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AMR-meta: a k-mer and metafeature approach to classify antimicrobial resistance from high-throughput short-read metagenomics data
BACKGROUND: Antimicrobial resistance (AMR) is a global health concern. High-throughput metagenomic sequencing of microbial samples enables profiling of AMR genes through comparison with curated AMR databases. However, the performance of current methods is often hampered by database incompleteness an...
Autores principales: | Marini, Simone, Oliva, Marco, Slizovskiy, Ilya B, Das, Rishabh A, Noyes, Noelle Robertson, Kahveci, Tamer, Boucher, Christina, Prosperi, Mattia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116207/ https://www.ncbi.nlm.nih.gov/pubmed/35583675 http://dx.doi.org/10.1093/gigascience/giac029 |
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