Most requested datasets from our publications

If the dataset you are interested in is not listed here, contact Rachel Karchin karchin at jhu dot edu

Comprehensive Characterization of Cancer Driver Genes and Mutations

Cell. Volume 173, Issue 2 p371-385.e18

Supplemental, Open, and Controlled-access data


Evaluating the Evaluation of Cancer Driver Genes

Proc Natl Acad Sci U S A. 2016 113(50):14330-14335

Predicted driver genes by 20/20plus (Excel XLSX) from 32 TCGA tumor types and MC3 mutation calls.


Cancer-Specific High-Throughput Annotation of Somatic Mutations (CHASM):
Computational Prediction of Driver Missense Mutations

Cancer Res 2009 69:6660-6667

CHASM training set (freeze from August 2009) (ZIPPED archive)


Functional Impact of missense variants in BRCA1 predicted by supervised learning

PLoS Comput Biol. 2007 Feb 16;3(2):e26

Extreme phenotype yeast mutants in TP53 from Kato et al. (PNAS 2003)

BRCA1 BRCT domain variants with transactivation assay labels

BRCA1 BRCT domain variants of undetermined significance in Breast Information Core (BIC) database