Package Recipe 'r-wgcna'

recipe r-wgcna

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Homepage:: http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
License:: GPL3 / GPL-3.0-or-later
Recipe:: /r-wgcna/meta.yaml
Links:: biotools: wgcna, doi: 10.1186/1471-2105-9-559

package r-wgcna¶

Versions:

1.74-1, 1.74-0, 1.73-1, 1.73-0, 1.71-5, 1.71-4, 1.71-3, 1.71-2, 1.71-0,

1.74-1, 1.74-0, 1.73-1, 1.73-0, 1.71-5, 1.71-4, 1.71-3, 1.71-2, 1.71-0, 1.69-5, 1.69-4, 1.69-3, 1.69-2, 1.69-1, 1.69-0, 1.68-1, 1.68-0, 1.67-0, 1.66-1, 1.66-0, 1.64_1-0, 1.61-0, 1.51-1, 1.51-0

Depends:

on bioconductor-annotationdbi >=1.72.0,<1.73.0a0
on bioconductor-go.db >=3.22.0,<3.23.0a0
on bioconductor-impute >=1.84.0,<1.85.0a0
on bioconductor-preprocesscore >=1.72.0,<1.73.0a0
on libgcc >=14
on libstdcxx >=14
on r-base >=4.5,<4.6.0a0
on r-doparallel
on r-dynamictreecut >=1.62
on r-fastcluster
on r-foreach
on r-hmisc
on r-matrixstats >=0.8.1
on r-rcpp >=0.11.0
on r-robust
on r-survival

Additional platforms:

linux-aarch64

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 r-wgcna

to add into an existing workspace instead, run:

pixi add r-wgcna

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 r-wgcna

Alternatively, to install into a new environment, run:

conda create -n envname r-wgcna

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/r-wgcna:<tag>

(see r-wgcna/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:

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