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A computational pipeline of the Bayesian method for protein–DNA interaction with binding affinity ranking (BayesPI-BAR). The method is proposed for quantification of the effect of sequence variations on protein binding. BayesPI-BAR uses biophysical modeling of protein–DNA interactions to predict single nucleotide polymorphisms (SNPs) that cause significant changes in the binding affinity of a regulatory region for transcription factors (TFs).
