Firefly Optimization Algorithm for Inferring Well Phylogenetic Tree

  • Omer Emad Ansayif, Bashar Talib Al-Nuaimi
Keywords: Phylogenetic Tree, genomes, Phylogeny, Firefly optimization algorithm.

Abstract

The evolution theory underpins modern Biology. All new species emerge from an existing species. This results in different species are sharing a common ancestry, as represented in phylogenetic classification.  The common ancestry can explain the similarities between all living organisms, such as general chemistry, cell structure, DNA as the genetic material, and genetic code. The purpose of phylogenetic studies is to analyze the changes that occur in different organisms during the evolution by identifying the relationships between genomic sequences and determining the ancestral sequences and their descendants.  Phylogenetic trees are useful in fields of biology, such as bioinformatics, for a systematic and comparative phylogenetic. Phylogenetic trees are built from molecular data like DNA sequences and protein sequences. This paper proposed Inferring Well Phylogenetic Tree based on Firefly optimization algorithm. The proposed work consists of four main stages: - loading DNA dataset of nine plant family, Evaluation all Genomes in dataset using Boyer Moore Algorithm, Firefly Optimization Algorithm to select the best matching genome for each Plant family, building Neighbor Tree and Unweighted Pair Group Method (UPGM), and finally evaluation performance using bootstrap measurements. The implementation and results of each stage in the proposed system demonstrated that the proposed system has the ability to fast build an Inferring Well Phylogenetic Tree using NJ and UPGM and evaluate the performance of the proposed system based on the bootstrap scale.

Published
2021-09-05
How to Cite
Bashar Talib Al-Nuaimi, O. E. A. (2021). Firefly Optimization Algorithm for Inferring Well Phylogenetic Tree. Design Engineering, 6430-6444. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/4073
Section
Articles