recipe bioconductor-fieldeffectcrc

Tumor, tumor-adjacent normal, and healthy colorectal transcriptomes as SummarizedExperiment objects

Homepage

https://bioconductor.org/packages/3.14/data/experiment/html/FieldEffectCrc.html

License

Artistic-2.0

Recipe

/bioconductor-fieldeffectcrc/meta.yaml

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

1.4.0-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

Depends

• bioconductor-annotationhub >=3.2.0,<3.3.0

• bioconductor-biocstyle >=2.22.0,<2.23.0

• bioconductor-deseq2 >=1.34.0,<1.35.0

• bioconductor-experimenthub >=2.2.0,<2.3.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• curl >=7.79.1,<8.0a0

• r-base >=4.1,<4.2.0a0

• r-runit

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-fieldeffectcrc

and update with:

conda update bioconductor-fieldeffectcrc

or 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)