Author

Beth A. Sundberg

Jackson LaboratoryORCID 0000-0002-4261-0750Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:imputation· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexander K. BergeriD· 1 shared Alexander Samir HatoumiD· 1 shared Anna LamoureuxiD· 1 shared Anuj SrivastavaiD· 1 shared Arpana Agrawal AiD· 1 shared Bahá El KassabyiD· 1 shared Carol J. BultiD· 1 shared David George AshbrookiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetics

Alexander K. BergerORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomeMUSter mouse genetic variation service enables multi-trait, multi-population data integration and analyses

Robyn L. Ball, Molly A. Bogue, Hongping Liang, Anuj Srivastava, David George Ashbrook, Anna Lamoureux, Matthew W. Gerring, Alexander Samir Hatoum, Matthew J. Kim, Hao He, Jake Emerson, Alexander K. Berger, David O. Walton, Keith Sheppard, Bahá El Kassaby, , Elissa J. Chesler

GenomeMUSter integrates and harmonizes mouse genetic variation data across populations to enable multi-trait, multi-population analyses and improve variant-phenotype association studies.

Genome Research · Jan 1, 2024Peer-reviewedGenetics

Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies

Sarah M. Alghamdi, Beth A. Sundberg, John P. Sundberg, Paul N. Schofield, Robert Hoehndorf

The paper evaluates ontology design patterns for combining pathology and anatomy ontologies using an aging mice dataset, showing how different patterns perform in analysis tasks.

Scientific Reports · Mar 11, 2019Peer-reviewedBioinformatics