AgroLD: A Knowledge Graph for the Plant Sciences

Recent advances in sequencing technologies and high-throughput phenotyping have revolutionized the analysis field of plant sciences. However, there is an urgent need to effectively integrate assimilate complementary information understand biological system its entirety. We developed AgroLD, a knowledge graph that exploits Semantic Web on species this way facilitate formulation validation new scientific hypotheses. AgroLD contains around 900M triples created by annotating integrating more than 100 datasets coming from 15 data sources. Our objective offer domain specific platform answer complex sciences questions related implication genes in, for instance, disease resistance or adaptative responses climate change. In paper, we present results project, which focused genomics, proteomics phenomics. pipeline lifting data, open source tools these purposes, as well web application allowing explore data.