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A Comparative Study of Multiple Sequence Alignments

R. Karmakar1 , T.K. Sadhu2 , A. Hazra3 , S. Sahana4 , S. Karmakar5

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-3 , Page no. 96-100, Mar-2017

Online published on Mar 31, 2017

Copyright © R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar . 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: R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar, “A Comparative Study of Multiple Sequence Alignments,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.3, pp.96-100, 2017.

MLA Style Citation: R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar "A Comparative Study of Multiple Sequence Alignments." International Journal of Computer Sciences and Engineering 5.3 (2017): 96-100.

APA Style Citation: R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar, (2017). A Comparative Study of Multiple Sequence Alignments. International Journal of Computer Sciences and Engineering, 5(3), 96-100.

BibTex Style Citation:
@article{Karmakar_2017,
author = {R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar},
title = {A Comparative Study of Multiple Sequence Alignments},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2017},
volume = {5},
Issue = {3},
month = {3},
year = {2017},
issn = {2347-2693},
pages = {96-100},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1216},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1216
TI - A Comparative Study of Multiple Sequence Alignments
T2 - International Journal of Computer Sciences and Engineering
AU - R. Karmakar, T.K. Sadhu, A. Hazra, S. Sahana, S. Karmakar
PY - 2017
DA - 2017/03/31
PB - IJCSE, Indore, INDIA
SP - 96-100
IS - 3
VL - 5
SN - 2347-2693
ER -

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Abstract

Multiple sequence alignment is a very useful tool[18]. It is used to solve different Biological sequence alignment problem like DNA and Protein sequences[3]. There are many ways to solve multiple sequence alignment problems. Dynamic programming method is used to produce MSA directly[23]. Nowadays, progressive alignment approach and iterative approach are the important methods to solve MSA problems. This paper discussion is about some progressive alignment and iterative Multiple Sequence Alignment algorithm methods and compare their performances.

Key-Words / Index Term

Progressive MSA, DNA, Progressive Alignment

References

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