- recipe bioconductor-reactomegsa
Client for the Reactome Analysis Service for comparative multi-omics gene set analysis
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/ReactomeGSA.html
- License:
MIT + file LICENSE
- Recipe:
The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.
- package bioconductor-reactomegsa¶
-
- Versions:
1.24.1-0,1.20.0-0,1.16.1-0,1.14.0-0,1.12.0-0,1.8.0-0,1.6.0-0,1.4.0-1,1.4.0-0,1.24.1-0,1.20.0-0,1.16.1-0,1.14.0-0,1.12.0-0,1.8.0-0,1.6.0-0,1.4.0-1,1.4.0-0,1.2.0-0,1.0.0-0- Depends:
on bioconductor-biobase
>=2.70.0,<2.71.0on bioconductor-biocsingular
>=1.26.0,<1.27.0on bioconductor-summarizedexperiment
>=1.40.0,<1.41.0on r-base
>=4.5,<4.6.0a0on r-dplyr
on r-ggplot2
on r-gplots
on r-httr
on r-igraph
on r-jsonlite
on r-progress
on r-rcolorbrewer
on r-tidyr
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-reactomegsa
to add into an existing workspace instead, run:
pixi add bioconductor-reactomegsa
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-reactomegsa
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-reactomegsa
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-reactomegsa:<tag>
(see bioconductor-reactomegsa/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-reactomegsa/README.html)