In bmbroom/NGCHMR: Utilities for Creating Next Generation Clustered Heat Maps

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

System Requirements

• R >= 3.5
• Java >= 8
• git, tar, scp, ssh
• Mac/Linux: typically installed by default
• Windows: Cygwin or Windows Subsystem for Linux (Windows 10)
• C compiler
• Mac: Xcode
• Linux: gcc
• Windows: Rtools or Rtools40 (Windows 10)
• R package tsvio
• This package requires a C compiler
• R package NGCHMSupportFiles
• This package requires Java to use
• This package contains a compiled .jar file and minified JavaScript file

Install from GitHub

The above-mentioned R packages can be installed from GitHub with remotes:

remotes::install_github('MD-Anderson-Bioinformatics/tsvio')
remotes::install_github('MD-Anderson-Bioinformatics/NGCHMSupportFiles', ref='main')
remotes::install_github('MD-Anderson-Bioinformatics/NGCHM-R')

Using the Docker Image

There is also a Docker image, ngchm/rstudio-ngchm, containing RStudio, the NGCHM-R package, and all needed dependencies available on Docker Hub.

The YouTube Video, How to Create Next-Generation Clustered Heat Map in R Studio details usage of the Docker image. Further installation and usage information is available in this the RStudio NGCHM GitHub project.

bmbroom/NGCHMR documentation built on April 18, 2022, 6:52 p.m.