/evoverse

The evoverse is a package to implement cancer evolution analysis on multi-sample cancer sequecing data.

Primary LanguageHTMLGNU General Public License v3.0GPL-3.0

evoverse

Travis build status

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).

Features

  • 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);

  • determine repeated evolution across patients, comparing tumours for their evolutionary trajectories (repeated evolutionary trajectories).

Help and support

Installation

You can install the released version of evoverse from GitHub with:

# install.packages("devtools")
devtools::install_github("caravagn/evoverse")

Copyright and contacts

Giulio Caravagna, PhD. Institute of Cancer Research, London, UK.