Abstract
Advances in ‘omics’ high-throughput technologies have led to a vast amount and quality of available biological data. It has fostered the development of bioinformatics methods to interpret these data. In this regard, characterization of cellular metabolism is a useful task to understand the phenotypic capabilities of an organism. Several in silico approaches have emerged for analysis of metabolic pathways, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analysis. The present article provides the comprehensive survey on existing metabolic pathway analysis methodologies.
Keywords: Elementary flux mode analysis, extreme pathway analysis, flux balance analysis, metabolic pathway modeling.
Current Bioinformatics
Title:A Comprehensive View on Metabolic Pathway Analysis Methodologies
Volume: 9 Issue: 3
Author(s): Namrata Tomar and Rajat K. De
Affiliation:
Keywords: Elementary flux mode analysis, extreme pathway analysis, flux balance analysis, metabolic pathway modeling.
Abstract: Advances in ‘omics’ high-throughput technologies have led to a vast amount and quality of available biological data. It has fostered the development of bioinformatics methods to interpret these data. In this regard, characterization of cellular metabolism is a useful task to understand the phenotypic capabilities of an organism. Several in silico approaches have emerged for analysis of metabolic pathways, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analysis. The present article provides the comprehensive survey on existing metabolic pathway analysis methodologies.
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Cite this article as:
Tomar Namrata and De K. Rajat, A Comprehensive View on Metabolic Pathway Analysis Methodologies, Current Bioinformatics 2014; 9 (3) . https://dx.doi.org/10.2174/1574893609666140516005147
DOI https://dx.doi.org/10.2174/1574893609666140516005147 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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