Development of phylogenetic tree based on Kimura's Method

Abstract

The research in bioinformatics has accumulated large amount of data. The biological data is available in different formats and is comparatively more complex. The term bioinformatics is related to study of bio-molecules information. The informatics techniques are applied to understand and organize the information associated with these molecules. Substitutional of an alignment is one of the applications of the bioinformatics. Multiple Sequence Alignment is used to align the biological sequences along a column. As the process generates distances of multiple alignments among the pairs of different species, phylogenetic tree is being formulated. Multiple sequence alignment arranges the sequences in such a way that evolutionarily equivalent positions across all sequences are matched. Alignment of Substitutions made into two categories: Jukes Cantor Method and Kimura's Method. The Tree is being formulated from different tree building methods so as to retrieve an optimal tree. These tree building methods are divided into two categories: UPGMA method and NJ method. Web based format such as FASTA is used to organize the sequences of data and using these sequences, distances are obtained and these distances are helpful to construct an optimal tree.