Pipelines for building correlation networks from gene expression data.
Currently there is one pipeline, pipeline_wgcna.py. The code has been used by the group for several projects but is still undergoing development and testing and should be considered "beta" - please do your own sanity checks if you use it!
-
Install the cgat-core pipeline system following the instructions here: https://github.com/cgat-developers/cgat-core/
-
Clone the cornet repository, e.g.
$> git clone https://github.com/sansomlab/cornet.git
- In the same virtual or conda environment as cgat-core install the required python packages:
$> pip install -r cornet/python/requirements.txt
- To install the required R packages (R>4.0.0, bioconductor and devtools are prerequisite):
$> Rscript cornet/R/install.packages.R
- Documentation for pipeline_wgcna.py is avaliable here.