Browse AMR Mutations
Explore antimicrobial resistance mutations from the literature
Explore antimicrobial resistance mutations from the literature
Overview
Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.
A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.
Mycobacterium tuberculosis katG mutations conferring resistance to isoniazid; CARD accession: CARD:3003392
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