@article{68, keywords = {Crops, Agricultural, Data Curation, Databases, Genetic, Gene Expression Regulation, Plant, Gene Ontology, Genome, Plant, Molecular Sequence Annotation, Phenotype, Plants, Software, User-Computer Interface}, author = {Laurel Cooper and Austin Meier and Marie-Angélique Laporte and Justin Elser and Chris Mungall and Brandon Sinn and Dario Cavaliere and Seth Carbon and Nathan Dunn and Barry Smith and Botong Qu and Justin Preece and Eugene Zhang and Sinisa Todorovic and Georgios Gkoutos and John Doonan and Dennis Stevenson and Elizabeth Arnaud and Pankaj Jaiswal}, title = {The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.}, abstract = {The Planteome project (http://www.planteome.org) provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. The Planteome project is developing a plant gene annotation platform; Planteome Noctua, to facilitate community engagement. All the Planteome ontologies are publicly available and are maintained at the Planteome GitHub site (https://github.com/Planteome) for sharing, tracking revisions and new requests. The annotated data are freely accessible from the ontology browser (http://browser.planteome.org/amigo) and our data repository.}, year = {2018}, journal = {Nucleic acids research}, volume = {46}, pages = {D1168-D1180}, month = {2018 01 04}, issn = {1362-4962}, doi = {10.1093/nar/gkx1152}, language = {eng}, }