Author

Japan B. Mehta

University of Oxford

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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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Organism:human· 3 Approach:deep learning· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

Anne M. Bara· 3 shared Jonathan D. FinniD· 3 shared Matthew H. BakalariD· 3 shared Connor McGinnis· 2 shared Dane Z. HazelbakeriD· 2 shared Daniel J. O’ConnelliD· 2 shared Didac SantesmassesiD· 2 shared Sandeep KumariD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Anne M. Bara

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Designing AI-programmable therapeutics with the EDEN family of foundation models

Geraldene Munsamy, Gavin Ayres, Carla Greco, Keith Y K Kam, Gus Minto-Cowcher, John St John, Tanggis Bohnuud, Matthew H. Bakalar, William Chow, Robert J. Pecoraro, Marcelo D. T. Torres, Aaron W. Kollasch, Marcus H. Y. Leung, Hassan Sirelkhatim, Francesco Farina, , Philipp Lorenz

This paper introduces the EDEN family of foundation models for AI-programmable therapeutic design, demonstrating their ability to generate functional gene insertions, antibiotic peptides, and synthetic microbiomes.

bioRxiv · Feb 9, 2026 · PreprintGenomics

Large Serine Integrase Off-Target Discovery with Deep Learning for Genome Wide Prediction

Matthew H. Bakalar, Thomas C. Biondi, Xiaoyu Liang, Didac Santesmasses, Anne M. Bara, Japan B. Mehta, Jie Wang, Dane Z. Hazelbaker, Jonathan D. Finn, Daniel J. O’Connell

The paper introduces IntQuery, a deep learning model that predicts LSI off-target activity genome-wide using data from Cryptic-seq.

bioRxiv · Oct 10, 2024 · PreprintBioinformatics

Large Serine Integrase Off-target Discovery and Validation for Therapeutic Genome Editing

Dane Z. Hazelbaker, Japan B. Mehta, Connor McGinnis, Didac Santesmasses, Anne M. Bara, Xiaoyu Liang, Thomas C. Biondi, Tim J. Fennell, Nils Homer, Brett Estes, Jenny Xie, Davood Norouzi, Kaivalya Molugu, Ravindra Amunugama, Chong T. Luo, , Daniel J. O’Connell

The paper develops and validates methods to detect off-target recombination by Large Serine Integrases, finding higher sensitivity than whole genome sequencing.

bioRxiv · Aug 23, 2024 · PreprintGenomics