Canopy: Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing
Version 1.2.0

A statistical framework and computational procedure for identifying the sub-populations within a tumor, determining the mutation profiles of each subpopulation, and inferring the tumor's phylogenetic history. The input are variant allele frequencies (VAFs) of somatic single nucleotide alterations (SNAs) along with allele-specific coverage ratios between the tumor and matched normal sample for somatic copy number alterations (CNAs). These quantities can be directly taken from the output of existing software. Canopy provides a general mathematical framework for pooling data across samples and sites to infer the underlying parameters. For SNAs that fall within CNA regions, Canopy infers their temporal ordering and resolves their phase. When there are multiple evolutionary configurations consistent with the data, Canopy outputs all configurations along with their confidence assessment.

Getting started

Package details

AuthorYuchao Jiang, Nancy R. Zhang
Date of publication2017-04-08 20:30:16 UTC
MaintainerYuchao Jiang <[email protected]>
LicenseGPL-2
Version1.2.0
URL https://github.com/yuchaojiang/Canopy
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Canopy")

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Canopy documentation built on May 29, 2017, 10:14 p.m.