Titlebook: Data Integration in the Life Sciences; 5th International Wo Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide Conference proceedings 2008

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James A. Sweet,Larry L. Bumpass the integration of genomic data based on Gene Ontology annotations, the cancer Biomedical Informatics Grid (caBIG) project, and semantic mashups created by the Semantic Web for Health Care and Life Sciences community.

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M. Yamashita,H. Ishihara,T. Oyamaprehensive database schema models many different bioinformatics datatypes. A set of loader tools permits loading of public bioinformatics databases, and of standard bioinformatics formats, into that database schema. Thus, multiple databases can be queried together within a single common schema. The

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Ricardo A. Madeira,Marcos A. Rangelers (URI). To maximize the expressiveness and robustness of an ontological system in the web, each ontology should be ideally designed for a confined conceptual domain and deployed with minimal dependencies upon others. Through a retrospective analysis of the existing design of BioPAX ontologies, we

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Closing the Achievement Gap in Singapore describe a new framework for protein entity resolution, called PERF, which deduplicates protein . using a wide range of protein attributes. A . refers to any recorded information about a protein, whether it is derived from a database, a high-throughput study, or literature text mining, among others

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Resolving Product Configuration Conflictsidentify candidate genes, gene expression profiles in different cell conditions, as well as functional annotation of putative gene products. Although EST analysis tools are publicly available there is still a lack of comprehensive data analysis and management programs. This work presents ., an integ