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Article

Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding?

PLoS genetics - 1 Feb 2016

Moyerbrailean Gregory A, Kalita Cynthia A, Harvey Chris T, Wen Xiaoquan, Luca Francesca, Pique-Regi Roger

Abstract excerpt

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 the impact of a genetic variant on TF binding across 153 tissues and 1,372 TF motifs. Each annotation we derived is...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26901046
DOI: 10.1371/journal.pgen.1005875
PMCID: PMC4764260

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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