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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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2016-02-01
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| coleção: | PLoS Genetics |
| Acesso em linha: | http://europepmc.org/articles/PMC4764260?pdf=render |
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