The Planteome project

Laurel Cooper, Austin Meier, Justin L. Elser, Justin Preece, Xu Xu, Ryan S. Kitchen, Botong Qu, Eugene Zhang, Sinisa Todorovic, Pankaj Jaiswal, Barry Smith, Marie Angélique Laporte, Elizabeth Arnaud, Georgios Gkoutos, Seth Carbon, Chris Mungall, John Doonan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICBO-BioCreative 2016 Food, Nutrition, Health and Environment for the 9 Billion
Subtitle of host publicationProceedings of the Joint International Conference on Biological Ontology and BioCreative
EditorsPankaj Jaiswal, Robert Hoehndorf, Cecilia Arighi, Austin Meier
PublisherCEUR
Volume1747
Publication statusPublished - 30 Nov 2016
EventInternational Conference on Biological Ontology, 7th: ICBO2016 - Oregon State University, Corvallis, OR, United States
Duration: 1 Aug 20164 Aug 2016

Publication series

NameCEUR Workshop Proceedings
Volume1747
ISSN (Print)1613-0073

Conference

ConferenceInternational Conference on Biological Ontology, 7th
Country/TerritoryUnited States
CityCorvallis, OR
Period1/08/164/08/16

Keywords

  • Data integration
  • Ontology
  • Plants
  • Semantic
  • Traits phenotype

ASJC Scopus subject areas

  • General Computer Science

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