/
/
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
É necessária uma assinatura da JoVE para visualizar este conteúdo. Faça login ou comece sua avaliação gratuita.
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
Capítulos
- 00:05Título
- 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
Many researchers generate "medium-sized", low-velocity, and multi-dimensional data, which can be managed more efficiently with databases rather than spreadsheets. Here we provide a conceptual overview of databases including visualizing multi-dimensional data, linking tables in relational database structures, mapping semi-automated data pipelines, and using the database to elucidate data meaning.
