Integration of high-dimensional genomic and phenomic data is challenged with scalability and semantic robustness for intuitive querying. To address these needs, we develop a hybrid ontology and graph database into a seamless datastore that we have named an ontolograph. The ontolograph leverages the best features of ontologies and graph databases.

James Chen, Arka Pattanayak, Chaitanya Shivade

An open source ISA software suite and an extensible hierarchical data structure implemented by a growing number of international public resources. It caters to data as diverse as stem cell, toxicogenomics, environmental gene surveys, microbial diversity studies, and a variety of metabolomics and metagenomics-based studies. But it maintains cross-domain compatibility in the way the experimental context is described.

International collaborative effort