- recipe bioconductor-fieldeffectcrc
Tumor, tumor-adjacent normal, and healthy colorectal transcriptomes as SummarizedExperiment objects
- Homepage:
https://bioconductor.org/packages/3.18/data/experiment/html/FieldEffectCrc.html
- License:
Artistic-2.0
- Recipe:
Processed RNA-seq data for 1,139 human primary colorectal tissue samples across three phenotypes, including tumor, normal adjacent-to-tumor, and healthy, available as Synapse ID syn22237139 on synapse.org. Data have been parsed into SummarizedExperiment objects available via ExperimentHub to facilitate reproducibility and extension of results from Dampier et al. (PMCID: PMC7386360, PMID: 32764205).
- package bioconductor-fieldeffectcrc¶
- versions:
1.12.0-0
,1.10.0-0
,1.8.0-0
,1.4.0-1
,1.4.0-0
,1.2.0-0
,1.0.0-1
,1.0.0-0
- depends bioconductor-annotationhub:
>=3.10.0,<3.11.0
- depends bioconductor-biocstyle:
>=2.30.0,<2.31.0
- depends bioconductor-data-packages:
>=20231203
- depends bioconductor-deseq2:
>=1.42.0,<1.43.0
- depends bioconductor-experimenthub:
>=2.10.0,<2.11.0
- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0
- depends curl:
- depends r-base:
>=4.3,<4.4.0a0
- depends r-runit:
- 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-fieldeffectcrc and update with:: mamba update bioconductor-fieldeffectcrc
To create a new environment, run:
mamba create --name myenvname bioconductor-fieldeffectcrc
with
myenvname
being 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-fieldeffectcrc:<tag> (see `bioconductor-fieldeffectcrc/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-fieldeffectcrc/README.html)