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Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.03.467126Source: DataRank Database

Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)SDGs (2)

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Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Rodrígo Mora ORCID,Christina Boucher ORCID,Noelle Noyes ORCID,Mattia Prosperi ORCID,Simone Marini ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W3210612776

National Science Foundation

Grant: 2013998

SCH: INT: Enabling real time surveillance of antimicrobial resistance

National Institutes of Health

Grant: 1R01AI141810-01

Developing Computational Methods for Surveillance of Antimicrobial Resistant Agents

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/01/11/2021.11.03.467126.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.11.03.467126

repositoryhttps://doi.org/10.1101/2021.11.03.467126

https://doi.org/10.1093/bib/bbac020

Fields of Study

Bacterial Identification and Susceptibility TestingGenomics and Phylogenetic StudiesAntibiotic Resistance in Bacteria0301 basic medicine03 medical and health sciences

Keywords

ThroughputMachine learningComputer scienceGenotypingAntibiotic resistanceArtificial intelligenceData scienceData miningBiologyGeneAntibioticsGenotypeGeneticsEmploymentDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingMicrobial Sensitivity TestsAnti-Bacterial Agents

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 3: 3. Good health