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Working with Biomedical Graph Databases

Alexander Pico edited this page Oct 19, 2021 · 2 revisions

Description

Scientific databases are a critical resource for modern biomedical researchers and practitioners. Graph databases are a specialized type of database the offer distinct advantages for storing and representing biomedical knowledge. Major NIH initiatives are funding the development of new biomedical graph databases to support advanced queries and reasoning not possible with traditional relational databases. Learn when graph databases are useful, what goes into their assembly and how to use them in your research.

The topics that we'll cover are listed below.

  • What makes a graph database
  • Why it is effective for biomedical knowledge
  • When to use a graph database
  • How to use SPOKE-UCSF and Wikidata
    • Contents and connections
    • Demonstration of queries and interpretation
    • Hands-on examples: online and scripted

Learning Path

Novice   No prior experience required.

Materials

Pre-workshop Instructions

None