Word-based GWAS harnesses the rich potential of genomic data for E. coli quinolone resistance

Quinolone resistance presents a growing global health threat. We employed word-based GWAS to explore genomic data, aiming to enhance our understanding of this phenomenon. Unlike traditional variant-based GWAS analyses, this approach simultaneously captures multiple genomic factors, including single...

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Bibliographic Details

Published in:	Frontiers in Microbiology
Main Authors:	Negin Malekian, Srividhya Sainath, Ali Al-Fatlawi, Michael Schroeder
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-12-01
Subjects:	genome-wide association studies (GWAS) microbial GWAS word-based GWAS unitig-GWAS E. coli quinolone
Online Access:	https://www.frontiersin.org/articles/10.3389/fmicb.2023.1276332/full