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Metabolomics: The Future of Systems Biology | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Review Article

Metabolomics: The Future of Systems Biology

Tushar Nanda1*, Mausumi Das1, Kadambini Tripathy1 and Ravi Teja Y2

1Department of Bioscience and Biotechnology, Fakir Mohan University, Odisha-756020, India

2Department of Biochemistry, Andhra University, Andhra Pradesh- 530003, India

*Corresponding Author:
Tushar Nanda
Department of Bioscience and Biotechnology
FM University, Odisha
E-mail: [email protected]

Received date: April 15, 2011; Accepted date: May 20, 2011; Published date: May 23, 2011

Citation: Nanda T, Das M, Tripathy K, Ravi Teja Y (2011) Metabolomics: The Future of Systems Biology. J Comput Sci Syst Biol S13. doi:10.4172/jcsb.S13-003

Copyright: © 2011 Nanda 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.


The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as `metabolomics’. This review covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. Furthermore we have also outlined the recent developments in elucidating the system-level functions of the bioconstituents of living organisms. Metabolomics has the potential to serve an important role in diagnosis and management of human conditions. As such the purpose of this systematic review is to summarize existing literature on metabolomics and its various techniques in terms of diagnostic accuracies and distinguishing metabolites. This article has also highlighted the novelty of the field of metabolomics with various detection methods. Here metabolomic methodologies are discussed briefly followed by a more detailed review of the use of metabolomics in integrated applications where metabolomics information has been combined with other “omic” data sets (proteomics, transcriptomics) to enable greater understanding of a biological system.


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