The evoverse collects multiple R packages to implement Cancer
Evolution analyses on cancer bulk sequencing data, which can be used to
reconcile tumour heterogeneity (TH).
With the evoverse functions you can study TH across patients
(inter-patient heterogeneity), or within a patient (intra-tumour
heterogeneity).
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functions to QC somatic calls (mutation and copy number segments) for a Cancer Evolution analysis;
-
functions to determine subclonal architectures integrating both Population Genetics and Machine Learning (model based subclonal deconvolution);
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determine repeated evolution across patients, comparing tumours for their evolutionary trajectories (repeated evolutionary trajectories).
You can install the released version of evoverse from
GitHub with:
# install.packages("devtools")
devtools::install_github("caravagn/evoverse")Giulio Caravagna, PhD. Institute of Cancer Research, London, UK.
