Author

Will A. Overholt

Centers for Disease Control and PreventionORCID 0000-0002-2897-6991Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Vasanta ChivukulaiD· 2 shared Alan J. CollinsiD· 1 shared Cari A. BeesleyiD· 1 shared Daan R. SpethiD· 1 shared David SueiD· 1 shared Dev MashruwalaiD· 1 shared Emily T. NorrisiD· 1 shared Jana MiluckaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

Vasanta ChivukulaORCID

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3 papers

Recent·Most cited

Antimicrobial Resistance Profiling and Phenotypic Characterization of Archived Clinical Bacillus paranthracis Strains

Pierre A Michel, Tucker Maxson, Vasanta Chivukula, Will A. Overholt, Luz Karime Medina Córdoba, Stephanie Ayodele-Abiola, John McQuiston, Cari A. Beesley, Melissa E. Bell, Victoria Caban Figueroa, Julia V. Bugrysheva, Tyler Chandross-Cohen, Zachary Weiner, Laura M. Carroll, Jasna Kovač, David Sue

This study characterizes 20 archived B. paranthracis clinical strains, highlighting phenotypic similarities and differences with B. anthracis and assessing MinION sequencing for antimicrobial resistance detection.

Microbiology Spectrum · Jul 10, 2026Peer-reviewedMicrobiology

Epidemiology of Legionella: Genome-bAsed Typing (el_gato) - a new bioinformatic tool for identifying sequence-based types of Legionella pneumophila from whole genome sequencing data

Alan J. Collins, Dev Mashruwala, Vasanta Chivukula, Natalia A. Kozak‐Muiznieks, Lavanya Rishishwar, Emily T. Norris, Melisa J. Willby, Jennafer A. P. Hamlin, Will A. Overholt

el_gato is a new bioinformatic tool that improves sequence-based typing of Legionella pneumophila from whole genome sequencing data, achieving high accuracy comparable to traditional Sanger sequencing.

bioRxiv · Mar 23, 2026 · PreprintBioinformatics

Genetic potential for aerobic respiration and denitrification in globally distributed respiratory endosymbionts

Daan R. Speth, Linus M Zeller, Jon S. Graf, Will A. Overholt, Kirsten Küsel, Jana Milucka

The paper identifies four new respiratory endosymbiont genomes, revealing their global distribution and ability to perform both aerobic and anaerobic respiration.

Nature Communications · Nov 8, 2024Peer-reviewedMicrobiology