9.15: Talks (Optional)
9.15: Track 1 - Clayton Mellina: Crash Course in Google Cloud. - pdf
10.00 Talks (Optional)
9.15: Talks (Optional)
9.15: Track 1 - Clayton Mellina: Crash Course in Google Cloud. - pdf
10.00 Talks (Optional)
Below are the presentations given tonight:
18.45: Ben Busby, PhD: Welcome, Intro & Bioinformatics Overview. - pdf
19.00: Steven Tamm, Salesforce Welcome
19.05: Pete Kane: SVAI Welcome.
We have a set of TCGA pan cancer data created by Clemson (Note 1), as well as sequenced blood and tumor data (Note 2), which has been processed by Sean Davis (Note3). These data sets are available in Google cloud as well as on 4 disks.
Readings
(in response to a question from Tony LiVigni here)
(This is the original unedited version written for KCCure)
Forty years ago, MIT accepted me to grad school.
I was a “local boy” raised in Texas, working in my teenage years with my father in refineries in the Houston area. I remember remarking to my Dad, “A whole lot of people die early from kidney cancer in this job”.
I discuss the general value of making your tumor and blood data public here. But what am I doing with the public data I can access?
I’m trying to apply the “network effect” to all cancer research.
After a "High Risk of Recurrence" diagnosis in 2014 for a rare, terminal and untreatable kidney cancer, I was faced with many of the same challenges encountered by so many others with rare cancers. To learn more, I started attending Kidney Cancer conferences, spoke with specialists in the field, and began working with researchers and patient advocates to help expand the scope of their work and
After several months of development, and input from many sources (Patient Advocate Robin Martinez and Drs. James Hsieh, Sandy Srinivas, James Leppert), we have now released a clinical trial search tool for rare kidney cancer. Check it out and let us know what you think,