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Data Mining for Bioinformatics— Systems Biology

  • T.V. Prasad
  • S.I. Ahson

Abstract

Biology, like many other sciences, changes when technology brings in new tools that extend the scope of inquiry. The invention of the optical microscope in late 1600 brought an entirely new vista to biology when cellular structures could be more clearly seen by scientists. Much more modern and recent electron microscope developed in the 60’s enhanced the visualization of cells considerably. The application of computing to biological problems has created yet another new opportunity for the biologists of the 21st century. As computers continue to change the society at large, there is not doubt that several years of development in databases, software for data analysis, computational algorithms, computer generated visualization, use of computers to determine structures of complex bio-molecules, computational simulation of ecosystem, analysis of evolutionary pathways and many more computational methods have brought several new dimensions to biology. The technological revolution, from an ordinary computer to high-performance/grid computing, the processes have further automated, and led to flooding of data which cannot be handled properly, due to lack of proper standards at proper time. Billions of records are being pushed by the researchers and scientists into the data repositories across the world.

Keywords

System Biology Markup Language System Biology Markup Language Model Gulatory Network Monte Carlo Simulation Tool Finite Linear State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Capital Publishing Company 2009

Authors and Affiliations

  • T.V. Prasad
    • 1
  • S.I. Ahson
    • 2
  1. 1.Dept. of Computer Science & EngineeringLingaya’s Institute of Management & TechnologyFaridabad
  2. 2.Department of Computer ScienceJamia Millia IslamiaNew Delhi

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