Author

Seorim Yi

The University of Texas at AustinORCID 0000-0002-3780-2010Unclaimed 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· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ben J. VernascoiD· 1 shared Christen M. BossuiD· 1 shared Erika C. N. Robertson· 1 shared Erika S. ZavaletaiD· 1 shared Kristen RueggiD· 1 shared Mevin B. HooteniD· 1 shared Nikunj GoeliD· 1 shared Peri E. BoltoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Ben J. VernascoORCID

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1 paper

Recent·Most cited

Identifying adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data

Nikunj Goel, Christen M. Bossu, Seorim Yi, Timothy M. Brown, Erika C. N. Robertson, Peri E. Bolton, Ben J. Vernasco, Reza Goljani Amirkhiz, Erika S. Zavaleta, Kristen Ruegg, Mevin B. Hooten

The paper develops a method to identify adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data, showing reduced false negatives by accounting for genotype uncertainty and structured migration.

bioRxiv · Aug 5, 2026 · PreprintGenomics