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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2022
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/.
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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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