.1371/journal.pcbi.0020036 |