I have run a permutation analysis on genetic interactions and I am trying to see if the biology of the significant ones is more relevant than the non-significant interaction's biology. To do that and since there is no literature for most of the interactions, I have searched for each interacting gene's GO terms and then found the ones that overlap. My issue is that I need to run a random distribution analysis to check whether the frequency of overlap is more significant than in randomly generated pairs. To do this, I need to obtain the biological info (i.e., GO terms) of around 1000 random pairs to run my permutations. Does anyone know of a tool that allows for that? Thanks in advance!
Is there a tool to do this but with KEGG pathways instead? Thanks.
GeneSCF may be an option: https://github.com/genescf/GeneSCF?tab=readme-ov-file#Step-by-step-instructions
Please be aware that use of KEGG database requires a license for extensive use.