P0323
Planteome: Reference Ontologies and a Platform for Integrative Plant Genomics

Austin Meier , Oregon State University, Corvallis, OR
Laurel Cooper , Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR
Pankaj Jaiswal , Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR
Barry Smith , University at Buffalo, Buffalo, NY
Christopher Mungall , Lawrence Berkeley National Laboratory, Berkeley, CA
Marie-Angélique Laporte , Bioversity International, Montpellier Cedex 5, France
Elizabeth Arnaud , Bioversity International, Montpellier Cedex 5, France
Justin L. Elser , Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR
Justin Preece , Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR
Sinisa Todorovic , Oregon State University, Corvallis, OR
Eugene Zhang , Oregon State University, Corvallis, OR
The Planteome project is a centralized online plant informatics portal which provides semantic integration of widely diverse datasets with the goal of plant improvement. Traditional plant breeding methods for crop improvement may be combined with next-generation analysis methods and automated scoring of traits and phenotypes to develop improved varieties. The Planteome project (www.planteome.org) develops and hosts a suite of reference ontologies for plants associated with a growing corpus of genomics data. Data annotations linking phenotypes and germplasm to genomics resources are achieved by data transformation and mapping species-specific controlled vocabularies to the reference ontologies. Analysis and annotation tools are being developed to facilitate studies of plant traits, phenotypes, diseases, gene function and expression and genetic diversity data across a wide range of plant species. The project database and the online resources provide researchers tools to search and browse and access remotely via APIs for semantic integration in annotation tools and data repositories providing resources for plant biology, breeding, genomics and genetics.