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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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| Alexander D. Diehl. |
| The Cell Ontology (CL) is an OBO Foundry candidate ontology intended for the representation of cell types from all of biology. A recent workshop sponsored by NIAID on hematopoietic cell types in the CL addressed issues of both the content and structure of the CL. The section of the ontology dealing with hematopoietic cells was extensively revised, and plans were made for restructuring these cell type terms as cross-products with logical definitions based on relationships to external ontologies, such as the Protein Ontology and the Gene Ontology. The improvements to the CL in this area represent a paradigm for the future revision of the whole of the CL. |
| Tipo: Presentation |
Palavras-chave: Immunology; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3543/version/1 |
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