pytc allows complicated global fits to Isothermal Titration Calorimetry data. Features include an intuitive API, Bayesian and maximum-likelihood analyses, and the ability to simply define new thermodynamic models.
Software for studying statistical, high-order epistasis in genotype-phenotype maps. You can use this library to:
Decompose genotype-phenotype maps into high-order epistatic interactions
Find nonlinear scales in the genotype-phenotype map
Calculate the contributions of different epistatic orders
Estimate the uncertainty in the epistatic coefficients
HOPS (Hunches from Oregon about Peptide Specificity) takes high-throughput peptide scores (for example, enrichment values from a phage display experiment) and uses machine learning to train predictive models from the calculated physio-chemical properties of each peptide. It is currently under heavy development.