%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Larmande, Pierre
%A Tagny Ngompe, G.
%A Venkatesan, A.
%A Ruiz, M.
%T AgroLD : a knowledge graph database for plant functional genomics
%B Plant bioinformatics : methods and protocols
%C New York
%D 2022
%E Edwards, D.
%L fdi:010084869
%G ENG
%I Springer - Humana Press
%@ 978-1-07-162066-3
%P 527-540
%R 10.1007/978-1-0716-2067-0_28
%U https://www.documentation.ird.fr/hor/fdi:010084869
%> https://www.documentation.ird.fr/intranet/publi/2022-08/010084869.pdf
%V 2443
%W Horizon (IRD)
%X Recent advances in high-throughput technologies have resulted in tremendous increase in the amount of data in the agronomic domain. There is an urgent need to effectively integrate complementary information to understand the biological system in its entirety. We have developed AgroLD, a knowledge graph that exploits the Semantic Web technology and some of the relevant standard domain ontologies, to integrate information on plant species and in this way facilitating the formulation of new scientific hypotheses. This chapter outlines some integration results of the project, which initially focused on genomics, proteomics and phenomics.
%S Methods in Molecular Biology
%$ 122APPLIC ; 076AMEPLA04