TRIMER is a package for building integrated metabolic–regulatory models base on Bayesian network. TRIMER can be used for knockout phenotype prediction and knock flux prediction.

Code and data for the analysis of TF-binding sites positional entropy in phage genomes, used in Mascolo et al. (2022)

Python second-order approximation to the PromoterHunter code