Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784795421588062208 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9501225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ibaljeraldconrad reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome AT parkyeongjun reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome AT parkminkyu reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome AT leejooeun reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome AT kimminchul reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome AT shinjaeho reviewofthecurrentstateoffreelyaccessiblewebtoolsfortheanalysisof16srrnasequencingofthegutmicrobiome |