- recipe bioconductor-rcellminer
rcellminer: Molecular Profiles, Drug Response, and Chemical Structures for the NCI-60 Cell Lines
LGPL-3 + file LICENSE
The NCI-60 cancer cell line panel has been used over the course of several decades as an anti-cancer drug screen. This panel was developed as part of the Developmental Therapeutics Program (DTP, http://dtp.nci.nih.gov/) of the U.S. National Cancer Institute (NCI). Thousands of compounds have been tested on the NCI-60, which have been extensively characterized by many platforms for gene and protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose of the CellMiner project (http://discover.nci.nih.gov/ cellminer) has been to integrate data from multiple platforms used to analyze the NCI-60 and to provide a powerful suite of tools for exploration of NCI-60 data.
- package bioconductor-rcellminer¶
- depends bioconductor-biobase:
- depends bioconductor-rcellminerdata:
- depends r-base:
- depends r-ggplot2:
- depends r-gplots:
- depends r-shiny:
- depends r-stringr:
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-rcellminer and update with:: mamba update bioconductor-rcellminer
To create a new environment, run:
mamba create --name myenvname bioconductor-rcellminer
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-rcellminer:<tag> (see `bioconductor-rcellminer/tags`_ for valid values for ``<tag>``)