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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...
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| I publikationen: | PLoS Genet |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4764260/ https://ncbi.nlm.nih.gov/pubmed/26901046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1005875 |
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