NetAnalyzer is a useful network analysis tool developed in Ruby that can 1) analyse any type of unweighted network, regardless of the number of layers, 2) calculate the relationship between different layers, using various association indices (Jaccard, Simpson, PCC, geometric, cosine and hypergeometric) and 3) validate the results

PETS suite includes three different tools. CohortAnalyzer performs the calculation of several statistics that gives an overview of a cohort of patients to analyse. Reg2Phen uses associations between pathological phenotypes and regions of the genome (these associations can be calculated from the cohort of patients if they include genotypic & phenotypic information using NetAnalyzer, another Ruby gem) to find, for a given genomic region, which pathological phenotypes have been associated with that region. The third tool, Phen2Reg, is a predictor that using the same associations as Reg2Phen, predicts which genomic regions can be the cause of a list of pathological phenotypes observed in a patient.

This gem allows to perform ontology based operations and calculation of Semantic similarity and information coefficient using different implementations.