用于高效管理组织工程中中等规模、低通量多维数据的数据库
5.9K 次观看
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被引用 5 次
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09:43 分钟
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2019年11月22日
DOI :10.3791/60038-v
2019年11月22日
•5.9K 次观看
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
许多研究人员生成的是“中等规模”、低通量且多维的数据，这类数据使用数据库管理比使用电子表格更为高效。本文对数据库的基本概念进行概述，包括多维数据的可视化、关系型数据库结构中表的关联、半自动化数据流程的映射，以及如何利用数据库揭示数据的内在含义。
Chapters in this video
0:05
Title
0:35
Evaluation of Data to See if it Would Benefit from a Database Organization Scheme
1:16
Organizing the Database Structure
2:51
Set-up and Organization of the Pipeline
4:58
Creation of the Database and Queries
7:34
Results: Identifying a Novel Relationship in LMNA Mutation Data Set
9:11
Conclusion
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