Using Google BigQuery and R to Analyze TCGA data from the NCI Genomic and Proteomic Data Commons
When: Oct. 9th, 2024 11:00 am - 12:00 pm
Learning Level: Advanced
To Know
Where:
Online Webinar
Organizer:
BTEP
Presented By:
David Pot Ph.D. (ISB-CGC), Fabian Seidl Ph.D. (ISB-CGC)
About this Class
This session will give an overview of the NCI Cancer Research Data Commons and the variety of available cancer data such as RNA expression and protein abundance. These data are hosted in openly accessible Google BigQuery tables by ISB-CGC. We will provide a hands-on tutorial showing how to browse and perform pan-TCGA analyses in minutes with SQL and how to feed these data into R to perform differential expression using cloud resources.
This class is recommended for advanced users with R, Python, or SQL experience.
- Join by video system
-
Dial 23061073626@cbiit.webex.comYou can also dial 173.243.2.68 and enter your meeting number.
- Join by phone
-
1-650-479-3207 Call-in number (US/Canada)Access code: 2306 107 3626