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geno4sd/topology/README.md

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 # CuNA
 CuNA or Cumulant-based Network Analysis finds higher-order genotype-phenotype relationships from multi-omic data with EHR information across different thresholds of statistical significance. 
 
+## Prerequisites 
+CuNA uses the Julia library [Cumulants.jl](https://github.com/iitis/Cumulants.jl) which in turn requires Julia to be in your `PATH` variable. Install Julia from the [Julia software page](https://julialang.org/downloads/) and set your `PATH` as `export PATH=$PATH:_path_to_julia_`
 
 ## Input 
 CuNA takes a csv file as input with the features in columns and samples in rows (see `./sample_data/CuNA_TCGA_sample_data.csv`). It is multithreaded and takes an argument for number of threads