Author

James Wright

Institute of Cancer Research

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

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Genomics· 2 Systems Biology· 1

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Adam FrankishiD· 2 shared Barbara Uszczyńska-RatajczakiD· 2 shared Jonathan M. MudgeiD· 2 shared Paul FlicekiD· 2 shared Roderic GuigóiD· 2 shared Alba Sanchis‐JuaniD· 1 shared Anne Fabienne LepineiD· 1 shared Annette Chen· 1 shared

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2018-2026 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Adam FrankishORCID

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3 papers

Recent·Most cited

MINGL Quantifies Borders, Gradients, and Heterogeneity in Multicellular Tissue Organization

Kyra Van Batavia, James Wright, Annette Chen, Yuexi Li, John W. Hickey

MINGL quantifies tissue organization by modeling cell memberships across hierarchical units, detecting interfaces, gradients, and heterogeneity in spatial-omic datasets.

bioRxiv · Mar 26, 2026 · PreprintSystems Biology

Systematic re-annotation of 191 genes associated with early-onset epilepsy unmasks de novo variants linked to Dravet syndrome in novel SCN1A exons

Charles A. Steward, Jolien Roovers, Marie‐Marthe Suner, José M. González, Barbara Uszczyńska-Ratajczak, Dmitri Davidovich Pervouchine, Stephen F. Fitzgerald, Margarida Viola, Hannah Stamberger, Fadi F. Hamdan, Berten Ceulemans, Patricia Leroy, Caroline Nava, Anne Fabienne Lepine, Electra Tapanari, , Adam Frankish

The paper updates gene annotations for 191 epilepsy genes, reclassifying variants and identifying new de novo SCN1A variants in Dravet syndrome patients.

bioRxiv · May 30, 2019 · PreprintGenomics

Nearly all new protein-coding predictions in the CHESS database are not protein-coding

Irwin Jungreis, Michael L. Tress, Jonathan M. Mudge, Cristina Sisu, Toby Hunt, Rory Johnson, Barbara Uszczyńska-Ratajczak, Julien Lagarde, James Wright, Paul Muir, Mark Gerstein, Roderic Guigó, M Kellis, Adam Frankish, Paul Flicek

The paper reanalyzes the CHESS database's new protein-coding predictions and finds most are false positives due to homology errors and lack of experimental evidence.

bioRxiv · Jul 2, 2018 · PreprintGenomics