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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Detalles Bibliográficos
Autores principales: Moyerbrailean, Gregory A., Kalita, Cynthia A., Harvey, Chris T., Wen, Xiaoquan, Luca, Francesca, Pique-Regi, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
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

Internet

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

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