@incollection{fdi:010084869,
  title = {{A}gro{LD} : a knowledge graph database for plant functional genomics},
  author = {{L}armande, {P}ierre and {T}agny {N}gompe, {G}. and {V}enkatesan, {A}. and {R}uiz, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent advances in high-throughput technologies have resulted in tremendous increase in the amount of data in the agronomic domain. {T}here is an urgent need to effectively integrate complementary information to understand the biological system in its entirety. {W}e have developed {A}gro{LD}, a knowledge graph that exploits the {S}emantic {W}eb 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. {T}his chapter outlines some integration results of the project, which initially focused on genomics, proteomics and phenomics.},
  keywords = {},
  booktitle = {{P}lant bioinformatics : methods and protocols},
  volume = {2443},
  numero = {},
  pages = {527--540},
  address = {{N}ew {Y}ork},
  publisher = {{S}pringer - {H}umana {P}ress},
  series = {{M}ethods in {M}olecular {B}iology},
  year = {2022},
  DOI = {10.1007/978-1-0716-2067-0_28},
  ISBN = {978-1-07-162066-3},
  ISSN = {1064-3745},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084869},
}