Introduction to the Experimental Model Schema

Model organisms offer the opportunity to perform system-level investigations of the effects of genetic variants, environmental exposures, or candidate therapeutic strategies on physiological and pathophysiological -omics networks in multiple tissues in a way that would be impossible in human studies (Lloyd et al., 2016). Deep modeling of model organism resources, for many of which multi-omics and experimental interventional data are available will allow us to simultaneously model phenotypic, variation, and genomic functional (RNA-seq, scRNA, ATAC-seq, etc.) data.

The main goal of the Experimental Model Schema is to create a semantic framework for modeling the experimental data (genetics, genomics, experimental paramenters, phenotypic features, measurements) for experiments on model organisms in a way that will be compatible with the Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema.