BayCo is a python package for building gene co-expression networks from transcriptomic data. Using Bayesian hypothesis testing, BayCo naturally weights inferences by the unique intrinsic properties of each dataset, allowing co-expression inferences to be combined or compared across independent datasets.

A WGCNA pipeline systematically interrogating the Campylobacter resistome through topological network scaling to uncover co-expressed stress-response loci and significant module-trait biological correlations.

This workflow was used to investigate lncRNAs in lupinus and their relationship to infection response.