Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools

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.

Authors and Affiliations

Rashmi Rameshwari , Dr. T. V. Prasad

Keywords

Related Articles

Arabic Chatbots: A Survey

A Chatbot is a programmed entity that handles human-like conversations between an artificial agent and humans. This conversation has attracted the attention of researchers who are interested in the interaction between hu...

A New Algorithm to Represent Texture Images

In recent times the spatial autoregressive models have been extensively used to represent images. In this paper we propose an algorithm to represent and reproduce texture images based on the estimation of spatial autoreg...

Draft dynamic student learning in design and manufacturing of complex shape parts

The contribution deals with the dynamic teaching of students through blended learning and teaching online distance teaching which can be considered nowadays to be a very effective and dynamic education of students. Conte...

An Efficient Image Haze Removal Algorithm based on New Accurate Depth and Light Estimation Algorithm

Single image Dehazing has become a challenging task for a variety of image processing and computer applications. Many attempts have been devised to recover faded colors and improve image contrast. Such methods, however,...

Image Sharpness Metric Based on Algebraic Multi-grid Method

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the ori...

Download PDF file
  • EP ID EP85719
  • DOI -
  • Views 116
  • Downloads 0

How To Cite

Rashmi Rameshwari, Dr. T. V. Prasad (2011). Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools. International Journal of Advanced Computer Science & Applications, 2(5), 29-35. https://europub.co.uk/articles/-A-85719