The seminars take place on the Montpellier Institut Agro/INRAE Campus of La Gaillarde (2, place P. Viala Montpellier)

Thusday june 12 14h, Amphi 206

Multi-omic data integration and knowledge extraction in plant science

Pierre Larmande
, IRD, UMR DIADE

Understanding genotype-phenotype relationships is one of the most important research areas in agronomy. New challenges involve elucidating the relationships among various molecular components responsible for phenome expression. These challenges can only be addressed effectively by integrating information across multiple biological scales into a global model through a systemic approach, thus facilitating a comprehensive understanding of the true functioning of biological systems. Recent high-throughput analysis technologies can only partially capture this complexity. My research project aligns with these reflections, addressing the following issue: how to structure and manage the complexity of biological data to extract meaningful knowledge capable of identifying molecular mechanisms controlling plant phenotype expression. We hypothesize that creating data-driven knowledge graphs will facilitate the formulation of research hypotheses linking genotype to phenotype. Using rice as a model, the aim will be to build molecular interaction networks from scattered data to identify key genes for plant improvement. Various approaches will be leveraged regarding data integration, knowledge enrichment, and the design of knowledge graphs.
Contact : Sandra Cortijo, équipe Sirene