INCOMMON is a tool for the INference of COpy number and Mutation Multiplicity in ONcology. INCOMMON infers the copy number and multiplicity of somatic mutations from tumor-only read count data, and can be applied to classify mutations from large-size datasets in an efficient and fast way.
INCOMMON is also available as a user-friendly ShinyApp.
You can download the results of our analysis from Zenodo.
Check out our preprint on medRxiv!
You can install the INCOMMON from GitHub with:
# install.packages("devtools")
devtools::install_github("caravagnalab/INCOMMON")Cancer Data Science (CDS) Laboratory.
