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| Zuoshuang Xiang; Yongqun He. |
| OntoFox ("http://ontofox.hegroup.org/":http://ontofox.hegroup.org/) is a web server that facilitates ontology development by automatically fetching ontology terms and their annotations from existing ontologies and saving the results in importable RDF/OWL format. OntoFox is developed based on the MIREOT principle. Currently OntoFox can fetch ontology annotations from >10 existing ontologies. OntoFox provides an efficient approach to promote ontology sharing and interoperability. |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3528/version/1 |
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| Yongqun He; Lindsay Cowell; Alexander D. Diehl; Harry Mobley; Bjoern Peters; Alan Ruttenberg; Richard H. Scheuermann; Ryan R. Brinkman; Melanie Courtot; Chris Mungall; Zuoshuang Xiang; Fang Chen; Thomas Todd; Lesley Colby; Howard Rush; Trish Whetzel; Mark A. Musen; Brian D. Athey; Gilbert S. Omenn; Barry Smith. |
| Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions, study of tissue and whole body responses, and extensive epidemiological modeling. Although many data resources are available to meet different aspects of vaccine needs, it remains a challenge how we are to standardize vaccine annotation, integrate data about varied vaccine types and resources, and support advanced vaccine data analysis and inference. To address these problems, the community-based Vaccine Ontology (VO,... |
| Tipo: Poster |
Palavras-chave: Biotechnology; Immunology; Microbiology; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3552/version/1 |
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| Zuoshuang Xiang; Yongqun He. |
| PubMed articles are annotated using the Medical Subject Headings (MeSH) to increase search efficiency. However, MeSH contains limited information on many biomedical domains (e.g., vaccine). Biomedical ontologies may be used to improve PubMed searching capability. This study demonstrates that Vaccine Ontology (VO) can be used to significantly improve PubMed searching efficacy in the vaccine domain. The recall and precision of the ontology-based literature mining approach are analyzed and discussed. |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3491/version/1 |
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