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Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis

Bioinformatics(2024)10.1093/bioinformatics/btae243Source: DataRank Database

Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis is a research paper published in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 17 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access17 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: goldTopics (25)IDs (PubMed)SDGs (1)

FAIR Checklist

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Simone Marini ORCID,Jarno Alanko ORCID,Noelle Noyes ORCID,Mattia Prosperi ORCID,Christina Boucher ORCID

Live enrichment

PubMed:38940175

NIAID

Grant: R01AI141810

NSF

Grant: 2118251

Collaborative Research: EAGER: Solving the bait learning problem for large-scale DNA enrichment

NIH

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/article-pdf/40/Supplement_1/i39/58355092/btae243.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11211809/pdf/btae243.pdf

https://doi.org/10.1101/2023.11.16.567394

https://doi.org/10.1093/bioinformatics/btae243

https://pubmed.ncbi.nlm.nih.gov/38940175

Fields of Study

Mycobacterium tuberculosisMachine LearningDrug Resistance, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsWhole Genome SequencingGenome, BacterialHumans

MeSH Terms

Mycobacterium tuberculosisMachine LearningDrug Resistance, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsWhole Genome SequencingGenome, BacterialHumans

Keywords

Machine LearningWhole Genome SequencingDrug Resistance, BacterialHumansBioinformatics of Microbes and MicrobiomesMycobacterium tuberculosisMicrobial Sensitivity TestsGenome, BacterialAnti-Bacterial Agents

Sustainable Development Goals

SDG 3: 3. Good health