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Glycomics Data Mining

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Author(s): V Srinivasa Rao | S K Das | E Kusuma Umari

Journal: Journal of Computer Science & Systems Biology
ISSN 0974-7230

Volume: 02;
Issue: 05;
Start page: 262;
Date: 2009;
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ABSTRACT
The amount of glycomics data being generated is rapidly increasing as a result of improvements in analytical and computational methods. Correlation and analysis of this large, distributed data set requires an extensible and flexible representational standard that is also ‘understood’ by a wide range of software applications. An XML-baseddata representation standard that faithfully captures essentialstructural details of a glycan moiety along with additional information (such as data provenance) to aid the interpretation and usage of glycan data, will facilitate the exchange of glycomics data across the scientific community. We reviewed importance of data warehouse, showing a method of applying data mining techniques usingXML, and some of the data issues, analysis problems, and results.
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