Larmande Pierre, Tagny Ngompe G., Venkatesan A., Ruiz M. (2022). AgroLD : a knowledge graph database for plant functional genomics. In :
Edwards D. (ed.). Plant bioinformatics : methods and protocols. New York : Springer - Humana Press, 2443, 527-540. (Methods in Molecular Biology). ISBN 978-1-07-162066-3. ISSN 1064-3745.
Titre du document
AgroLD : a knowledge graph database for plant functional genomics
Année de publication
2022
Type de document
Partie d'ouvrage
Auteurs
Larmande Pierre, Tagny Ngompe G., Venkatesan A., Ruiz M.
In
Edwards D. (ed.), Plant bioinformatics : methods and protocols
Source
New York : Springer - Humana Press, 2022,
527-540 (Methods in Molecular Biology). ISBN 978-1-07-162066-3 ISSN 1064-3745
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.
Plan de classement
Amélioration génétique [076AMEPLA04]
;
Applications diverses [122APPLIC]
