Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24302
Title: Comparative Analysis of Bioinformatics Tools Used in HIV-1 Studies
Authors: Kareski, Daniel
Ackovska, Nevena 
Keywords: HIV-1, phylogenetic trees, sequence, alignment, MEGA, pol gene
Issue Date: 2013
Publisher: Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia
Conference: The 10th Conference for Informatics and Information Technology (CIIT 2013)
Abstract: The HIV-1 virus is one of most studied viruses because of the incredible ability to morph its genetic structure. Sequencing the virus and generating phylogenetic trees gives us the ability to recognise the evolutionary changes of the virus and possibly help in finding a cure. Bioinformatics offers great choice of tools that are used in the process of generating phylogenetic trees. Different factors contribute in the usage of one tool over another and in order to compare phylogenetic quality of a tree we use the bootstrapping method. In this paper HIV-1 bioinformatics tools used in studies conducted in the Balkan Peninsula are presented, and comparative analysis of those tools is elaborated. The tools utilised in these studies are used in processing random data. The results of their usage is also presented.
URI: http://hdl.handle.net/20.500.12188/24302
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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