- recipe bioconductor-moda
MODA: MOdule Differential Analysis for weighted gene co-expression network
GPL (>= 2)
MODA can be used to estimate and construct condition-specific gene co-expression networks, and identify differentially expressed subnetworks as conserved or condition specific modules which are potentially associated with relevant biological processes.
- package bioconductor-moda¶
- depends bioconductor-amountain:
- depends r-base:
- depends r-cluster:
- depends r-dynamictreecut:
- depends r-igraph:
- depends r-rcolorbrewer:
- depends r-wgcna:
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-moda and update with:: mamba update bioconductor-moda
To create a new environment, run:
mamba create --name myenvname bioconductor-moda
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-moda:<tag> (see `bioconductor-moda/tags`_ for valid values for ``<tag>``)