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Canopy  

Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing
View on CRAN: Click here


Download and install Canopy package within the R console
Install from CRAN:
install.packages("Canopy")

Install from Github:
library("remotes")
install_github("cran/Canopy")

Install by package version:
library("remotes")
install_version("Canopy", "1.3.0")



Attach the package and use:
library("Canopy")
Maintained by
Yuchao Jiang
[Scholar Profile | Author Map]
First Published: 2015-10-29
Latest Update: 2017-12-18
Description:
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.
How to cite:
Yuchao Jiang (2015). Canopy: Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing. R package version 1.3.0, https://cran.r-project.org/web/packages/Canopy. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0.0 (2015-10-29 18:50), 1.1.1 (2016-09-02 22:26), 1.2.0 (2017-04-08 22:30)
Other packages that cited Canopy R package
View Canopy citation profile
Other R packages that Canopy depends, imports, suggests or enhances
Complete documentation for Canopy
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