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Cited by 916

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Design and analysis of ChIP-seq experiments for DNA-binding proteins

Open access
Kharchenko, Peter V, Tolstorukov, Michael Y, Park, Peter J·2008·Nature Biotechnology

Abstract

Recent progress in massively parallel sequencing platforms has enabled genome-wide characterization of DNA-associated proteins using the combination of chromatin immunoprecipitation and sequencing (ChIP-seq). Although a variety of methods exist for analysis of the established alternative ChIP microarray (ChIP-chip), few approaches have been described for processing ChIP-seq data. To fill this gap, we propose an analysis pipeline specifically designed to detect protein-binding positions with high accuracy. Using previously reported data sets for three transcription factors, we illustrate methods for improving tag alignment and correcting for background signals. We compare the sensitivity and spatial precision of three peak detection algorithms with published methods, demonstrating gains in spatial precision when an asymmetric distribution of tags on positive and negative strands is considered. We also analyze the relationship between the depth of sequencing and characteristics of the detected binding positions, and provide a method for estimating the sequencing depth necessary for a desired coverage of protein binding sites.

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Metadata

Authors
Kharchenko, P. V., Tolstorukov, M. Y., & Park, P. J.
Venue
Nature Biotechnology
Published
2008-11-16
Volume
26
Issue
12
Pages
1351-1359
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2102904139
Cited by
916
References
20
FWCI
13.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design and analysis of ChIP-seq experiments for DNA-binding proteins. https://app.cochat.ai/papers/10.1038/nbt.1508
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Kharchenko, P. V., Tolstorukov, M. Y., & Park, P. J. (2008). Design and analysis of ChIP-seq experiments for DNA-binding proteins. Nature Biotechnology. https://doi.org/10.1038/nbt.1508

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