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SeqScreen-Nano: a computational platform for streaming, in-field characterization of microbial pathogens

(2023)10.1145/3584371.3612960Source: DataRank Database

SeqScreen-Nano: a computational platform for streaming, in-field characterization of microbial pathogens is a research paper (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.68)OA: goldTopics (18)IDs (PubMed, OpenAlex)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 (9)

Yunxi Liu ORCID,Michael Nute ORCID,Bingbing Hu ORCID,Anthony D. Kappell ORCID,Danielle S. LeSassier ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4387346476

Intelligence Advanced Research Projects Activity

Grant: W911NF-17-2-0089

NIH (National Institutes of Health)

Grant: P01-AI152999

NSF (National Science Foundation)

Grant: EF-212638

FWCI

2.68

Citation Percentile

0.9%

Citation Trend

2024

goldLicense: cc-by-nd

https://dl.acm.org/doi/pdf/10.1145/3584371.3612960

publisherhttps://dl.acm.org/doi/10.1145/3584371.3612960

https://doi.org/10.1145/3584371.3612960

Fields of Study

Genomics and Phylogenetic StudiesBacterial Identification and Susceptibility TestingMicrobial infections and disease research

Keywords

MinionNanopore sequencingComputer scienceORFSField (mathematics)BottleneckComputational biologyShigella flexneriGenomeArtificial intelligenceBiologyOpen reading frameGeneGeneticsEmbedded system

Sustainable Development Goals

SDG 0: Good health and well-being