Tracking Antibiotic Resistance from the Environment to Human Health
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-3072-3_15
Reference53 articles.
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3. Andersson DI, Nicoloff H, Hjort K (2019) Mechanisms and clinical relevance of bacterial heteroresistance. Nat Rev Microbiol 17:479–496. https://doi.org/10.1038/s41579-019-0218-1
4. Arango-Argoty GA, Guron GKP, Garner E, Riquelme MV, Heath LS, Pruden A et al (2020) ARGminer: a web platform for the crowdsourcing-based curation of antibiotic resistance genes. Bioinformatics 36:2966–2973. https://doi.org/10.1093/bioinformatics/btaa095
5. Arango-Argoty G, Garner E, Pruden A, Heath LS, Vikesland P, Zhang L (2018) DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome 6. https://doi.org/10.1186/s40168-018-0401-z
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