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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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Bibliografiset tiedot
Päätekijät: Negin Malekian, Srividhya Sainath, Ali Al-Fatlawi, Michael Schroeder
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2023-12-01
Sarja:Frontiers in Microbiology
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Linkit:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1276332/full
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