Analysis of Covid-19 Genome Sequences based on Geo-Locations
Abstract
The COVID-19 pandemic has become a major worldwide serious health risk of the current 21st century. It is necessary to examine the genomic sequences of the deadly virus COVID-19 strains to fully understand the virus’s behavior, origin, and how rapidly it mutates. This paper addresses the analysis of the COVID-19 genome sequences CGS of China, Pakistan, and India. In this research, we have looked at the usage of sequential pattern mining (SPM), a closed sequential pattern technique to discover valuable information from COVID-19 genomic sequences. The analysis is performed on the three strains of genome sequences. First, the sequences data files of genome sequences are being transformed to the computer-readable corpus of CGS and then the SPM technique is applied to discover the frequent patterns of nucleotides. Second, Frequent codons of Amino acids are extracted from three strains of genome sequences. Third, we have evaluated the performance of the proposed approach in terms of time execution, the number of frequent patterns, and memory consumption. Obtained results suggest that the codon of Threonine amino acid ACA with support 1576 in Pakistan is the most frequent pattern from the other two strains of CGS. Furthermore, when the user minimum threshold value is low, the closed sequential pattern mining using sparse and vertical id-lists CloFAST algorithm performance evaluates that a high number of frequent patterns consumes more time and memory
Copyright (c) 2021 Pakistan Journal of Engineering and Technology
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
COPYRIGHT POLICY
UOL journals follow an open-access publishing policy and full text of all articles is available free, immediately upon acceptance. Articles are published and distributed under the terms of the CC BY-SA 4.0 International License. Thus, work submitted to UOL Journals implies that it is original, unpublished work of the authors; neither published previously nor accepted/under consideration for publication elsewhere.
Authors will be responsible for any information written/informed/reported in the submitted manuscript. Although we do not require authors to submit the data collection documents and coded sheets used to do quantitative or qualitative analysis, we may request it at any time during the publication process, including after the article has been published. It is author's responsibility to obtain signed permission from the copyright holder to use and reproduce text, illustrations, tables, etc., published previously in other journals, electronic or print media.
Conflict of interest statements will be published at the end of the article. If no conflict of interest exists, the following sentence will be used: "The authors declare no conflict of interest." Authors are required to disclose any sponsorship or funding received from any institution relating to their research. The editor(s) will determine what disclosures, if any, should be available to the readers.
Authors are not permitted to post the work on any website/blog/forum/board or at any other place, by any means, from the time such work is submitted to UOL journals until the final decision on the paper has been given to them. In case a paper is accepted for publication, the authors may not post the work in its entirety on any website/blog/forum/board or at any other place, by any means, till the paper is published in UOL Journals.
The authors may, however, post the title, authors’ names and their affiliations and abstract, with the following statement on the first page of the paper - "The manuscript has been accepted for publication in UOL Journals". After publication of the article, it may be posted anywhere with full journal citation included.
All articles published in UOL journals are open-access articles, published and distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits remixing, transformation, or building upon the material, provided the original work is appropriately cited mentioning the authors and the publisher, as well as the produced work is distributed under the same license as the original.
In the future, UOL may reproduce printed copies of articles in any form. Without prejudice to the terms of the license given below, we retain the right to reproduce author's articles in this way.
Brief Summary Of The License Agreement
By submitting your research article(s) to UOL Journal(s), you agree to Creative Commons Attribution-ShareAlike 4.0 International License which states that:
Anyone is free:
o To copy and redistribute the material in any medium or format
o To remix, transform, or build upon the material for any purpose, even commercially
Provided:
o The author and the publisher have been appropriately credited
o The link to license is provided
o Indicated if any changes were made
o The material produced is distributed under the same license as the original
