Article

Predicting the effects of SNPs on transcription factor binding affinity

2019-03-18

Abstract excerpt

GWAS have revealed that 88% of disease associated SNPs reside in noncoding regions. However, noncoding SNPs remain understudied, partly because they are challenging to prioritize for experimental validation. To address this deficiency, we developed the SNP effect matrix pipeline (SEMpl). SEMpl estimates transcription factor binding affinity by observing differences in ChIP-seq signal intensity for SNPs within func...

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Literature Corpus work: 6a10cc23-dacc-57d2-a90b-e5adf4a94448
DOI: 10.1101/581306

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