• Adamu Yusha’u
• Vijendra Singh Rawat
• Rinku Mathur
• M S. Mahmud

In this paper, we developed an alignment-free method for examining the similarity and evolutionary divergence of Ebola virus sequences taken from five African countries for faster sequence analysis. The notion of "similarity" as described here is essentially a generalization of the equivalence notion. The method utilized the use of math-lab programming to generate the number of frequencies of occurrence of all nucleotide base from each DNA sequences and then obtain a dissimilarity matrix that shows; the smaller is the element, the more similar the sequences of Ebola viruses are. The dissimilarities obtained are then converted to similarity matrix so using a mathematical concept of fuzzy transitive relation, at last the transitive closure has been used to get phylogenetic tree along with Ebola viruses.

Ebola viruses, Phylogenetic tree, DNA sequences, Euclidean distance, Fuzzy dissimilarity matrix.

"An alignment free mathematical model based on fuzzy dissimilarity metric to infer phylogenetic tree among Ebola viruses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.d134-d145, March-2023, Available :http://www.jetir.org/papers/JETIR2303315.pdf

"An alignment free mathematical model based on fuzzy dissimilarity metric to infer phylogenetic tree among Ebola viruses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppd134-d145, March-2023, Available at : http://www.jetir.org/papers/JETIR2303315.pdf