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A Novel Bayesiansk Change-point algoritme for Genome-wide analyse av Diverse ChIPseq Datatyper
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A Novel Bayesiansk Change-point algoritme for Genome-wide analyse av Diverse ChIPseq Datatyper

Article DOI: 10.3791/4273-v • 12:39 min • December 10th, 2012
December 10th, 2012 •
1, 1,2, 1,2, 2,3
1Department of Applied Mathematics & Statistics, Stony Brook University, 2Computational Biology and Bioinformatics, Cold Spring Harbor Laboratory, 3Department of Molecular and Cell Biology, University of Texas at Dallas

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Vår Bayesiansk Endre Point (BCP) algoritme bygger på state-of-the-art fremskritt i modellering Change-poeng via Hidden Markov Models og bruker dem til kromatin immunoutfelling sekvensering (ChIPseq) dataanalyse. BCP fungerer godt i både brede og punctate datatyper, men utmerker seg i nøyaktig identifisere robuste, reproduserbare øyene diffuse histone berikelse.

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Genetikk bioinformatikk genomikk molekylær biologi cellebiologi immunologi Chromatin immunoutfelling chip-Seq histonmodifikasjonene segmentering Bayesianske Skjult Markov Modeller epigenetikk
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