alexa Glycomics Data Mining | OMICS International
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Review Article

Glycomics Data Mining

V Srinivasa Rao1,*, S K Das2, E Kusuma Umari3

1Professor in Computer Science and Engineeing, Pvp Siddhartha Institute of Technology, Vijayawada-520 007, India, E-mail: [email protected]

2Deparment of Computer Science, Berhampur University, Berhampur, Orissa, India

3Associate Professor in Electronics and Communication Engg, Nova College of Engineering, Jangareddygudem, India

*Corresponding Author:
Dr. V Srinivasa Rao
Professor in Computer Science and Engineeing
Pvp Siddhartha Institute of Technology
Vijayawada-520 007, India
E-mail: [email protected]

Received date: September 17, 2009; Accepted date: October 21, 2009; Published date: October 25, 2009

Citation: Rao VS, Das SK, Umari EK (2009) Glycomics Data Mining. J Comput Sci Syst Biol 2:262-265. doi:10.4172/jcsb.1000040

Copyright: © 2009 Rao VS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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-based data representation standard that faithfully captures essential structural 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 using XML, and some of the data issues, analysis problems, and results.

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