Author

Kenneth Katz

National Institutes of HealthORCID 0000-0002-9134-4559Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

James Rodney BristeriD· 2 shared Andrey Kochergin· 1 shared Bin HuiD· 1 shared Chien‐Chi LoiD· 1 shared Christopher D. O’Sullivan· 1 shared Chunlin XiaoiD· 1 shared Courtney A. CopelandiD· 1 shared David A. YarmoshiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

James Rodney BristerORCID

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2 papers

Recent·Most cited

Towards increased accuracy and reproducibility in SARS-CoV-2 next generation sequence analysis for public health surveillance

Ryan P. Connor, Migun Shakya, David A. Yarmosh, Wolfgang Maier, Ross Martin, Rebecca Bradford, James Rodney Brister, Patrick Chain, Courtney A. Copeland, Julia di Iulio, Bin Hu, Philip J. Ebert, Jonathan Gunti, Yumi Jin, Kenneth Katz, , Kim D. Pruitt

This study evaluates the impact of sequencing technologies and bioinformatic protocols on SARS-CoV-2 variant calling and introduces standardized parameters to improve pipeline consistency.

Viruses · Mar 11, 2024Peer-reviewedBioinformatics

A fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next generation sequence submissions.

Kenneth Katz, Oleg Shutov, Richard T. Lapoint, Michael Kimelman, James Rodney Brister, Christopher D. O’Sullivan

The paper introduces a MinHash-based k-mer tool to assess taxonomic diversity in Sequence Read Archive submissions, improving metadata quality and data utility.

Genome biology · Sep 20, 2021Peer-reviewedGenomics