Data Science Training Program
Tuesday, October 19, 2021

Alex Pico

Director, Bioinformatics Core

Anders Riutta

Software Engineer III

Yihang Xin

Software Engineer II

Scientific databases are a critical resource for modern biomedical researchers and practitioners. Graph databases are a specialized type of database that 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 will be covered:

  • When to use 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

No prior experience required.


View the complementary workshops at UCSF.

Details

Date
October 19, 2021
Time
1:00-3:00pm PDT
Location
Online
Contact(s)





The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.

Diversity, Equity, and Inclusion

At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.

We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.