Predicting the effects of SNPs on transcription factor binding affinity
Sierra S. Nishizaki, Natalie Ng, Shengcheng Dong, Robert S. Porter, Cody Morterud, Colten Williams, Courtney Asman, Jessica A. Switzenberg, Alan P. Boyle
The paper develops SEMpl, a pipeline that predicts SNP effects on transcription factor binding affinity using ChIP-seq data to identify disease-causing regulatory loci.
Bioinformatics · Aug 1, 2019Peer-reviewedBioinformatics