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...
Main Authors: | , , , , , |
---|---|
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 |