2231–4202  (Print)                
2249–9970  (Online)             

JPAST is biannual multidisciplinary journal starting from July 2011. Articles are invited for July 20 issue.
New Applications of Soft Computing in Bioinformatics: A Review – Amit Gaurav, Vivek Kumar and Dr. Darshika Nigam*

New Applications of Soft

Computing in Bioinformatics:

A Review

  Amit Gaurav1, Vivek Kumar2 and Dr. Darshika Nigam3,*

1Galgotias College of Engg. & Tech., Greater Noida (UP)

 2Delhi College of Tech. & Mnagment, Palwal, Haryana

3,*Deptt. of Biochemistry, SLS Dr. B.R. Ambedker University, Agra (UP)


Bioinformatics is a promising and innovative research field. Soft Computing is playing a crucial role as it provides techniques that are especially well suited to obtain results in an efficient way and with a good level of quality. Soft Computing can also be useful to model the imprecision and uncertainty that the Bioinformatics data and problems have. In this paper, we survey the role of different soft computing paradigms, like Fuzzy Sets (FSs), Artificial Neural Networks (ANNs), evolutionary computation, Rough Sets (RSs), and Support Vector Machines (SVMs), biologically inspired algorithm like ant colony system, swarm intelligence and others in bioinformatics systems and problems.  In broader view the present review reveals the major process and functions which are handled by these computing techniques are pattern-recognition and data-mining tasks, clustering, classification, feature selection, and rule generation of Genomic sequence, protein structure, gene expression microarrays, and gene regulatory networks.

Keywords: Bioinformatics, Soft computing paradigm, Fuzzy sets, Artificial neural network, Rough sets, Support vector Machines, Ant colony system.

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