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A Comprehensive Review on Protein Sequence Analysis Techniques

P. Haritha1 , P. Shanmugavadivu2 , S. Dhamodharan3

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 1433-1442, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.14331442

Online published on Jul 31, 2018

Copyright © P. Haritha, P. Shanmugavadivu, S. Dhamodharan . 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: P. Haritha, P. Shanmugavadivu, S. Dhamodharan, “A Comprehensive Review on Protein Sequence Analysis Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1433-1442, 2018.

MLA Style Citation: P. Haritha, P. Shanmugavadivu, S. Dhamodharan "A Comprehensive Review on Protein Sequence Analysis Techniques." International Journal of Computer Sciences and Engineering 6.7 (2018): 1433-1442.

APA Style Citation: P. Haritha, P. Shanmugavadivu, S. Dhamodharan, (2018). A Comprehensive Review on Protein Sequence Analysis Techniques. International Journal of Computer Sciences and Engineering, 6(7), 1433-1442.

BibTex Style Citation:
@article{Haritha_2018,
author = {P. Haritha, P. Shanmugavadivu, S. Dhamodharan},
title = {A Comprehensive Review on Protein Sequence Analysis Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1433-1442},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2623},
doi = {https://doi.org/10.26438/ijcse/v6i7.14331442}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.14331442}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2623
TI - A Comprehensive Review on Protein Sequence Analysis Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - P. Haritha, P. Shanmugavadivu, S. Dhamodharan
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1433-1442
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

Sequence analysis aims to explorethe pattern of DNA, RNA and Protein sequences. This analysis involves sequence alignment and extracts the patterns in sequences for the purpose of classification. Sequence analysis can be performed in several ways such as comparison of sequences, computation of similarity measure and mutation detection, based the degree of conserved sequences. It is useful to perform evolutionary analysis, prediction of gene/protein structures and reconstruction of DNA sequences. Sequence alignment plays a vital role in finding similarities among multiple sequences. This article gives an account on the familiar protein sequences alignment techniques being reported. Sequence alignments are of three types: Pair-wise Alignment, Multiple Sequence Alignment and Structural Alignment. The scope of this survey limits to the first two types of alignment. Pair-wise alignment handles a maximum of two sequences at a time, whereas multiple sequence alignment handles more than two sequences. This paper gives a synoptic view on the mechanisms, merits and demerits of select pairwise alignments and multiple sequence alignment techniques to find similarities among sequences

Key-Words / Index Term

Protein Sequence, Protein Alignment, Local Alignment, Global Alignment, Multiple Sequence Alignment.

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