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	Provedor de dados Nature Precedings (4) Autor Richard H. Scheuermann (4) Alexander D. Diehl (3) Bjoern Peters (3) Alison D. Augustine (2) Anastasia Nijnik (2) Anna Maria Masci (2) Bali Pulendran (2) Christopher J. Mungall (2) Elizabeth S. Gold (2) Judith A. Blake (2) Lindsay G. Cowell (2) Martin S. Zand (2) Penelope A. Morel (2) Q. Alison Yao (2) Terrence F. Meehan (2) Timothy A. Gondré-Lewis (2) Alan Ruttenberg (1) Barry Smith (1) Brian D. Athey (1) Carl Dahlke (1) Mais... Palavra-chave Bioinformatics (4) Immunology (3) Data Standards (2) Biotechnology (1) Microbiology (1) Tipo do documento Presentation (2) Manuscript (1) Poster (1) Ano 2009 (4) País United Kingdom (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última VO: Vaccine Ontology Nature Precedings 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 Hematopoietic Cell Types: Prototype for a Revised Cell Ontology Nature Precedings Alexander D. Diehl; Alison D. Augustine; Judith A. Blake; Lindsay G. Cowell; Elizabeth S. Gold; Timothy A. Gondré-Lewis; Anna Maria Masci; Terrence F. Meehan; Penelope A. Morel; Anastasia Nijnik; Bjoern Peters; Bali Pulendran; Richard H. Scheuermann; Q. Alison Yao; Martin S. Zand; Christopher J. Mungall. The Cell Ontology (CL) aims for the representation of in vivo and in vitro cell types from all of biology. Although the CL is a reference ontology of the OBO Foundry, it requires extensive revision to bring it up to current standards for biomedical ontologies, both in its structure and its coverage of various subfields of biology. A recent workshop sponsored by NIAID on hematopoietic cell types in the CL addressed both issues. The section of the ontology dealing with hematopoietic cells was extensively revised, and plans were set for structuring these cell type terms as cross-products with logical definitions built from relationships to external ontologies, such as the Protein Ontology and the Gene Ontology. The methods and improvement to the CL in... Tipo: Manuscript Palavras-chave: Immunology; Bioinformatics; Data Standards. Ano: 2009 URL: http://precedings.nature.com/documents/3635/version/1 An Ontology-Based Framework for Clinical Research Databases Nature Precedings Richard H. Scheuermann; Megan Kong; Carl Dahlke; David Karp. The Ontology-Based eXtensible data model (OBX) was developed to serve as a framework for the development of a clinical research database in the Immunology Database and Analysis Portal (ImmPort) system. OBX was designed around the logical structure provided by the Basic Formal Ontology (BFO) and the Ontology for Biomedical Investigations (OBI). By using the logical structure provided by these two well-formulated ontologies, we have found that a relatively simple, extensible data model could be developed to represent the relatively complex domain of clinical research. In addition, the common framework provided by the BFO should make it straightforward to utilize OBX database data dictionaries based on reference and application ontologies from the OBO... Tipo: Presentation Palavras-chave: Bioinformatics. Ano: 2009 URL: http://precedings.nature.com/documents/3482/version/1 Hematopoietic Cell Types: Prototype for a Revised Cell Ontology Nature Precedings Alexander D. Diehl; Alison D. Augustine; Judith A. Blake; Lindsay G. Cowell; Elizabeth S. Gold; Timothy A. Gondré-Lewis; Anna Maria Masci; Terrence F. Meehan; Penelope A. Morel; Anastasia Nijnik; Bjoern Peters; Bali Pulendran; Richard H. Scheuermann; Q. Alison Yao; Martin S. Zand; Christopher J. Mungall. 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; Data Standards. Ano: 2009 URL: http://precedings.nature.com/documents/3543/version/2 Registros recuperados: 4 Primeira ... 1 ... Última

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