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Accession: PRJNA1031940 ID: 1031940

An Open-Source, Automated, and Cost-Effective Platform for COVID-19 Diagnosis and Rapid Portable Genomic Surveillance Using Nanopore Sequencing

We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. More...
AccessionPRJNA1031940
Data TypeRaw sequence reads
ScopeMultispecies
Grants
  • "KAUST faculty baseline" (Grant ID BAS/1/1020-01-01, King Abdullah University of Science and Technology Office of Sponsored Research)
  • "KAUST faculty baseline" (Grant ID BAS/1/1080-01, King Abdullah University of Science and Technology Office of Sponsored Research)
  • "KAUST faculty baseline" (Grant ID URF/1/1976-36, King Abdullah University of Science and Technology Office of Sponsored Research)
SubmissionRegistration date: 25-Oct-2023
King Abdullah University of Science and Technology
RelevanceMedical
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments31
Other datasets
BioSample31
SRA Data Details
ParameterValue
Data volume, Gbases1
Data volume, Mbytes573

Supplemental Content

Related information

  • BioSample
    All related BioSamples
  • SRA
    All related SRA Experiments

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