Databaser til effektivt at styre mellemstore, lav hastighed, flerdimensionelle data i vævsteknik
November 22nd, 2019
•Alexander R. Ochs1,2, Mehrsa Mehrabi1,2, Danielle Becker1,2, Mira N. Asad1,2, Jing Zhao1,2, Michael V. Zaragoza3,4, Anna Grosberg1,2,5,6,7
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
Mange forskere genererer "mellemstore", lavhastigheds-og flerdimensionelle data, som kan styres mere effektivt med databaser i stedet for regneark. Her giver vi en konceptuel oversigt over databaser, herunder visualisering af flerdimensionelle data, sammenkædning af tabeller i relationsdatabase strukturer, kortlægning af semi-automatiserede datapipelines og brug af databasen til at belyse data betydning.
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