Website News

19 Nov 2010
We have received 36 predictions on CAGI datasets, which will allow for a meaningful community experiment. Thank you for your participation!
17 Nov 2010
Late submission deadline for the CBS, CHEK2, p53, PGP, Cancer cell lines, and riskSNPs datasets is Dec 1. However, in fairness to those who submitted predictions on time, these will be considered distinctly. For more information, please see the Submission page from the left side menu.
17 Nov 2010
Submission deadline only for riskSNPs dataset is extended untill November 21st.
16 Nov 2010
Prediction submission formats were released for riskSNPs dataset. Please go to the page of each dataset from the left side menu to download template file for submission.
10 Nov 2010
Prediction submission formats were released for the CBS, CHEK2, p53, PGP, and Cancer cell lines datasets. Please go to the page of each dataset from the left side menu to download template file for submission.
10 Nov 2010
Prediction submission deadline has been set to 17 Nov 2010.
3 Nov 2010
We aim for submission deadline of 15 Nov 2010. The date will be confirmed with the assessors.
3 Nov 2010
The breast cancer cell line dataset with measured responses to a panel of drugs is released. To download the dataset, please go to Cancer cell lines page using the left side menu bar.
22 Oct 2010
The p53 dataset is released. To download the dataset, please go to p53 page using the left side menu bar.
21 Oct 2010
The prediction dataset for challenge: "Personal genome project (PGP) - Predict individuals' phenotypes" is released. Please go to PGP page using the left side menu bar.
12 Oct 2010
The pre-pro-CAGI workshop is confirmed to take place 10 Dec 2010 in Berkeley.
5 Oct 2010
There will be a gathering of individuals interested in CAGI at the 2010 ASHG in Washington, DC. All registered individuals will be notified. Please let us know of recommendations for dates and locations.
24 Sep 2010
The riskSNPs dataset is released, please register/log in using the left side menu bar
to download the dataset from the riskSNPs page.