Titlebook: Data Integration in the Life Sciences; 4th International Wo Sarah Cohen-Boulakia,Val Tannen Conference proceedings 2007 Springer-Verlag Ber

Geyser

Instance-Based Matching of Large Life Science Ontologiesegories. We perform an extensive experimental evaluation to use protein associations for different species to match between subontologies of the Gene Ontology and OMIM. We also provide a comparison with metadata-based ontology matching.

Crater

要控制

farewell

冰河期

有害

放纵

Wagner Syndrome and Stickler Syndromethe systems applied to real biological problems, we describe two complimentary software frameworks that address this problem in a principled manner; .Grid Taverna, a workflow design and enactment environment enabling coherent experiments to be built, and UTOPIA, a flexible visualisation system to aid in examining experimental results.

设想

Accelerating Disease Gene Identification Through Integrated SNP Data Analysispublic sources, designed to support various experimental ranking models for SNPs. By prioritizing SNPs within large regions of the genome, scientists are able to rapidly narrow their search for candidate genes. In the paper we describe the ranking models, the data integration architecture, and preliminary experimental results.

AVID

https://doi.org/10.1007/978-1-4939-1432-6. Furthermore, distributed data collection efforts require coordination and integration of the heterogeneous data resources. In this talk, I first introduce the general background of the phylogenetic estimation problem followed by an introduction to the associated data modeling, data integration, and workflow challenges.

谈判

https://doi.org/10.1007/978-3-319-18194-3 data storage. In this paper, we study the requirements and report the architectural design of a web application, code named SWAMI, which aims at integrating a rich tool set and a variety of biological databases. The suggested architecture is highly scalable in terms of adding databases and new manipulation tools.