Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding?

Large experimental efforts are characterizing the regulatory genome, yet we are still missing a systematic definition of functional and silent genetic variants in non-coding regions. Here, we integrated DNaseI footprinting data with sequence-based transcription factor (TF) motif models to predict th...

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Bibliographic Details
Main Authors: Gregory A Moyerbrailean, Cynthia A Kalita, Chris T Harvey, Xiaoquan Wen, Francesca Luca, Roger Pique-Regi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-02-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC4764260?pdf=render