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ChEA3: transcription factor enrichment analysis by orthogonal omics integration.


ABSTRACT: Identifying the transcription factors (TFs) responsible for observed changes in gene expression is an important step in understanding gene regulatory networks. ChIP-X Enrichment Analysis 3 (ChEA3) is a transcription factor enrichment analysis tool that ranks TFs associated with user-submitted gene sets. The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associations from ChIP-seq experiments, and TF-gene co-occurrence computed from crowd-submitted gene lists. Enrichment results from these distinct sources are integrated to generate a composite rank that improves the prediction of the correct upstream TF compared to ranks produced by individual libraries. We compare ChEA3 with existing TF prediction tools and show that ChEA3 performs better. By integrating the ChEA3 libraries, we illuminate general transcription factor properties such as whether the TF behaves as an activator or a repressor. The ChEA3 web-server is available from https://amp.pharm.mssm.edu/ChEA3.

SUBMITTER: Keenan AB 

PROVIDER: S-EPMC6602523 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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ChEA3: transcription factor enrichment analysis by orthogonal omics integration.

Keenan Alexandra B AB   Torre Denis D   Lachmann Alexander A   Leong Ariel K AK   Wojciechowicz Megan L ML   Utti Vivian V   Jagodnik Kathleen M KM   Kropiwnicki Eryk E   Wang Zichen Z   Ma'ayan Avi A  

Nucleic acids research 20190701 W1


Identifying the transcription factors (TFs) responsible for observed changes in gene expression is an important step in understanding gene regulatory networks. ChIP-X Enrichment Analysis 3 (ChEA3) is a transcription factor enrichment analysis tool that ranks TFs associated with user-submitted gene sets. The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associations from ChIP-se  ...[more]

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