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Agent interaction for bioinformatics data management
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Bryson, K., Luck, Michael (Michael M.), Joy, Mike and Jones, D. T. (2001) Agent interaction for bioinformatics data management. Applied Artificial Intelligence, Volume 15 (Number 10). pp. 917-947. doi:10.1080/088395101753242688 ISSN 0883-9514.
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Official URL: http://dx.doi.org/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 agent-based approach. In this paper, we introduce GeneWeaver, a multi-agent system for bio-informatics, 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: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Bioinformatics, Computational biology | ||||
Journal or Publication Title: | Applied Artificial Intelligence | ||||
Publisher: | Taylor & Francis Inc. | ||||
ISSN: | 0883-9514 | ||||
Official Date: | 2001 | ||||
Dates: |
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Volume: | Volume 15 | ||||
Number: | Number 10 | ||||
Number of Pages: | 31 | ||||
Page Range: | pp. 917-947 | ||||
DOI: | 10.1080/088395101753242688 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 6 December 2015 | ||||
Date of first compliant Open Access: | 6 December 2015 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC) |
Data sourced from Thomson Reuters' Web of Knowledge
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