Author

Jessie Uehling

University of California, San FranciscoORCID 0000-0002-8705-5893Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:fungi (other)· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anita SiliD· 1 shared Bastian JoehnkiD· 1 shared Boris Alexander VinatzeriD· 1 shared Bridget M. BarkeriD· 1 shared Christina M. HomeriD· 1 shared Claire A. DubiniD· 1 shared Hayden JohnsoniD· 1 shared Heather MeadiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Anita SilORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 9, 2026

Whole genome similarity provides a rapid, robust framework for classification of fungal taxa from the genus rank to intraspecies variants

Hayden Johnson, Boris Alexander Vinatzer, Reza Mazloom…·Jessie Uehling

This study shows that k-mer-based whole-genome similarity can rapidly and accurately classify fungal taxa from genus to intraspecies variants, outperforming traditional methods in speed and efficiency.

DOI 10.64898/2026.09.04.746300

fungi (other)whole-genome sequencing

𝕏 PostBluesky

GeneticsbioRxivPreprintAug 5, 2024

Inferring the composition of a mixed culture of natural microbial isolates by deep sequencing

Mark Voorhies, Bastian Joehnk, Jessie Uehling…·Anita Sil

The paper develops a method to infer strain composition in microbial mixed cultures using natural SNPs as barcodes, validated on Coccidioides posadasii isolates and applied to GWAS.

DOI 10.1101/2024.08.05.606565

fungi (other)whole-genome sequencing

𝕏 PostBluesky