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Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

Authors: Qin, Qian; Jingyu Fan; Rongbin Zheng; Changxin Wan; Shenglin Mei; Wu, Qiu; Hanfei Sun; +4 Authors

Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

Abstract

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.

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Keywords

Chromatin accessibility, QH301-705.5, Method, DNase-seq, QH426-470, Chromatin, Gene regulation, Histone Code, H3K27ac ChIP-seq, chromatin accessibility, Databases, Genetic, gene set analysis, Genetics, Transcription factors, Animals, Chromatin Immunoprecipitation Sequencing, Humans, Biology (General), gene regulation, differential gene expression, Differential gene expression, Software, Transcription Factors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
244
Top 0.1%
Top 10%
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29
2
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