Author

John R. Houser

The University of Texas at Austin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1

Frequent Co-Authors

Edward M. MarcotteiD· 2 shared Amy E. PomeroyiD· 1 shared Andrew EmiliiD· 1 shared Aurko Dasgupta· 1 shared Bartram L. SmithiD· 1 shared Beverly ErredeiD· 1 shared Caitlyn L McCaffertyiD· 1 shared Christopher J. MarxiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersSystems Biology

Edward M. MarcotteORCID

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Author profile →

3 papers

Recent·Most cited

The protein organization of a red blood cell

Wisath Sae-Lee, Caitlyn L McCafferty, Eric J. Verbeke, Pierre C. Havugimana, Ophelia Papoulas, Claire D. McWhite, John R. Houser, Kim Vanuytsel, George J. Murphy, Kevin Drew, Andrew Emili, David Ward Taylor, Edward M. Marcotte

This study defines the RBC proteome and interactome using mass spectrometry and machine learning, revealing key biological processes and structural models.

Cell Reports · Jul 1, 2022Peer-reviewedSystems Biology

A predictive model of gene expression reveals the role of regulatory motifs in the mating response of yeast

Amy E. Pomeroy, Matthew I. Peña, John R. Houser, Gauri Dixit, Henrik Gunnar Dohlman, Timothy C. Elston, Beverly Errede

The paper develops a predictive model of gene expression in yeast to understand how regulatory motifs coordinate the mating response to dynamic and persistent stimuli.

Science Signaling · Feb 16, 2021Peer-reviewedSystems Biology

The E. coli molecular phenotype under different growth conditions

Mehmet Umut Caglar, John R. Houser, Craig S. Barnhart, Daniel R. Boutz, Sean M. Carroll, Aurko Dasgupta, W. Frank Lenoir, Bartram L. Smith, Viswanadham Sridhara, Dariya K. Sydykova, Drew Vander Wood, Christopher J. Marx, Edward M. Marcotte, Jeffrey E. Barrick, Claus O. Wilke

This study presents a comprehensive transcriptomics and proteomics dataset of E. coli under 34 growth conditions, revealing differences between exponential and stationary phases and differential gene expression under specific stresses.

Scientific Reports · Apr 18, 2017Peer-reviewedBioinformatics