-
No. 772, Basant Vihar, Kota
Rajasthan-324009 India
-
Call Us On
+91 9784677044
-
Mail Us @
editor@ijpab.com
Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2014 , Volume 2, Issue 3
Page No. : 139-144
Article doi: : http://dx.doi.org/10.18782
Keyword based Iterative Approach to Multiple Sequence Alignment
Himanshu S Mazumdar1, Ankita C Baravaliya2 and Maulika S Patel3*
1Head, Research and Development Center, Dharmsinh Desai University, Nadiad, Gujarat, India, http://www.ddu.ac.in
2Student, Department of Information Technology, Dharmsinh Desai University, Nadiad, Gujarat, India, http://www.ddu.ac.in
3Head, Department of Computer Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India, http://www.gcet.ac.in
*Corresponding Author E-mail: maulika.sandip@gmail.com
ABSTRACT
In many research applications large number of similar looking peptide sequences needs to be analyzed
for study of small differences using visual alignment technique called Multiple Sequence Alignment. For
better understanding of proteins and their functions, it is necessary to align the strong bonds of each
sequence and observe the changes in weak bonds. Multiple sequence alignment identifies and quantifies
similarities and differences among several proteins visually or graphically. The dissimilarities in multiple
sequences can be due to evolutionary processes such as mutation, insertion or deletion of amino acid
residues. In multiple sequence alignment, most of the technique uses pair wise alignment method which is
time consuming and computationally intensive. Performance of the algorithm presented here is found
more efficient compared to recently reported techniques.
Keywords- keyword, Occurring Frequency, backtracking, threshold value, iterative alignment.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article:
Int. J. Pure App. Biosci. 2 (3): 139-144 (2014)
