Dig builds genome-wide maps of somatic mutation rates in cancer genomes and allows any set of candidate mutations to be tested for an excess of observed mutations compared to the number expected based on the neutral mutation rate.

Want to visually explore somatic mutation rates across the genome? Check out our genome browser genome browser with maps of predicted and observed mutation counts for 37 types of cancer.

See our wiki for installation instructions and tutorials.

All necessary data files are available from our data portal

Want to learn more about Dig and its biological applications? Check out our preprint Sherman et al. 2021.

Really want to get into the weeds of the deep-learning model? Check out our ICRL paper.

Please cite both papers if you make use of our resources.