Mutation Signatures in Individual Tumours
Installation instructions are below. For a tutorial on SignIT, please see the Vignette.
To install from GitHub, please follow these steps:
First make sure that you can install the rstan package and C++ toolchain by following these instructions. Also, be sure to install BSgenome from Bioconductor. If it is not installed, you can use the following commands in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install('BSgenome')
You may also need to install specific cancer genomes to fit your need. For example:
BiocManager("BSgenome.Hsapiens.UCSC.hg19")
Once rstan and BSgenome are successfully installed, you can install SignIT from GitHub using the devtools package by executing the following in R:
if (!require(devtools)) {
install.packages("devtools")
library(devtools)
}
install_github("eyzhao/SignIT", recompile = TRUE, build_vignettes = FALSE)
A common error in install_github is
Downloading GitHub repo eyzhao/SignIT@master
from URL https://api.github.com/repos/eyzhao/SignIT/zipball/master
Installation failed: error in running command
If this happens, try executing options(unzip = 'internal') and try again.
When installing, if you get a C++ error along the lines of C++14 standard requested but CXX14 is not defined, try editing ~/.R/Makevars to read
CXX14 = g++ -std=c++1y
CXX14FLAGS = -O3 -Wno-unused-variable -Wno-unused-function
A convenient way to set up a standalone installation of R with SignIT is to use an Anaconda environment. In a Bash shell, the following commands will check out such an environment and install it locally.
git clone https://github.com/eyzhao/bio-pipeline-dependencies.git
cd bio-pipeline-dependencies
git checkout tags/SignIT-paper-dependencies
make
After this is complete, run the following command to activate the environment and run R.
source miniconda3/bin/activate dependencies
R