MC3

The TCGA PanCancer Atlas MC3 project re-called mutations across TCGA exome data to provide a more uniform resource for cross-cancer analysis. Earlier TCGA studies used different calling methods over time and across centers, making direct comparisons difficult.

MC3 applied multiple mutation-calling algorithms to standardized, realigned data and used automated filters to produce a harmonized call set. Before using the data, consult its documentation for processing details, filters, caveats, and recommended practices.

Kyle Ellrott
Kyle Ellrott
Associate Professor

Researching Cancer Genomics Data Science