DISCRIMINATION OF PATHOGENIC SPECIES USING OLIGONUCLEOTIDE FREQUENCIES OF BARCODING

Abstract

Now days, molecular taxonomy has become a more targeted tool to classify enormous diversity of the organisms present on earth. As a part of molecular taxonomy DNA based methods especially DNA bar coding serves as a more precise tool for identification and subsequent targeted techniques. The genuses of worms which are chosen are the popular organisms of various human and animal diseases. Currently, only physiological mode of diagnoses is available to detect the type of infection. Our proposed technique works on knowledge based methods of diagnosis where the basis of diagnosis is taken as the whole genome of the organism. The characteristic of this sequence based method is based on the nucleotide indices and DNA bar coding techniques. This technique will help in a more precise and rapid diagnosis. This approach has been extended to other pathogenic organisms for accurate diagnosis and personalized treatment measures. The analytical tool has been developed in JAVA for better user interface and ease of use by researchers. Currently the tool is in offline standalone format but it can also be made an online tool hosted by a server with very minor changes.