Transcription factor enrichment analysis (TFEA) quantifies the activity of multiple transcription factors from a single experiment

Jonathan D. Rubin; Jacob T. Stanley; Rutendo F. Sigauke; Cecilia B. Levandowski; Zachary L. Maas; Jessica Westfall; Dylan J. Taatjes; Robin D. Dowell

doi:10.1038/s42003-021-02153-7

Communications Biology (Jun 2021)

Transcription factor enrichment analysis (TFEA) quantifies the activity of multiple transcription factors from a single experiment

Jonathan D. Rubin,
Jacob T. Stanley,
Rutendo F. Sigauke,
Cecilia B. Levandowski,
Zachary L. Maas,
Jessica Westfall,
Dylan J. Taatjes,
Robin D. Dowell

Affiliations

Jonathan D. Rubin: Department of Biochemistry, University of Colorado
Jacob T. Stanley: BioFrontiers Institute, University of Colorado
Rutendo F. Sigauke: Computational Bioscience Program, Anschutz Medical Campus, University of Colorado
Cecilia B. Levandowski: Department of Biochemistry, University of Colorado
Zachary L. Maas: BioFrontiers Institute, University of Colorado
Jessica Westfall: Department of Molecular, Cellular and Developmental Biology, University of Colorado
Dylan J. Taatjes: Department of Biochemistry, University of Colorado
Robin D. Dowell: BioFrontiers Institute, University of Colorado

DOI: https://doi.org/10.1038/s42003-021-02153-7
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 15

Abstract

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Rubin et al. introduce transcription factor enrichment analysis (TFEA), a new motif enrichment method specifically aimed at maximizing the informative nature of differential RNA polymerase initiation data. It provides an easy, rigorous, and cost-effective analysis aimed at deciphering the temporal and mechanistic details of complex regulatory networks.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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