Autor:
Venkatesan, A.
Tagny Ngompe, G.
El Hassouni, N.
Chentli, I.
Guignon, V.
Jonquet, C.
Ruiz, M.
Larmande, P.
Recent advances in high-throughput technologies have resulted in a tremendous increase in the amount of omics data produced in plant science. This increase, in conjunction with the heterogeneity and variability of the data, presents a major challenge to adopt an integrative research approach. We ...
Enlace original:
https://cgspace.cgiar.org/handle/10568/99412
Venkatesan, A.
,
Tagny Ngompe, G.
,
El Hassouni, N.
,
Chentli, I.
,
Guignon, V.
,
Jonquet, C.
,
Ruiz, M.
,
Larmande, P.
,
[Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy]
,
Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy
