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PredictION: a predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2

PeerJ(2022)10.7717/peerj.14425Source: DataRank Database

PredictION: a predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2 is a research paper published in PeerJ (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 0.10)OA: goldTopics (25)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)

Diana López ORCID,Nelson Rivera-Franco ORCID,Andrés Castillo ORCID,Johan S. Piña ORCID,Carlos A. Pardo ORCID

Live enrichment

PubMed:36518292 PMC:PMC9744141 OpenAlex:https://openalex.org/W4310472689

National Institutes of Health

Grant: NIH, No. R01NS110122

NINDS NIH HHS

Grant: R01 NS110122

Neuroviruses Emerging in the Americas Study

FWCI

0.10

Citation Percentile

0.4%

Citation Trend

2023

goldLicense: cc-by

journalhttps://doi.org/10.7717/peerj.14425

publisherhttps://doi.org/10.7717/peerj.14425

publisherhttps://peerj.com/articles/14425.pdf

publisherhttps://peerj.com/articles/14425.xml

publisherhttps://peerj.com/articles/14425.html

Fields of Study

SARS-CoV-2 and COVID-19 ResearchCOVID-19 diagnosis using AIvaccines and immunoinformatics approaches

MeSH Terms

COVID-19SARS-CoV-2HumansGenomeSequence Analysis, DNAHigh-Throughput Nucleotide Sequencing

Keywords

MinionNanopore sequencingComputer scienceMetric (unit)ReuseGenomeComputational biologyData miningBiologyGeneticsEngineeringGenomesMachine LearningLinear ModelsSequencesOxford Nanopore Technologies

Sustainable Development Goals

SDG 0: Partnerships for the goals

PredictION: a predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2

FAIR Checklist

Authors (7)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)