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cornet

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!

Installation

  1. Install the cgat-core pipeline system following the instructions here: https://github.com/cgat-developers/cgat-core/

  2. Clone the cornet repository, e.g.

   $> git clone https://github.com/sansomlab/cornet.git
  1. In the same virtual or conda environment as cgat-core install the required python packages:
   $> pip install -r cornet/python/requirements.txt
  1. To install the required R packages (R>4.0.0, bioconductor and devtools are prerequisite):
   $> Rscript cornet/R/install.packages.R

Running the pipelines

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Pipelines for correlation network analysis for gene expression data

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