@inproceedings{5e6602b90e414cb7a32491b2714968de,
title = "Using Optimal Sequencing Algorithms for COVID-19 Case Study",
abstract = "The World Health Organization (WHO) announced coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, a pandemic in 2020. The virus has undergone some mutation, making disease detection and treatment more difficult. In this paper, we review several sequence alignment algorithms which can be used to compare and observe the genome sequences. We compare three SARS-CoV-2 virus genomes obtained from Wuhan, Illinois, and India using Needleman-Wunsch and Smith-Waterman algorithms. The results show that there are several misalignment nucleotide sequences, inferring that there are mutations in the SARS-Cov-2 virus found in the Illinois and India.",
keywords = "COVID-19, Needleman-Wunsh, SARS-Cov-2, Smith-Waterman, genome analysis, sequence alignment",
author = "Heng, {Jing Wei} and Juwono, {Filbert H.} and Regina Reine",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021 ; Conference date: 07-07-2021 Through 09-07-2021",
year = "2021",
month = jul,
day = "7",
doi = "10.1109/GECOST52368.2021.9538762",
language = "English",
series = "2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021",
}