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Báo cáo y học: "A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data. | Genome Biology BioMed Central Open Access Method A blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data Desmond S Lun Ashley Sherrid h Brian Weiner David R Sherman and James E Galagan Addresses Phenomics and Bioinformatics Research Centre School of Mathematics and Statistics and Australian Centre for Plant Functional Genomics University of South Australia Mawson Lakes Boulevard Mawson Lakes SA 5095 Australia. tSeattle Biomedical Research Institute 307 Westlake Avenue North Suite 500 Seattle WA 98109 USA. Molecular and Cellular Biology Graduate Program University ofWashington Seattle WA 98195 USA. Broad Institute of MIT and Harvard 7 Cambridge Center Cambridge MA 02142 USA. Department of Global Health University of Washington Seattle WA 98195 USA. Department of Biomedical Engineering and Department of Microbiology Boston University 44 Cummington Street Boston MA 02215 USA. Correspondence Desmond S Lun. Email desmond.lun@unisa.edu.au Published 22 December 2009 Genome Biology 2009 10 Rl42 doi l0.ll86 gb-2009-l0-l2-rl42 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 10 12 R142 Received 12 September 2009 Revised 15 November 2009 Accepted 22 December 2009 2009 Lun et al. licensee Biomed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution license http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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 .