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pmid: 32033573
pmc: PMC7007693
Abstract 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 histone mark ChIP-seq and chromatin accessibility profiles to construct a chromatin model related to the regulation of these genes. 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.
QH301-705.5, Method, DNase-seq, QH426-470, H3K27ac ChIP-seq, Databases, Genetic, gene set analysis, Genetics, Transcription factors, Animals, Humans, Biology (General), differential gene expression, Differential gene expression, Chromatin accessibility, Chromatin, Gene regulation, Histone Code, chromatin accessibility, Chromatin Immunoprecipitation Sequencing, gene regulation, Software, Transcription Factors
QH301-705.5, Method, DNase-seq, QH426-470, H3K27ac ChIP-seq, Databases, Genetic, gene set analysis, Genetics, Transcription factors, Animals, Humans, Biology (General), differential gene expression, Differential gene expression, Chromatin accessibility, Chromatin, Gene regulation, Histone Code, chromatin accessibility, Chromatin Immunoprecipitation Sequencing, gene regulation, Software, Transcription Factors
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