Rapid identification of enteric bacteria from whole genome sequences using average nucleotide identity metrics

Rapid identification of enteric bacteria from whole genome sequences using average nucleotide identity metrics

Identification of enteric bacteria species by whole genome sequence (WGS) analysis requires a rapid and an easily standardized approach. We leveraged the principles of average nucleotide identity using MUMmer (ANIm) software, which calculates the percent bases aligned between two bacterial genomes a...

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Bibliographic Details
Main Authors: Rebecca L. Lindsey, Lori M. Gladney, Andrew D. Huang, Taylor Griswold, Lee S. Katz, Blake A. Dinsmore, Monica S. Im, Zuzana Kucerova, Peyton A. Smith, Charlotte Lane, Heather A. Carleton
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Microbiology
Subjects:
average nucleotide identity
ANI
species identification
enteric bacteria
WGS
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1225207/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2023.1225207/full

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