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caravagnalab / INCOMMON

Inference of copy number and mutation multiplicity in oncology
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bayesian-inference biomarker-discovery cancer-genomics copy-number-variation metastasis survival-analysis

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INCOMMON

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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!

Help and support

Installation

You can install the INCOMMON from GitHub with:

# install.packages("devtools")
devtools::install_github("caravagnalab/INCOMMON")

Copyright and contacts

Cancer Data Science (CDS) Laboratory.