Different species classifier based on hemoglobin sequences

Abstract

Large-scale analysis studies of genetic sequence data are in progress around the world; one of these studies is to recognize the type of the species that the sequence belongs to. This is very important especially when the source of the sequence is unknown. The complete genome sequence of the hemoglobin provides an excellent basis for studying the clustering of different species. In this paper 13 different species classifier based on hemoglobin sequence has been introduced. Two different classifiers also have been introduced; one of them based on neural network and the other based on extracting 84 pattern feature from the DNA sequence of hemoglobin with the Euclidean distance technique. Both classifiers gave 100% for success recognition of the 13 different species. © 2008 Springer-Verlag.