Difference between revisions of "PAG 2012 Ontology workshop"
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==Text mining applications: TextPresso== | ==Text mining applications: TextPresso== | ||
Revision as of 22:43, 13 October 2011
Title of workshop: Use of Ontologies for Organizing Plant and Animal Genomics Data
Saturday, January 14, 2012; 10:20 AM to 12:30 PM
Should have talks from people working on ontology applications, rather than ontology development, to show utility.
Procedure: LC should contact potential speakers and ask them to submit an abstract to us and to the organizers.
Workshop Description:
Title: Use of Ontologies to Access Plant and Animal Genomics and Phenomics Data
The Plant Ontology (PO), along with other ontologies, such as the Gene Ontology (GO), is used for the annotation or ‘tagging’ of data: documenting associations between genes, gene products, or sequences and the structures or processes to which they contribute. These annotations facilitate computerized searching and reasoning over large data sets from multiple sources, allowing researchers to address questions in comparative genetics, development, and genomics. The PO is developing new terms and applications for plant phenotypic character descriptions. These terms can be used for multiple applications, including large-scale phenomic screens of crop species, text-mining of legacy or current literature, and systematic or taxonomic descriptions, including descriptions of fossils. Tagging taxonomic data with ontology terms enhances the interoperability of morphological character matrices and provides a bridge between genomic data sets and evolutionary biology. The PO is associating images with many of its terms, which, together with definitions and links to various types of data, make the PO useful for botany educators wanting to teach plant anatomy or morphology, genomics, or other topics.
This workshop will provide an introduction to ontologies and provide some examples how they can be used to find novel insights into the massive amounts of genomics data becoming available.
Suggestions for speakers:
suggestions from POC call 10-4-11:
Text mining applications: TextPresso
Main Page: TextPresso
