- recipe bioconductor-lungcancerlines
Reads from Two Lung Cancer Cell Lines
- Homepage:
https://bioconductor.org/packages/3.18/data/experiment/html/LungCancerLines.html
- License:
Artistic-2.0
- Recipe:
Reads from an RNA-seq experiment between two lung cancer cell lines: H1993 (met) and H2073 (primary). The reads are stored as Fastq files and are meant for use with the TP53Genome object in the gmapR package.
- package bioconductor-lungcancerlines¶
- versions:
0.40.0-0,0.38.0-0,0.36.0-0,0.32.0-1,0.32.0-0,0.30.0-0,0.28.0-1,0.28.0-0,0.26.0-0,0.40.0-0,0.38.0-0,0.36.0-0,0.32.0-1,0.32.0-0,0.30.0-0,0.28.0-1,0.28.0-0,0.26.0-0,0.24.0-0,0.22.0-1,0.20.0-0- depends bioconductor-data-packages:
>=20231203- depends bioconductor-rsamtools:
>=2.18.0,<2.19.0- depends curl:
- depends r-base:
>=4.3,<4.4.0a0- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
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-lungcancerlines and update with:: mamba update bioconductor-lungcancerlines
To create a new environment, run:
mamba create --name myenvname bioconductor-lungcancerlines
with
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-lungcancerlines:<tag> (see `bioconductor-lungcancerlines/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-lungcancerlines/README.html)
