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Journal / Bioengineering / Databaser for å effektivt administrere mellom…
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JoVE Journal Bioengineering
Databaser for å effektivt administrere mellom store, lav hastighet, flerdimensjonale data i vev engineering
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Databaser for å effektivt administrere mellom store, lav hastighet, flerdimensjonale data i vev engineering

Article DOI: 10.3791/60038-v • 09:43 min • November 22nd, 2019
November 22nd, 2019 •
1,2, 1,2, 1,2, 1,2, 1,2, 3,4, 1,2,5,6,7
1Department of Biomedical Engineering, University of California, Irvine, 2The Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, 3Pediatrics-Genetics & Genomics Division-School of Medicine, University of California, Irvine, 4Biological Chemistry-School of Medicine, University of California, Irvine, 5Department of Chemical and Biomolecular Engineering, University of California, Irvine, 6Center for Complex Biological Systems, University of California, Irvine, 7The NSF-Simons Center for Multiscale Cell Fate Research (CMCF), University of California, Irvine

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Mange forskere genererer "middels store", lav hastighet og flerdimensjonale data, som kan administreres mer effektivt med databaser i stedet for regneark. Her gir vi en konseptuell oversikt over databaser, inkludert visualisering av flerdimensjonale data, kobling av tabeller i relasjonsdatabase strukturer, tilordning av semi-automatiserte datasamlebånd og bruk av databasen til å belyse data betydning.

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Bioteknologi mellom store data databaser LMNA data organisering flerdimensjonale data vev engineering
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