Computational Tool for Classification of Dengue Virus

Ishtiaq Ali^1*, Fahad Humayun^1,4, Shumaila Azam^1,3, Anum Munir^1,3, Muhammad Rizwan^1,2, Azhar Mehmood¹ and Muhammad Adnan¹

¹Department of Bioinformatics, Government Postgraduate College, Mandian, Abbottabad, Pakistan

²Department of Bioinformatics, Hazara University, Mansehra, Pakistan

³Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan

⁴Department of Bioinformatics, Government College University, Faisalabad, Pakistan

*Corresponding Author : Ishtiaq Ali
Department of Bioinformatics, Government Postgraduate College, Mandian, Abbottabad, Pakistan
Tel: +92992380154
E-mail: ishtiaqsawal@gmail.com

Received: June 06, 2017 Accepted: October 13, 2017 Published: October 18, 2017

Citation: Ali I, Humayun F, Azam S, Munir A, Rizwan M, et al. (2017) Computational Tool for Classification of Dengue Virus. J Appl Bioinforma Comput Biol 6:3. doi: 10.4172/2329-9533.1000140

Dengue is one of the greatest important mosquito-borne viral sicknesses touching people; with over portion of the total populace living in regions at hazard initially, dengue infection contaminations happened for the most part as pestilences in tropical and subtropical nations There are four distinctive dengue infection (DENV) serotypes that share antigenic affiliations (DENV-1, DENV- 2, DENV-3, and DENV-4) Doctors/Scientists are confronting trouble in the characterization of dengue Virus (DV) through wet labs and accessible programming’s are not particular for this reason. Dengue infection has turned into a noteworthy general medical issue in Pakistan Through the computational approach, noteworthiness of ID in order for genome grouping of DV will turn out to be more productive in clinical and test ways. By methods for calculations it has been viewed as that rate of precision and factual control turn out to be more advantageous for genotyping of dengue Virus. On the premise of results we build up a Tool for the Classification of dengue Virus, the computational approach, importance of recognizable proof in arrangement for genome grouping of DV will turn out to be more effective in clinical and test ways.