Agent interaction for bioinformatics data management

Bryson, K. , Luck, M., Joy, M. and Jones, D.T. (2001) Agent interaction for bioinformatics data management. Applied Artificial Intelligence, 15(10), pp. 917-947. (doi: 10.1080/088395101753242688)

Abstract

As genome projects produce increasingly large quantities of sequence data, fast and reliable sequence analysis methods are required. Basic methods for comparing pairs of sequences or detecting patterns are well-developed, and now the key problem in analyzing this genomic data is how to integrate the software and primary databases in a flexible and robust way. The wide range of available programs conform to very different input, output, and processing requirements, typically with little consideration given to issues of integration. Key to addressing these issues appropriately is not to consider them as a result of the biological domain, but instead as an information processing problem that suggests nothing as much as an agentbased approach. In this paper, we introduce GeneWeaver, a multi-agent system for bioinformatics, and describe in detail the agent interactions which allow the integration and management of analysis methods and data. The system does not offer new methods but instead manages existing databases and analysis tools in an effective and flexible way, and facilitates easy and dynamic growth.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bryson, Dr Kevin
• Authors: Bryson, K., Luck, M., Joy, M., and Jones, D.T.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Applied Artificial Intelligence
• Publisher: Taylor and Francis
• ISSN: 0883-9514
• ISSN (Online): 1087-6545

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