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Using intrahost single nucleotide variant data to predict SARS-CoV-2 detection cycle threshold values

PLoS ONE(2024)10.1371/journal.pone.0312686Source: DataRank Database

Using intrahost single nucleotide variant data to predict SARS-CoV-2 detection cycle threshold values is a research paper published in PLoS ONE (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: goldTopics (21)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Marcus Nguyen ORCID,Paul Christensen ORCID,S. Wesley Long ORCID,Randall J. Olsen ORCID,James M. Musser ORCID

Live enrichment

PubMed:39475880 PMC:PMC11524481 OpenAlex:https://openalex.org/W4403920421

National Institute of Allergy and Infectious Diseases

Grant: 75N93019C00076

Discovery Partners Institute

Grant: PRJ1009544

Northwestern-Argonne Institute of Science and Engineering

Grant: Summer Research Internship

Houston Methodist Academic Institute

Grant: Infectious Diseases Fund

FWCI

0.00

Citation Percentile

0.2%

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pone.0312686

publisherhttps://doi.org/10.1371/journal.pone.0312686

publisherhttps://dx.plos.org/10.1371/journal.pone.0312686

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39475880

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11524481

Fields of Study

SARS-CoV-2 detection and testingSARS-CoV-2 and COVID-19 ResearchAdvanced biosensing and bioanalysis techniques

MeSH Terms

COVID-19SARS-CoV-2HumansGenome, ViralViral LoadPolymorphism, Single NucleotidePandemics

Keywords

GenomeComputational biologyTransmissibility (structural dynamics)Confidence intervalBiologyReference genomeGeneticsStatisticsMathematicsGenePhysics

Sustainable Development Goals

SDG 0: Good health and well-being

Using intrahost single nucleotide variant data to predict SARS-CoV-2 detection cycle threshold values

FAIR Checklist

Authors (7)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)