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Wiley InterScience

Biometrics

Biometrics

Volume 63 Issue 3, Pages 787 - 796

Published Online: 20 Mar 2007

©2009 International Biometric Society



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ChIP-chip: Data, Model, and Analysis
Ming Zheng 1 , Leah O. Barrera 2 , Bing Ren 3 , and Ying Nian Wu 1,*
  1 Department of Statistics, UCLA, 8125 Math Sciences Bldg, Los Angeles, California 90095-1554, U.S.A.   2 Ludwig Institute for Cancer Research, UCSD, 9500 Gilman Drive, La Jolla, California 92093-0653, U.S.A.   3 Department of Cellular and Molecular Medicine, UCSD School of Medicine, 9500 Gilman Drive, La Jolla, California 92093-0653, U.S.A.
Correspondence to   * email: ywu@stat.ucla.edu
Copyright 2007, The International Biometric Society
KEYWORDS
Genome • Peak detection • Protein binding sites • Sonication • Truncated triangle shape model

ABSTRACT

Summary .   ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA-binding proteins in living cells. The ChIP-chip signals can be obtained over the whole genome by tiling arrays, where a peak shape is generally observed around a protein-binding site. In this article, we describe the ChIP-chip process and present a probability model for ChIP-chip data. We then propose a model-based method for recognizing the peak shapes for the purpose of detecting protein-binding sites. We also investigate the issue of bandwidth in nonparametric kernel smoothing method.


Received October 2005. Revised November 2006. Accepted November 2006.

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1541-0420.2007.00768.x About DOI

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