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Evaluation of methods for modeling transcription factor sequence specificity

Evaluation of methods for modeling transcription factor sequence specificity The most comprehensive analysis to date of models of transcription-factor binding specificity reveals the best methods for predicting in vivo binding from in vitro data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Biotechnology Springer Journals

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References (76)

Publisher
Springer Journals
Copyright
Copyright © 2013 by Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
Subject
Life Sciences; Life Sciences, general; Biotechnology; Biomedicine, general; Agriculture; Biomedical Engineering/Biotechnology; Bioinformatics
ISSN
1087-0156
eISSN
1546-1696
DOI
10.1038/nbt.2486
Publisher site
See Article on Publisher Site

Abstract

The most comprehensive analysis to date of models of transcription-factor binding specificity reveals the best methods for predicting in vivo binding from in vitro data.

Journal

Nature BiotechnologySpringer Journals

Published: Jan 27, 2013

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