- recipe bioconductor-sponge
Sparse Partial Correlations On Gene Expression
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/SPONGE.html
- License:
GPL (>=3)
- Recipe:
This package provides methods to efficiently detect competitive endogeneous RNA interactions between two genes. Such interactions are mediated by one or several miRNAs such that both gene and miRNA expression data for a larger number of samples is needed as input. The SPONGE package now also includes spongEffects: ceRNA modules offer patient-specific insights into the miRNA regulatory landscape.
- package bioconductor-sponge¶
-
- Versions:
1.32.0-0,1.28.0-0,1.22.0-0,1.20.0-0,1.16.0-0,1.14.0-0,1.12.0-1,1.12.0-0,1.10.0-0,1.32.0-0,1.28.0-0,1.22.0-0,1.20.0-0,1.16.0-0,1.14.0-0,1.12.0-1,1.12.0-0,1.10.0-0,1.8.0-0,1.6.1-0,1.4.0-0- Depends:
on bioconductor-biobase
>=2.70.0,<2.71.0on bioconductor-biomart
>=2.66.0,<2.67.0on bioconductor-complexheatmap
>=2.26.0,<2.27.0on r-base
>=4.5,<4.6.0a0on r-caret
on r-cvms
on r-data.table
on r-dorng
on r-dplyr
on r-expm
on r-foreach
on r-ggplot2
on r-ggpubr
on r-ggridges
on r-glmnet
on r-grbase
on r-igraph
on r-iterators
on r-logging
on r-mass
on r-metbrewer
on r-ppcor
on r-randomforest
on r-rlang
on r-stringr
on r-tidyr
on r-tidyverse
on r-tnet
- 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-sponge
to add into an existing workspace instead, run:
pixi add bioconductor-sponge
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-sponge
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-sponge
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-sponge:<tag>
(see bioconductor-sponge/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-sponge/README.html)