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Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome

Owing to the emergence and improvement of high-throughput technology and the associated reduction in costs, next-generation sequencing (NGS) technology has made large-scale sampling and sequencing possible. With the large volume of data produced, the processing and downstream analysis of data are im...

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Autores principales: Ibal, Jerald Conrad, Park, Yeong-Jun, Park, Min-Kyu, Lee, Jooeun, Kim, Min-Chul, Shin, Jae-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501225/
https://www.ncbi.nlm.nih.gov/pubmed/36142775
http://dx.doi.org/10.3390/ijms231810865
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author Ibal, Jerald Conrad
Park, Yeong-Jun
Park, Min-Kyu
Lee, Jooeun
Kim, Min-Chul
Shin, Jae-Ho
author_facet Ibal, Jerald Conrad
Park, Yeong-Jun
Park, Min-Kyu
Lee, Jooeun
Kim, Min-Chul
Shin, Jae-Ho
author_sort Ibal, Jerald Conrad
collection PubMed
description Owing to the emergence and improvement of high-throughput technology and the associated reduction in costs, next-generation sequencing (NGS) technology has made large-scale sampling and sequencing possible. With the large volume of data produced, the processing and downstream analysis of data are important for ensuring meaningful results and interpretation. Problems in data analysis may be encountered if researchers have little experience in using programming languages, especially if they are clinicians and beginners in the field. A strategy for solving this problem involves ensuring easy access to commercial software and tools. Here, we observed the current status of free web-based tools for microbiome analysis that can help users analyze and handle microbiome data effortlessly. We limited our search to freely available web-based tools and identified MicrobiomeAnalyst, Mian, gcMeta, VAMPS, and Microbiome Toolbox. We also highlighted the various analyses that each web tool offers, how users can analyze their data using each web tool, and noted some of their limitations. From the abovementioned list, gcMeta, VAMPS, and Microbiome Toolbox had several issues that made the analysis more difficult. Over time, as more data are generated and accessed, more users will analyze microbiome data. Thus, the availability of free and easily accessible web tools can enable the easy use and analysis of microbiome data, especially for those users with less experience in using command-line interfaces.
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spelling pubmed-95012252022-09-24 Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome Ibal, Jerald Conrad Park, Yeong-Jun Park, Min-Kyu Lee, Jooeun Kim, Min-Chul Shin, Jae-Ho Int J Mol Sci Review Owing to the emergence and improvement of high-throughput technology and the associated reduction in costs, next-generation sequencing (NGS) technology has made large-scale sampling and sequencing possible. With the large volume of data produced, the processing and downstream analysis of data are important for ensuring meaningful results and interpretation. Problems in data analysis may be encountered if researchers have little experience in using programming languages, especially if they are clinicians and beginners in the field. A strategy for solving this problem involves ensuring easy access to commercial software and tools. Here, we observed the current status of free web-based tools for microbiome analysis that can help users analyze and handle microbiome data effortlessly. We limited our search to freely available web-based tools and identified MicrobiomeAnalyst, Mian, gcMeta, VAMPS, and Microbiome Toolbox. We also highlighted the various analyses that each web tool offers, how users can analyze their data using each web tool, and noted some of their limitations. From the abovementioned list, gcMeta, VAMPS, and Microbiome Toolbox had several issues that made the analysis more difficult. Over time, as more data are generated and accessed, more users will analyze microbiome data. Thus, the availability of free and easily accessible web tools can enable the easy use and analysis of microbiome data, especially for those users with less experience in using command-line interfaces. MDPI 2022-09-17 /pmc/articles/PMC9501225/ /pubmed/36142775 http://dx.doi.org/10.3390/ijms231810865 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ibal, Jerald Conrad
Park, Yeong-Jun
Park, Min-Kyu
Lee, Jooeun
Kim, Min-Chul
Shin, Jae-Ho
Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title_full Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title_fullStr Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title_full_unstemmed Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title_short Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome
title_sort review of the current state of freely accessible web tools for the analysis of 16s rrna sequencing of the gut microbiome
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501225/
https://www.ncbi.nlm.nih.gov/pubmed/36142775
http://dx.doi.org/10.3390/ijms231810865
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