Author

Gene D. Godbold

ORCID 0000-0002-5702-4690Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:DNA methylation· 2 Research Focus:software / tool· 2 Research Focus:variant calling· 2 Research Focus:database / resource· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Krista L. TernusiD· 4 shared Anthony D. KappelliD· 3 shared Todd J. TreangeniD· 3 shared Advait BalajiiD· 2 shared Danielle S. LeSassieriD· 2 shared Michael NuteiD· 2 shared Bingbing HuiD· 1 shared Bryan T. GemleriD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersBioinformatics

Krista L. TernusORCID

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4 papers

Recent·Most cited

Inter-tool analysis of a NIST dataset for assessing baseline nucleic acid sequence screening

Tyler S. Laird, Kevin Flyangolts, Craig M. Bartling, Bryan T. Gemler, Jacob Beal, Tom Mitchell, Steven T. Murphy, Jens Berlips, Leonard Newton Foner, Ryan Doughty, Felix Quintana, Michael Nute, Todd J. Treangen, Gene D. Godbold, Krista L. Ternus, , Samuel P. Forry

The paper evaluates sequence screening tools using a NIST dataset to assess their consistency in identifying sequences of concern.

Applied Biosafety · Dec 26, 2025Peer-reviewedBioinformatics

SeqScreen-Nano: a computational platform for rapid, in-field characterization of previously unseen pathogens.

Advait Balaji, Yunxi Liu, Michael Nute, Bingbing Hu, Anthony D. Kappell, Danielle S. LeSassier, Gene D. Godbold, Krista L. Ternus, Todd J. Treangen

SeqScreen-Nano rapidly characterizes novel pathogens using ONT sequencing in resource-limited settings by identifying ORFs and classifying them functionally and taxonomically.

bioRxiv · Feb 10, 2023 · PreprintBioinformatics

SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning

Advait Balaji, Bryce L. Kille, Anthony D. Kappell, Gene D. Godbold, Madeline M. Diep, Ryan A. Leo Elworth, Zhiqin Qian, Dreycey Albin, Daniel J. Nasko, Nidhi Shah, Mihai Pop, Santiago Segarra, Krista L. Ternus, Todd J. Treangen

SeqScreen uses ensemble learning to accurately label pathogenic sequences with functional annotations, achieving high recall and precision for microbial pathogenesis.

Genome biology · Jun 20, 2022Peer-reviewedBioinformatics

Detection of ESKAPE pathogens and Clostridioides difficile in Simulated Skin Transmission Events with Metagenomic and Metatranscriptomic Sequencing

Krista L. Ternus, Nicolette C. Keplinger, Anthony D. Kappell, Gene D. Godbold, Veena Palsikar, Carlos A. Acevedo, Katharina L. Weber, Danielle S. LeSassier, Kathleen Q. Schulte, Nicole Westfall, F. Curtis Hewitt

This study evaluates NGS-based methods for detecting healthcare-acquired pathogens in simulated skin transmission events using metagenomic and metatranscriptomic sequencing.

bioRxiv · Mar 4, 2021 · PreprintGenomics