Inferring Genetic Variability in Indian SARS-CoV-2 Genomes using
Consensus of Multiple Sequence Alignment Techniques


Indrajit Saha1,+,*,Nimisha Ghosh2,+, Debasree Maity3, Nikhil Sharma 4, Kaushik Mitra5


1Department of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata, India
2Department of Computer Science and Information Technology, Institute of Technical Education and Research,
Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India
3MCKV Institute of Engineering, Liluah, Howrah, India
4Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, India
5Department of Community Medicine, Burdwan Medical College, Barddhaman, India
*Correspondence should be addressed to team leader : indrajit@nitttrkol.ac.in
+These team members contributed equally to this work



Supplementary


dataset


code


The algorithm is developed in MATLAB. The code is available in zipped form here. Use of code/technique/algorithm is free as long as it is used for any academic and non-commercial purpose. If you use this code/technique/algorithm, please cite this work.

For any query regarding the code/technique/algorithm, please mail to indrajit@nitttrkol.ac.in

Disclaimer:
The virus genomes are collected from public database like GISAID. Thus, NITTTR, Kolkata does not own any responsibility.