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The ctree package implements clones trees for cancer evolutionary studies. These models are built from Cancer Cell Franctions (CCFs) clusters computed via tumour subclonal deconvolution, using either one or more tumour biopsies at once. They can be used to model evolutionary trajectories from bulk sequencing data, especially if whole-genome sequencing is available. The package implements S3 objects for the mutation trees, as well as a Monte Carlo sampler to generate them, as well as functions to plot and analyze the trees. The sibling of a clone tree is a mutation tree, which is built from binary mutation profiles; refer to the mtree package for mutation trees.

Citation

Please cite this if you use ctree:

  • G. Caravagna, Y. Giarratano, D. Ramazzoti, I. Tomlinson, T.A. Graham, G. Sanguinetti, A. Sottoriva. Detecting repeated cancer evolution from multi-region tumor sequencing data. Nature Methods 15, 707–714 (2018).

Help and support


Installation

You can install the released version of ctree with:

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

Giulio Caravagna. Cancer Data Science (CDS) Laboratory.