About Bioinformatics


We are now witnessing two technology-driven revolutions, that will transform our world within the next 10 to 20 years. When the modern biotechnology industry took form in 70s and the 80s, the industry relied upon molecular biology techniques for the cloning and isolation of genes and hence forth the mass production of gene-encoded proteins. These efforts were motivated by the utility of such proteins for therapy. This has initiated a scientific revolution driven by genomics and bioinformatics. The field of genomics, however , relies upon bioinformatics, which is management and analysis of biological information stored in databases.


Bioinformatics is a newly emerging interdisciplinary research area which may defined as a interface between biological and computational sciences. The word “bioinformatics” is dereived by combining biology and informatics. It has it’s roots in computational biology , a field that has been driven during the last two decades largely by enormous amounts of nucleiotide sequence data generated and deposited in the public domain databases. It is a science of storing, extracting, organizing, analayzing, interpreting and utilizing information for research and product development. The fundamentals of bioinformatics lie in transforming biological polymers such as nucleic acids and proteins into sequences of digital symbols.

The aims of bioinformatics are three fold

  • To organize of data in a  way that allows researchers to access existing information  and submit new entries as they are produced.

  • To develop tools and resources that aid in data analysis

  • To use these tools to analyse data and interpret results in a biologically meaningful manner.However, these require a strong understanding biology and expertise in computational theory.


     Bioinformatics has diverse applications  in many areas.

  • Sequence Homology analysis : The search for similarities between different biomolecules enables systemic organization of data and identification of  protein homologues.

  • Drug design : Defining genotypes associated with patho-physiological conditions may lead to the identification of potential molecular targets to design drugs.

  • Providing common user friendly platforms : This could help a researcher to identify interesting subject areas for detailed analysis and place new observations in a proper context.

  • Application in medical sciences : If bioinformatics is combined with experimental genomics , a lot of advances could be made to revolutionize the future of health care.


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