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Whole-genome sequence analysis through online web interfaces: a review
The recent development of whole-genome sequencing technologies paved the way for understanding the genomes of microorganisms. Every whole-genome sequencing (WGS) project requires a considerable cost and a massive effort to address the questions at hand. The final step of WGS is data analysis. The an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002002/ https://www.ncbi.nlm.nih.gov/pubmed/35399002 http://dx.doi.org/10.5808/gi.20038 |
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author | Gunasekara, A. W. A. C. W. R. Rajapaksha, L. G. T. G. Tung, T.L |
author_facet | Gunasekara, A. W. A. C. W. R. Rajapaksha, L. G. T. G. Tung, T.L |
author_sort | Gunasekara, A. W. A. C. W. R. |
collection | PubMed |
description | The recent development of whole-genome sequencing technologies paved the way for understanding the genomes of microorganisms. Every whole-genome sequencing (WGS) project requires a considerable cost and a massive effort to address the questions at hand. The final step of WGS is data analysis. The analysis of whole-genome sequence is dependent on highly sophisticated bioinformatics tools that the research personal have to buy. However, many laboratories and research institutions do not have the bioinformatics capabilities to analyze the genomic data and therefore, are unable to take maximum advantage of whole-genome sequencing. In this aspect, this study provides a guide for research personals on a set of bioinformatics tools available online that can be used to analyze whole-genome sequence data of bacterial genomes. The web interfaces described here have many advantages and, in most cases exempting the need for costly analysis tools and intensive computing resources. |
format | Online Article Text |
id | pubmed-9002002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-90020022022-04-21 Whole-genome sequence analysis through online web interfaces: a review Gunasekara, A. W. A. C. W. R. Rajapaksha, L. G. T. G. Tung, T.L Genomics Inform Review Article The recent development of whole-genome sequencing technologies paved the way for understanding the genomes of microorganisms. Every whole-genome sequencing (WGS) project requires a considerable cost and a massive effort to address the questions at hand. The final step of WGS is data analysis. The analysis of whole-genome sequence is dependent on highly sophisticated bioinformatics tools that the research personal have to buy. However, many laboratories and research institutions do not have the bioinformatics capabilities to analyze the genomic data and therefore, are unable to take maximum advantage of whole-genome sequencing. In this aspect, this study provides a guide for research personals on a set of bioinformatics tools available online that can be used to analyze whole-genome sequence data of bacterial genomes. The web interfaces described here have many advantages and, in most cases exempting the need for costly analysis tools and intensive computing resources. Korea Genome Organization 2022-03-31 /pmc/articles/PMC9002002/ /pubmed/35399002 http://dx.doi.org/10.5808/gi.20038 Text en (c) 2022, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Gunasekara, A. W. A. C. W. R. Rajapaksha, L. G. T. G. Tung, T.L Whole-genome sequence analysis through online web interfaces: a review |
title | Whole-genome sequence analysis through online web interfaces: a review |
title_full | Whole-genome sequence analysis through online web interfaces: a review |
title_fullStr | Whole-genome sequence analysis through online web interfaces: a review |
title_full_unstemmed | Whole-genome sequence analysis through online web interfaces: a review |
title_short | Whole-genome sequence analysis through online web interfaces: a review |
title_sort | whole-genome sequence analysis through online web interfaces: a review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002002/ https://www.ncbi.nlm.nih.gov/pubmed/35399002 http://dx.doi.org/10.5808/gi.20038 |
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