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Namco: a microbiome explorer
16S rRNA gene profiling is currently the most widely used technique in microbiome research and allows the study of microbial diversity, taxonomic profiling, phylogenetics, functional and network analysis. While a plethora of tools have been developed for the analysis of 16S rRNA gene data, only a fe...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484756/ https://www.ncbi.nlm.nih.gov/pubmed/35917163 http://dx.doi.org/10.1099/mgen.0.000852 |
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author | Dietrich, Alexander Matchado, Monica Steffi Zwiebel, Maximilian Ölke, Benjamin Lauber, Michael Lagkouvardos, Ilias Baumbach, Jan Haller, Dirk Brandl, Beate Skurk, Thomas Hauner, Hans Reitmeier, Sandra List, Markus |
author_facet | Dietrich, Alexander Matchado, Monica Steffi Zwiebel, Maximilian Ölke, Benjamin Lauber, Michael Lagkouvardos, Ilias Baumbach, Jan Haller, Dirk Brandl, Beate Skurk, Thomas Hauner, Hans Reitmeier, Sandra List, Markus |
author_sort | Dietrich, Alexander |
collection | PubMed |
description | 16S rRNA gene profiling is currently the most widely used technique in microbiome research and allows the study of microbial diversity, taxonomic profiling, phylogenetics, functional and network analysis. While a plethora of tools have been developed for the analysis of 16S rRNA gene data, only a few platforms offer a user-friendly interface and none comprehensively covers the whole analysis pipeline from raw data processing down to complex analysis. We introduce Namco, an R shiny application that offers a streamlined interface and serves as a one-stop solution for microbiome analysis. We demonstrate Namco’s capabilities by studying the association between a rich fibre diet and the gut microbiota composition. Namco helped to prove the hypothesis that butyrate-producing bacteria are prompted by fibre-enriched intervention. Namco provides a broad range of features from raw data processing and basic statistics down to machine learning and network analysis, thus covering complex data analysis tasks that are not comprehensively covered elsewhere. Namco is freely available at https://exbio.wzw.tum.de/namco/. |
format | Online Article Text |
id | pubmed-9484756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94847562022-09-20 Namco: a microbiome explorer Dietrich, Alexander Matchado, Monica Steffi Zwiebel, Maximilian Ölke, Benjamin Lauber, Michael Lagkouvardos, Ilias Baumbach, Jan Haller, Dirk Brandl, Beate Skurk, Thomas Hauner, Hans Reitmeier, Sandra List, Markus Microb Genom Methods 16S rRNA gene profiling is currently the most widely used technique in microbiome research and allows the study of microbial diversity, taxonomic profiling, phylogenetics, functional and network analysis. While a plethora of tools have been developed for the analysis of 16S rRNA gene data, only a few platforms offer a user-friendly interface and none comprehensively covers the whole analysis pipeline from raw data processing down to complex analysis. We introduce Namco, an R shiny application that offers a streamlined interface and serves as a one-stop solution for microbiome analysis. We demonstrate Namco’s capabilities by studying the association between a rich fibre diet and the gut microbiota composition. Namco helped to prove the hypothesis that butyrate-producing bacteria are prompted by fibre-enriched intervention. Namco provides a broad range of features from raw data processing and basic statistics down to machine learning and network analysis, thus covering complex data analysis tasks that are not comprehensively covered elsewhere. Namco is freely available at https://exbio.wzw.tum.de/namco/. Microbiology Society 2022-08-02 /pmc/articles/PMC9484756/ /pubmed/35917163 http://dx.doi.org/10.1099/mgen.0.000852 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution. |
spellingShingle | Methods Dietrich, Alexander Matchado, Monica Steffi Zwiebel, Maximilian Ölke, Benjamin Lauber, Michael Lagkouvardos, Ilias Baumbach, Jan Haller, Dirk Brandl, Beate Skurk, Thomas Hauner, Hans Reitmeier, Sandra List, Markus Namco: a microbiome explorer |
title | Namco: a microbiome explorer |
title_full | Namco: a microbiome explorer |
title_fullStr | Namco: a microbiome explorer |
title_full_unstemmed | Namco: a microbiome explorer |
title_short | Namco: a microbiome explorer |
title_sort | namco: a microbiome explorer |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484756/ https://www.ncbi.nlm.nih.gov/pubmed/35917163 http://dx.doi.org/10.1099/mgen.0.000852 |
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