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Biological Databases- Integration of Life Science Data | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Review Article

Biological Databases- Integration of Life Science Data

Nishant Toomula1*, Arun Kumar2, Sathish Kumar D3 and Vijaya Shanti Bheemidi4

1Department of Biotechnology, GITAM Institute of Technology, GITAM University, Visakhapatnam, India

2Department of Biochemistry, GITAM University, Visakhapatnam, India

3Department of Biotechnology, University of Hyderabad, Hyderabad, India

4Department of Biotechnology, Nottingham Trent University, Nottingham, United Kingdom

*Corresponding Author:
Dr. Nishant Toomula
Department of Biotechnology
GITAM Institute of Technology
GITAM University, Visakhapatnam, India
E-mail: [email protected]

Received date: November 02, 2011; Accepted date: December 05, 2011; Published date: December 09, 2011

Citation: Nishant T, Arun Kumar, Sathish Kumar D, Vijaya Shanti B (2011) Biological Databases- Integration of Life Science Data J Comput Sci Syst Biol 4:087-092. doi:10.4172/jcsb.1000081

Copyright: © 2011 Nishant T, 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.


Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in biological information generated by the scientific community. Biological databases are libraries of life sciences information, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analyses. Information contained in biological databases includes gene function, structure, localization, clinical effects of mutations as well as similarities of biological sequences and structures. This article presents information on some popular bioinformatic databases available online, including sequence, phylogenetic, structure and pathway, and microarray databases.


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