Created
September 8, 2014 10:55
-
-
Save ctb/b147518c0e25cda65207 to your computer and use it in GitHub Desktop.
AGTA 2014 talk info
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Title: What's ahead for biology? The data-intensive future. | |
The rise of -omics over the last 20 years, and the increasing need for | |
efficient and integrative approaches to data analysis, portends some | |
interesting and challenging changes in biology research over the next decade. | |
For one example, what happens when high-density multi-omics data is available | |
for low cost for every experiment? I will discuss both my own work on | |
efficient sequence analysis approaches as well as a larger context of | |
some larger-scale data investigations. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment