Fig. 2
From: htsint: a Python library for sequencing pipelines that combines data through gene set generation
Calculating distances. a Represent a specific aspect of the GO (e.g. biological process) as a directed acyclic graph with solid edges corresponding to the is_a and part_of relationships and nodes representing specific ontology terms. b Genes for one or more taxa are added to the network via annotations (dashed edged) and they are used to calculate term-term distances. c The term relationships can be re-drawn as a fully connected graph where each weighted edge corresponds to a pairwise shortest path from (b). The graph is then represented in gene space as a distance matrix for subsequent clustering