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DOI: 10.14569/IJACSA.2011.020505
PDF

Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools

Author 1: Rashmi Rameshwari
Author 2: Dr. T. V. Prasad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 5, 2011.

  • Abstract and Keywords
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Abstract: The analysis and interpretation of relationships between biological molecules is done with the help of networks. Networks are used ubiquitously throughout biology to represent the relationships between genes and gene products. Network models have facilitated a shift from the study of evolutionary conservation between individual gene and gene products towards the study of conservation at the level of pathways and complexes. Recent work has revealed much about chemical reactions inside hundreds of organisms as well as universal characteristics of metabolic networks, which shed light on the evolution of the networks. However, characteristics of individual metabolites have been neglected in this network. The current paper provides an overview of bioinformatics software used in visualization of biological networks using proteomic data, their main functions and limitations of the software.

Keywords: Metabolic network; protein interaction network; visualization tools.

Rashmi Rameshwari and Dr. T. V. Prasad, “Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools” International Journal of Advanced Computer Science and Applications(IJACSA), 2(5), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020505

@article{Rameshwari2011,
title = {Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020505},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020505},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {5},
author = {Rashmi Rameshwari and Dr. T. V. Prasad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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