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On the optimal discovery of DNA moti...

Kulkarni, Ashwinikumar Arvind.

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On the optimal discovery of DNA motifs from ChIP data.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	On the optimal discovery of DNA motifs from ChIP data./
作者:	Kulkarni, Ashwinikumar Arvind.
面頁冊數:	60 p.
附註:	Source: Masters Abstracts International, Volume: 49-05, page: 3030.
Contained By:	Masters Abstracts International49-05.
標題:	Biology, Molecular. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1491134
ISBN:	9781124591346

On the optimal discovery of DNA motifs from ChIP data.
Kulkarni, Ashwinikumar Arvind.

On the optimal discovery of DNA motifs from ChIP data. - 60 p.

Source: Masters Abstracts International, Volume: 49-05, page: 3030.

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.

ISBN: 9781124591346Subjects--Topical Terms:

1017719
Biology, Molecular.

On the optimal discovery of DNA motifs from ChIP data.
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520 $a 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.
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