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Optimal Multiple Sequence Alignment

Pankaj Bhanbri1 , O.P. Gupta2

  1. Dept. of CSE, I.K.G. Punjab Technical University, Kapurthala, India.
  2. School of EE and IT, Punjab Agriculture University, Ludhiana, India.

Correspondence should be addressed to: pkbhambri@gmail.com.


Section:Review Paper, Product Type: Isroset-Journal
Vol.3 , Issue.6 , pp.54-60, Jun-2017


Online published on Jun 30, 2017


Copyright © Pankaj Bhanbri, O.P. Gupta . 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: Pankaj Bhanbri, O.P. Gupta, “Optimal Multiple Sequence Alignment,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.3, Issue.6, pp.54-60, 2017.

MLA Style Citation: Pankaj Bhanbri, O.P. Gupta "Optimal Multiple Sequence Alignment." International Journal of Scientific Research in Multidisciplinary Studies 3.6 (2017): 54-60.

APA Style Citation: Pankaj Bhanbri, O.P. Gupta, (2017). Optimal Multiple Sequence Alignment. International Journal of Scientific Research in Multidisciplinary Studies , 3(6), 54-60.

BibTex Style Citation:
@article{Bhanbri_2017,
author = {Pankaj Bhanbri, O.P. Gupta},
title = {Optimal Multiple Sequence Alignment},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {6 2017},
volume = {3},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {54-60},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=382},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=382
TI - Optimal Multiple Sequence Alignment
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Pankaj Bhanbri, O.P. Gupta
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 54-60
IS - 6
VL - 3
SN - 2347-2693
ER -

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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. Bioinformatics offers different knowledge discovery concepts for molecular biology and has many practical applications. DNA sequence 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.

Key-Words / Index Term :
Bioinformatics, Phylogenetic tree, Juke’s Cantor model, Kimura’s 2-parameter model

References :
[1]. S. Vijan and R. Mehra, “Biological Sequence Alignment for Bioinformatics Applications Using MATLAB”, Vol. 2, Issue.5, pp.310-315, 2011.
[2]. J. Xiong, “Essential Bioinformatics”,Cambridge University Press, New York, pp.88-113, 2006.
[3]. S. C. Rastogi, N. Mendiratta, P. Rastogi, “Allignment of Multiple Sequences and Phylogenetic Analysis, Bioinformatics- Methods and Applications”, Prentice Hall of India, India, pp.1-220, 2007.
[4]. D. E. Krane, M. L. Raymer, “Fundamental concepts of bioinformatics”, Pearson Education Publishers, India, pp.23-56, 2006.
[5]. J. Pevsner, “Bioinformatics and Functional Genomics”, Wiley-Blackwell Publication, US, pp.107-131, 2009.
[6]. D. W. Mount, “Bioinformatics- Sequence and Genome Analysis”, Cold Spring Harbor Laboratory Press, USA, pp.28-73, 2001.

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