Trawler

• Verfasst von: Ettwiller, Laurence [VerfasserIn]
• Verfasst von: Ramialison, Mirana [VerfasserIn]
• Verfasst von: Wittbrodt, Joachim [VerfasserIn]
• Titel: Trawler
• Titelzusatz: de novo regulatory motif discovery pipeline for chromatin immunoprecipitation
• Verf.angabe: Laurence Ettwiller, Benedict Paten, Mirana Ramialison, Ewan Birney, Joachim Wittbrodt
• Umfang: 3 S.
• Fussnoten: Gesehen am 15.05.2017
• Titel Quelle: Enthalten in: Nature methods
• Jahr Quelle: 2007
• Band/Heft Quelle: 4(2007), 7, S. 563-565
• ISSN Quelle: 1548-7105
• DOI: doi:10.1038/nmeth1061
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als Druck-Ausgabe: Ettwiller, Laurence: Trawler
• K10plus-PPN: 155861723X

Abstract

We developed Trawler, the fastest computational pipeline to date, to efficiently discover over-represented motifs in chromatin immunoprecipitation (ChIP) experiments and to predict their functional instances. When we applied Trawler to data from yeast and mammals, 83% of the known binding sites were accurately called, often with other additional binding sites, providing hints of combinatorial input. Newly discovered motifs and their features (identity, conservation, position in sequence) are displayed on a web interface.