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作者 Kulkarni, Ashwinikumar Arvind
書名 On the optimal discovery of DNA motifs from ChIP data
國際標準書號 9781124591346
book jacket
說明 60 p
附註 Source: Masters Abstracts International, Volume: 49-05, page: 3030
Adviser: Michael Zhang
Thesis (M.S.)--The University of Texas at Dallas, 2011
Identifying cis-regulatory elements for transcription factors through ChIP-seq experiments is a popular method recently. In real applications, often a top fraction (e.g., according to P-values) of all discovered peaks are scanned to discover DNA motifs. However the optimal ranking and thus the selection of these top fraction peaks is not well studied. A mixture model of Gaussian and Uniform Distribution of the ChIP-seq peaks is proposed in this work, which in combination with the Poisson enrichment P-values provides a much improved ranking for the purpose of DNA motif discovery. This method is expected to be useful in decoding the cis-regulatory mechanisms underlying the gene regulatory network
School code: 0382
Host Item Masters Abstracts International 49-05
主題 Biology, Molecular
Biology, Bioinformatics
Alt Author The University of Texas at Dallas. Molecular and Cell Biology
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