A Blind Deconvolution Approach to High-Resolution Mapping of Transcription Factor Binding Sites from ChIP-seq Data

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A Blind Deconvolution Approach to High-Resolution Mapping of Transcription Factor Binding Sites from ChIP-seq Data

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Title: A Blind Deconvolution Approach to High-Resolution Mapping of Transcription Factor Binding Sites from ChIP-seq Data
Author: Lun, Desmond S; Sherrid, Ashley; Weiner, Brian; Sherman, David R.; Galagan, James E

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Citation: Lun, Desmond S., Ashley Sherrid, Brian Weiner, David R. Sherman, and James E. Galagan. 2009. A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data. Genome Biology 10(12): R142.
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Abstract: We present CSDeconv, a computational method that determines locations of transcription factor binding from ChIP-seq data. CSDeconv differs from prior methods in that it uses a blind deconvolution approach that allows closely-spaced binding sites to be called accurately. We apply CSDeconv to novel ChIP-seq data for DosR binding in Mycobacterium tuberculosis and to existing data for GABP in humans and show that it can discriminate binding sites separated by as few as 40 bp.
Published Version: doi:10.1186/gb-2009-10-12-r142
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812949/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4526946
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