| ISYS: a decentralized, component-based approach to the integration of heterogeneous bioinformatics resources. | |
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MedLine Citation:
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PMID: 11222265 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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MOTIVATION: Heterogeneity of databases and software resources continues to hamper the integration of biological information. Top-down solutions are not feasible for the full-scale problem of integration across biological species and data types. Bottom-up solutions so far have not integrated, in a maximally flexible way, dynamic and interactive graphical-user-interface components with data repositories and analysis tools. RESULTS: We present a component-based approach that relies on a generalized platform for component integration. The platform enables independently-developed components to synchronize their behavior and exchange services, without direct knowledge of one another. An interface-based data model allows the exchange of information with minimal component interdependency. From these interactions an integrated system results, which we call ISYSf1.gif" BORDER="0">. By allowing services to be discovered dynamically based on selected objects, ISYS encourages a kind of exploratory navigation that we believe to be well-suited for applications in genomic research. |
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Authors:
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A Siepel; A Farmer; A Tolopko; M Zhuang; P Mendes; W Beavis; B Sobral |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Bioinformatics (Oxford, England) Volume: 17 ISSN: 1367-4803 ISO Abbreviation: Bioinformatics Publication Date: 2001 Jan |
Date Detail:
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Created Date: 2001-03-06 Completed Date: 2001-05-10 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9808944 Medline TA: Bioinformatics Country: England |
Other Details:
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Languages: eng Pagination: 83-94 Citation Subset: IM |
Affiliation:
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National Center for Genome Resources, 2935 Rodeo Park Drive East, Santa Fe, NM 87505, USA. isys@ncgr.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Arabidopsis
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genetics Computational Biology* Databases, Factual Genome, Plant Quantitative Trait, Heritable Software* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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