ClustFinder: A tool for threshold-delineated clustering of microbial isolates by pairwise genomic distance.

Autor: Chaggar HK; Department of Food Science, University of Tennessee, Knoxville, TN, USA., Hudson LK; Department of Food Science, University of Tennessee, Knoxville, TN, USA., Kuster R; Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, USA., Garman KN; Tennessee Department of Health, Nashville, TN 37243, USA., Dunn JR; Tennessee Department of Health, Nashville, TN 37243, USA., Denes TG; Department of Food Science, University of Tennessee, Knoxville, TN, USA. Electronic address: tdenes@utk.edu.
Jazyk: angličtina
Zdroj: Journal of microbiological methods [J Microbiol Methods] 2023 Aug; Vol. 211, pp. 106788. Date of Electronic Publication: 2023 Jul 17.
DOI: 10.1016/j.mimet.2023.106788
Abstrakt: This paper presents ClustFinder, a command line tool designed to automate clustering of genomes based on genomic distance. This tool will aid researchers and public health professionals in the identification of epidemiological clusters. Here, we demonstrate the usage of ClustFinder with example datasets. ClustFinder is available at github.com/Denes-Lab/ClustFinder.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier B.V.)
Databáze: MEDLINE
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