TY - JOUR T1 - Inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data JF - bioRxiv DO - 10.1101/846139 SP - 846139 AU - Qian Qin AU - Jingyu Fan AU - Rongbin Zheng AU - Changxin Wan AU - Shenglin Mei AU - Qiu Wu AU - Hanfei Sun AU - Jing Zhang AU - Myles Brown AU - Clifford A. Meyer AU - X. Shirley Liu Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/11/18/846139.abstract N2 - We developed Lisa (http://lisa.cistrome.org) to predict the transcriptional regulators (TRs) of differentially expressed or co-expressed gene sets. Based on the input gene sets, Lisa first uses compendia of public histone mark ChIP-seq and chromatin accessibility profiles to construct a chromatin model related to the regulation of these genes. Then using TR ChIP-seq peaks or imputed TR binding sites, Lisa probes the chromatin models using in silico deletion to find the most relevant TRs. Applied to gene sets derived from targeted TF perturbation experiments, Lisa boosted the performance of imputed TR cistromes, and outperformed alternative methods in identifying the perturbed TRs.TFtranscription factorCRchromatin regulatorTRtranscriptional regulatorRPregulatory potentialISDin silico deletionROCreceiver operator characteristicAUCarea under curveChIP-seqchromatin immunoprecipitation followed by DNA sequencingDNase-seqDNase I digestion followed by DNA sequencingH3K27achistone H3 lysine 27 acetylationARAndrogen ReceptorEREstrogen ReceptorGRGlucocorticoid Receptor ER -