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Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7

A. Sharma1 , R.S. Thakur2 , S. Jaloree3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1154-1157, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.11541157

Online published on May 31, 2019

Copyright © A. Sharma, R.S. Thakur, S. Jaloree . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Sharma, R.S. Thakur, S. Jaloree, “Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1154-1157, 2019.

MLA Style Citation: A. Sharma, R.S. Thakur, S. Jaloree "Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7." International Journal of Computer Sciences and Engineering 7.5 (2019): 1154-1157.

APA Style Citation: A. Sharma, R.S. Thakur, S. Jaloree, (2019). Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7. International Journal of Computer Sciences and Engineering, 7(5), 1154-1157.

BibTex Style Citation:
@article{Sharma_2019,
author = {A. Sharma, R.S. Thakur, S. Jaloree},
title = {Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1154-1157},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4377},
doi = {https://doi.org/10.26438/ijcse/v7i5.11541157}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.11541157}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4377
TI - Phylogenetic Tree Construction of Bacterial Species using Clustering Algorithms In MEGA 7
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sharma, R.S. Thakur, S. Jaloree
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1154-1157
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

A phylogenetic tree is a tree that shows the transformative similarity and dissimilarity among various biological species. The biological species may be human species or bacterial species. The comparative analysis of phylogenetic tree is useful in various areas. In this paper phylogenetic tree is constructed for various bacterial species of Rhizobium by using MEGA7 software. MEGA is molecular evolutionary genetics analysis user friendly software for framing sequence alignments and phylogenetic tree construction. This paper also infer us about the how different algorithms like UPGMA, Neighbour joining are implemented effectively on the bacterial species of Rhizobium.

Key-Words / Index Term

UPGMA,Neighbour joining,Phylogenetic tree

References

[1] J.Rizzo, E.C.Rouchka,”Review of phylogenetic tree construction”,Bioinformatics laboratory technical report series,pp.1-7,2007.
[2] G.Mahapatro,D.Mishra,k.Shaw,S.Mishra, T.Jena,”Phylogenetic tree construction for DNA Sequences using clustering methods”, In the proceedings of 2012, International conference on modeling optimization and computing,
[3] D.V.Chandra shekhar, V.V.J.R.Krishnaiah, Y.S.Babu, “Association of data mining and biolomedical domain:choosing the best algorithm for analysis”, International journal of data mining and emerging technologies, vol.3,issue.1, pp.40-46, 2013.
[4] S Hussain,”Survey on current trends and techniques of data mining research”, Londan journal press, Vol.17, Issue.1 ,2017.
[5] D.Patel, R.Modi, K. Sarvakar, ”A comaritive study of clustering data mining:Techniques and research challenges”, IJLTEMAS, Vol.3, Issue.9,2014.
[6] A.Joshi, R.Kaur, ”A Review:comparative study of various clustering techniques in data mining”, International journal of advanced research in computer science and software enginnering, Vol.3, issue.3, 2013.
[7] K.Tamura, D.Peterson, N.Peterson,G.stecher, M.Nei, S.Kumar, “MEGA 5:Molecular evolutionary genetics using maximum likelihood,evolutionary distance,and maximum parsimony methods”, Mol.Biol.Evol., vol-28, issue-10,pp.2731-2739,2011.
[8] W.P. Hanage, C.Fraser,B.G.Spratt, “Sequences,sequence clusters and bacterial species”, Philosophical transactions of the royal society B”, Vol.361,pp.1917-1927,2006.