Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes.

ABSTRACT: While the continuing decline in genotyping and sequencing costs has largely benefited plant research, some key species for meeting the challenges of agriculture remain mostly understudied. As a result, heterogeneous datasets for different traits are available for a significant number of these species. As gene structures and functions are to some extent conserved through evolution, comparative genomics can be used to transfer available knowledge from one species to another. However, such a translational research approach is complex due to the multiplicity of data sources and the non-harmonized description of the data. Here, we provide two pipelines, referred to as structural and functional pipelines, to create a framework for a NoSQL graph-database (Neo4j) to integrate and query heterogeneo

SUBMITTER: Imbert B 

PROVIDER: S-EPMC10435283 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature