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A Novel Bayesian Change-punkt Algoritm för Genomvid analys av olika 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 Ändra Point (BCP) algoritmen bygger på state-of-the-art framsteg inom modellering change-poäng genom Hidden Markov Models och överför dem till kromatin immunoprecipitation sekvensering (ChIPseq) dataanalys. BCP presterar bra i både breda och punktformig datatyper, men utmärker sig i exakt identifiera robusta, reproducerbara öarna diffus histon anrikning.

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Genetik bioinformatik genomik molekylärbiologi Cellulär biologi immunologi Chromatin immunoutfällning chip-Seq histon ändringar segmentering Bayesian Hidden Markov Models epigenetik
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