Plant Trait Ontology
How to cite this record FAIRsharing.org: TO; Plant Trait Ontology; DOI: https://doi.org/10.25504/FAIRsharing.w69t6r; Last edited: Feb. 22, 2018, 2:17 p.m.; Last accessed: Nov 19 2018 6:32 p.m.
Record updated: May 11, 2017, 10:52 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.w69t6r' by 'The FAIRsharing Team' at 11:31, 04 May 2017 (approved): 'bioportal_abbreviation' has been modified: Before: PTO After: PTO Domain list has changed: Previous values: Phenotype|information content entity|http://ontology.neuinfo.org/NIF/DigitalEntities/NIF-Investigation.owl#birnlex_2087 Trait|| New values: Phenotype|information content entity|http://ontology.neuinfo.org/NIF/DigitalEntities/NIF-Investigation.owl#birnlex_2087 Trait|| Life Science|domain|
Edits to 'https://fairsharing.org/FAIRsharing.w69t6r' by 'cooperl' at 18:26, 03 May 2017 (approved): 'homepage' has been modified: Before: http://purl.bioontology.org/ontology/TO After: http://browser.planteome.org/amigo
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No syntax standards defined
No identifier schema standards defined
Gramene's purpose is to provide added value to data sets available within the public sector, which will facilitate researchers' ability to understand the grass genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other grass species.
The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.
Genome Database for Rosaceae
The Genome Database for Rosaceae (GDR) is a curated and integrated web-based relational database providing centralized access to Rosaceae genomics and genetics data and analysis tools to facilitate cross-species utilization of data.
Manually Curated Database of Rice Proteins
‘Manually Curated Database of Rice Proteins’ (MCDRP) is a unique manually curated database based on published experimental data. Currently, the database has data for over 1800 rice proteins curated from > 4000 different experiments of over 400 research articles. Since every aspect of the experiment such as gene name, plant type, tissue and developmental stage has been digitized, experimental data can be rapidly accessed and integrated.
The Triticeae Toolbox
The Triticeae Toolbox (T3) is a repository for public wheat data generated by the Wheat Coordinated Agricultural Project (Wheat CAP). Funding is provided by the National Institute for Food and Agriculture (NIFA) and the United States Department of Agriculture (USDA). The current project is funded through NIFA's International Wheat Yield Partnership (IWYP) and part of the Agriculture and Food Research Initiative (AFRI).
A resource providing data on bioentities and their associated ontology terms for Plant Biology. The database provides access to ontology-based annotations of genes, phenotypes and germplasms from about 90 plant species. A number of internal and external ontologies are used to annotate the biological data available from this resource.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
Brassica Information Portal
The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.
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