Author

Tyler Bath

UC San Diego Health SystemORCID 0000-0003-2601-178XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Nathan E. LewisiD· 2 shared Alexander T. WenzeliD· 1 shared Anne RichelleiD· 1 shared Austin W.T. ChiangiD· 1 shared Benjamin P. KellmaniD· 1 shared Chintan Jagdishchandra JoshiiD· 1 shared Christophe TrefoisiD· 1 shared David BorlandiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Nathan E. LewisORCID

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2 papers

Recent·Most cited

Systems BiologyCell Reports MethodsPeer-reviewedJun 30, 2021

What does your cell really do? Model-based assessment of mammalian cells metabolic functionalities using omics data

Anne Richelle, Benjamin P. Kellman, Alexander T. Wenzel…·Nathan E. Lewis

The paper introduces a framework to predict how changes in omics data affect metabolic functions in mammalian cells using curated metabolic tasks and genome-scale networks.

47 citations

humanmouse

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 14, 2017

PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens

Philipp N. Spahn, Tyler Bath, Ryan J. Weiss…·Olivier Harismendy

PinAPL-Py provides a user-friendly web application for analyzing CRISPR/Cas9 screening data, offering comprehensive tools and workflows for sequence analysis and gene ranking.

99 citations

CRISPR screenstatistical model

𝕏 PostBluesky