Predicting the future of any scientific discipline is almost impossible, especially for one as young as bioinformatics, but in my view the future of biology will increasingly be shaped by the interplay of bioinformatics and ‘classical’ biology. Currently, the field is undergoing an enormous expansion, as witnessed by the astonishing increase in the number of advertisements for bioinformatics personnel during the past year.
Bioinformatics is an interesting combination of biology and computational sciences, which help scientists and researchers to do more biological experiments to improve the life of living being. Gene expression is fundamental biological basics of cell biology. It is also responsible for genetic as well as physical or biochemical characteristics of an organism.
The study of gene expression analysis helps to predict resultant protein product, in identifying abnormal functioning of cells which may responsible for various diseases, and in designing new drugs. For analysis purpose, DNA Microarray is an important tool as number of genes can simultaneously be observed.
The output of DNA Microarray is vast databases which need to be processed by computation tools to take out biological significance. Computation tools include various algorithms of data mining, pattern recognition, support vector machines etc. Vast literature is available which demonstrate different algorithms and their result for analysis purpose.
The evolution of bioinformatics, which started with sequence analysis and has led to high-throughput whole genome or transcriptome annotation today, is now going to be directed towards recently emerging areas of integrative and translational genomics, and ultimately personalized medicine. Therefore considerable efforts are required to provide the necessary infrastructure for high-performance computing, sophisticated algorithms, advanced data management capabilities, and-most importantly-well trained and educated personnel to design, maintain and use these environments.
This edition outlines the most promising trends in bioinformatics, which may play a major role in the pursuit of future biological discoveries and medical applications.
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