Author

William C. Chapman

Washington University in St. LouisORCID 0000-0002-0072-3239Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Avinash RamuiD· 1 shared Christopher A. MaheriD· 1 shared Douglas R. AdkinsiD· 1 shared Emily B. RozyckiiD· 1 shared Gavin P. DunniD· 1 shared Huiming XiaiD· 1 shared Jalpa DeviiD· 1 shared Jason KunisakiiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Avinash RamuORCID

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Author profile →

2 papers

Recent·Most cited

Single-Cell and Spatial Multi-omics Reveal Interferon Signaling in the Pathogenesis of Perianal Fistulizing Crohn's Disease

Siyan “Stewart” Cao, Khai M. Nguyen, Kaiming Ma, Xin Yao, Ta‐Chiang Liu, Malek Ayoub, Jalpa Devi, Yizhou A. Liu, Radhika K. Smith, Matthew L. Silviera, Steven R. Hunt, Paul E. Wise, Matthew G. Mutch, Sean Christopher Glasgow, William C. Chapman, , Parakkal Deepak

The paper uses multi-omics approaches to identify hyperactivated IFNG signaling in PCD, linking it to immune and stromal cell pathogenesis and suggesting IFNG as a therapeutic target.

bioRxiv · Nov 8, 2024 · PreprintSystems Biology

RegTools: Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer

Kelsy C. Cotto, Yang-Yang Feng, Avinash Ramu, Megan M. Richters, Sharon L. Freshour, Zachary L. Skidmore, Huiming Xia, Joshua F. McMichael, Jason Kunisaki, Katie Marie Campbell, Timothy Hung-Po Chen, Emily B. Rozycki, Douglas R. Adkins, Siddhartha H. K. Devarakonda, Sumithra Sankararaman, , Malachi Griffith

RegTools identifies splice-associated variants in cancer by integrating genomic and transcriptomic data across 9,000 tumor samples, discovering 235,778 splicing events.

Nature Communications · Mar 22, 2023Peer-reviewedBioinformatics