RESEARCH ARTICLE


GlycomicsDB - A Data Integration Platform for Glycans and their Strucutres



Mahesh Visvanathan*, 1, Sasidhar R Siddam1, In-Hee Lee1, Gerald H Lushington1, George R Bousfield2
1 Bioinformatics Core Facility, University of Kansas, Lawrence, KS 66047, USA
2 Department of Biological Sciences, Wichita State University, Wichita, KS 67260, USA

Article Information


Identifiers and Pagination:

Year: 2011
Volume: 5
First Page: 9
Last Page: 16
Publisher Id: TOMINFOJ-5-9
DOI: 10.2174/1874431101105010009

Article History:

Received Date: 1/9/2010
Revision Received Date: 11/3/2011
Acceptance Date: 14/3/2011
Electronic publication date: 19/4/2011
Collection year: 2011

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© Visvanathan et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Bioinformatics Core Facility, University of Kansas, Lawrence, KS 66047, USA; Tel/Fax: 785-864-337; E-mail: mvisvanathan@ku.edu


Abstract

Glycomics is a discipline of biology that deals with the structure and function of glycans (or carbohydrates). Analytical techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) are having a significant impact on the field of glycomics. However, effective progress in glycomics research requires collaboration between laboratories to share experimental data, structural information of glycans, and simulation results. Herein we report the development of a web-based data management system that can incorporate large volumes of data from disparate sources and organize them into a uniform format for users to store and access. This system enables participating laboratories to set up a shared data repository which members of interdisciplinary teams can access. The system is able to manage and share raw MS data and structural information of glycans.

The database is available at http://www.glycomics.bcf.ku.edu

Keywords: Functional glycomics, web-based data management system, mass spectrometry data, glycan structure.