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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
Chapters
- 00:05Title
- 00:35Evaluation of Data to See if it Would Benefit from a Database Organization Scheme
- 01:16Organizing the Database Structure
- 02:51Set-up and Organization of the Pipeline
- 04:58Creation of the Database and Queries
- 07:34Results: Identifying a Novel Relationship in LMNA Mutation Data Set
- 09:11Conclusion
Muchos investigadores generan datos "de tamaño medio", de baja velocidad y multidimensionales, que se pueden gestionar de forma más eficiente con bases de datos en lugar de hojas de cálculo. Aquí proporcionamos una visión general conceptual de las bases de datos, incluida la visualización de datos multidimensionales, la vinculación de tablas en estructuras de bases de datos relacionales, la asignación de canalizaciones de datos semiautomáticas y el uso de la base de datos para dilucidar el significado de los datos.
