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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764260/ https://www.ncbi.nlm.nih.gov/pubmed/26901046 http://dx.doi.org/10.1371/journal.pgen.1005875 |