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: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-02-01
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| Series: | PLoS Genetics |
| Online Access: | http://europepmc.org/articles/PMC4764260?pdf=render |