Author

J. S. Yang

University of PennsylvaniaORCID 0000-0002-2048-9398Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:statistical model· 2

Frequent Co-Authors

Gregory R. GrantiD· 2 shared Thomas G. BrooksiD· 2 shared Amruta S. NaikiD· 1 shared Antonijo Mrčela· 1 shared Emanuela RicciottiiD· 1 shared Nicholas F. LahensiD· 1 shared Peter S. ChoiiD· 1 shared Shaon SenguptaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Gregory R. GrantORCID

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2 papers

Recent·Most cited

Generating Correlated Data for Omics Simulation

J. S. Yang, Gregory R. Grant, Thomas G. Brooks

The paper introduces methods to generate correlated omics data for benchmarking, showing improved performance in DESeq2 and CYCLOPS when dependencies are included.

PLoS Computational Biology · Sep 5, 2025Peer-reviewedBioinformatics

Sources of non-uniform coverage in short-read RNA-Seq data

Thomas G. Brooks, Nicholas F. Lahens, Antonijo Mrčela, J. S. Yang, Souparna Purohit, Amruta S. Naik, Emanuela Ricciotti, Shaon Sengupta, Peter S. Choi, Gregory R. Grant

This study investigates sources of non-uniform coverage in RNA-Seq data and finds that no single factor explains the issue, contradicting prior claims.

bioRxiv · Jan 30, 2025 · PreprintBioinformatics