Application of Genetic Algorithm in Various Bioinformatics Problems
Author(s):
Subhendu Bhusan Rout, Sasmita Mishra, Dillip Kumar Swain
Keywords:
Bioinformatics, Swarm Optimization, ANN, Genetic Algorithm, Protein Structure Prediction, Gene Mapping
Abstract
Genetic Algorithm is one of most popular soft computing technique in the field of Bioinformatics. There are so many soft computing techniques like Artificial Neural Network, Fuzzy Logic, Swarm Optimization, Genetic Algorithm etc. These techniques are very much use full in the format of processing of huge amount of data. These soft computing techniques are having several; applications in the field of drug design and medicine research. Though there are a large number of hard computing techniques in this regard still in these days as these bioinformatics data or genomic data are folded in to several times so soft computing techniques are very popular. There are many task of bioinformatics like protein structure prediction, gene mapping, DNA-RNA alignment etc. These problems can be easily solved by using soft computing techniques for which soft computing techniques are becoming very popular in the recent days. Genetic Algorithm which is one of the most popular techniques of bioinformatics has several applications for these bioinformatics problems. In this paper we have discussed various implementation and research works using genetic algorithm. We have also proposed a technique for protein structure prediction using genetic algorithm.
Article Details
Unique Paper ID: 145304

Publication Volume & Issue: Volume 4, Issue 9

Page(s): 69 - 75
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