Author

Jake Byrnes

ORCID 0000-0002-4947-1159Unclaimed 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:human· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Catherine A. Ball· 2 shared Yong WangiD· 2 shared Abeer S. MadboulyiD· 1 shared Alisa Sedghifar· 1 shared Antoine LizéeiD· 1 shared Chao ZhaoiD· 1 shared Chris J. Lin· 1 shared David A. TurissiniiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 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

2 shared papersGenomics

Catherine A. Ball

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsBMC BioinformaticsPeer-reviewedSep 25, 2021

Ancestry Inference Using Reference Labeled Clusters of Haplotypes

Yong Wang, Shiya Song, Joshua G. Schraiber…·Keith Noto

ARCHes infers ancestry composition using haplotype-based models, outperforming RFMix in global and local ancestry assignment across diverse populations.

12 citations

humanDNA methylation

𝕏 PostBluesky

GeneticsbioRxivPreprintJul 13, 2019

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

Vincent Damotte, Chao Zhao, Chris J. Lin…·Jill A. Hollenbach

The paper examines how self-reported race and geographic ancestry relate to genetic data in a large U.S. cohort, finding that combining both measures better reflects genetic ancestry than either alone.

4 citations

humanstatistical model

𝕏 PostBluesky