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| | Tutorial on Graph Data Management for Biology |
 | | This tutorial introduce students to graph data management technology for biological applications, with an emphasis on applications to biopathways data, i.e., metabolic pathways, signal transduction pathways, and genetic regulatory networks. |
 | | The tutorial will cover graph data models, graph queries, graph query languages, implementation strategies, history of graph data management systems, examples of current biopathways database systems, comparison to other types of database management systems such as relational, logic and object oriented database systems, and possibly a brief mention of the potential role graph grammars. |
 | | The intended audience is for graduate students, researchers and practicioners in bioinformatics, data management, and graph algorithms, and computer-savvy biologists interested in data management of graph-based biological data: biopathways data, protein interactions networks, chemical structure graphs, phylogenetic trees, etc. |
| www.iscb.org /ismb2004/tutorials/olkenATlbl.gov_46.htm (657 words) |
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