Gene Prioritization through ERC Analysis

This analysis ranks a list of candidate genes using their ERC values with a set of training genes. For an example application see: Priedigkeit NM, Wolfe NW, and Clark NL. Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and de novo construction of informative human disease networks. 2015.

Select taxonomic group Mammals Drosophila Yeast
Select output format Table Text
Enter candidates
Use a space-delimited format(ex. MCL1 ENSA GOLPH3L HORMAD1 CTSS CTSK ARNT SETDB1 CERS2 ANXA9)
Gene names for are capitalization senstive. Use gene names, not accessions. The sources for these genes can be found at SGD (yeast), UCSC (mammals), and FlyBase (drosophila).

Enter training set
Use a space-delimited format(ex. BRAF CDK4 CDKN2A MITF NF1 STK11 TERT TYR XRCC3)
Gene names for are capitalization sensitive. Use gene names, not accessions. The sources for these genes can be found at SGD (yeast), UCSC (mammals), and FlyBase (drosophila).