Computational prediction of transcription-factor binding site locations.

by: ML Bulyk

Genome Biol, Vol. 5, No. 1. (2003)

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Abstract

Identifying genomic locations of transcription-factor binding sites, particularly in higher eukaryotic genomes, has been an enormous challenge. Various experimental and computational approaches have been used to detect these sites; methods involving computational comparisons of related genomes have been particularly successful.

@article{citeulike:711635, abstract = {Identifying genomic locations of transcription-factor binding sites, particularly in higher eukaryotic genomes, has been an enormous challenge. Various experimental and computational approaches have been used to detect these sites; methods involving computational comparisons of related genomes have been particularly successful.}, address = {Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, New Research Building, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. mlbulyk@rascal.med.harvard.edu}, author = {Bulyk, M. L. }, citeulike-article-id = {711635}, doi = {http://dx.doi.org/10.1186/gb-2003-5-1-201}, issn = {1465-6914}, journal = {Genome Biol}, keywords = {transcription\_factors}, number = {1}, posted-at = {2008-07-22 11:09:57}, priority = {2}, title = {Computational prediction of transcription-factor binding site locations.}, url = {http://dx.doi.org/10.1186/gb-2003-5-1-201}, volume = {5}, year = {2003} }

RIS record

TY - JOUR ID - citeulike:711635 L3 - citeulike-article-id:711635 TI - Computational prediction of transcription-factor binding site locations. JF - Genome Biol VL - 5 IS - 1 AD - Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, New Research Building, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. mlbulyk@rascal.med.harvard.edu SN - 1465-6914 N2 - Identifying genomic locations of transcription-factor binding sites, particularly in higher eukaryotic genomes, has been an enormous challenge. Various experimental and computational approaches have been used to detect these sites; methods involving computational comparisons of related genomes have been particularly successful. KW - transcription_factors AU - Bulyk, ML PY - 2003/// UR - http://dx.doi.org/10.1186/gb-2003-5-1-201 ER -

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