WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Lee Katz
PeerJ Author
440 Points

Contributions by role

Author 405
Preprint Author 35

Contributions by subject area

Bioinformatics
Evolutionary Studies
Food Science and Technology
Genomics
Epidemiology
Virology
COVID-19
Microbiology

Lee S Katz

PeerJ Author

Summary

Bioinformatics Epidemiology Evolutionary Studies Food Science & Technology Genomics

Past or current institution affiliations

University of Georgia

Identities

@lskatz

PeerJ Contributions

  • Articles 3
  • Preprints 1
September 5, 2022
Benchmark datasets for SARS-CoV-2 surveillance bioinformatics
Lingzi Xiaoli, Jill V. Hagey, Daniel J. Park, Christopher A. Gulvik, Erin L. Young, Nabil-Fareed Alikhan, Adrian Lawsin, Norman Hassell, Kristen Knipe, Kelly F. Oakeson, Adam C. Retchless, Migun Shakya, Chien-Chi Lo, Patrick Chain, Andrew J. Page, Benjamin J. Metcalf, Michelle Su, Jessica Rowell, Eshaw Vidyaprakash, Clinton R. Paden, Andrew D. Huang, Dawn Roellig, Ketan Patel, Kathryn Winglee, Michael R. Weigand, Lee S. Katz
https://doi.org/10.7717/peerj.13821 PubMed 36093336
November 25, 2021
Evaluating whole-genome sequencing quality metrics for enteric pathogen outbreaks
Darlene D. Wagner, Heather A. Carleton, Eija Trees, Lee S. Katz
https://doi.org/10.7717/peerj.12446 PubMed 34900416
October 6, 2017
Benchmark datasets for phylogenomic pipeline validation, applications for foodborne pathogen surveillance
Ruth E. Timme, Hugh Rand, Martin Shumway, Eija K. Trees, Mustafa Simmons, Richa Agarwala, Steven Davis, Glenn E. Tillman, Stephanie Defibaugh-Chavez, Heather A. Carleton, William A. Klimke, Lee S. Katz
https://doi.org/10.7717/peerj.3893 PubMed 29372115
July 25, 2017 - Version: 1
Benchmark datasets for phylogenomic pipeline validation, applications for foodborne pathogen surveillance
Ruth E Timme, Hugh Rand, Martin Shumway, Eija K Trees, Mustafa Simmons, Richa Agarwala, Steven Davis, Glen Tillman, Stephanie Defibaugh-Chavez, Heather A Carleton, William A Klimke, Lee S Katz
https://doi.org/10.7287/peerj.preprints.3107v1