Title: Identification of unique repeated patterns, location of mutation in DNA finger printing using artificial intelligence technique
Authors: B. Mukunthan; N. Nagaveni
Department of Computer Applications, Karpagam University, Coimbatore 641021, Tamil Nadu, India
Department of Mathematics, Coimbatore Institute of Technology, Coimbatore 641014, Tamil Nadu, India
Abstract: In genetic engineering, conventional techniques and algorithms employed by forensic scientists to assist in identification of individuals on the basis of their respective DNA profiles involves more complex computational steps and mathematical formulae, also the identification of location of mutation in a genomic sequence in laboratories is still an exigent task. This novel approach provides ability to solve the problems that do not have an algorithmic solution and the available solutions are also too complex to be found. The perfect blend made of bioinformatics and neural networks technique results in efficient DNA pattern analysis algorithm with utmost prediction accuracy.
Keywords: adaptive resonance theory; ART; simplified fuzzy ARTMAP; competitive learning; NFPR processor; input generator; preprocessing; separator; discriminator; comparator; DNA profiling; DNA sequencing; pattern identification; unique repeated patterns; mutation location; DNA finger printing; artificial intelligence; bioinformatics; neural networks.
Int. J. of Bioinformatics Research and Applications, 2014 Vol.10, No.2, pp.157 - 176
Available online: 25 Feb 2014