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DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data

Trillions of microbes representing all kingdoms of life are resident in, and on, humans holding essential roles for the host development and physiology. The last decade over a dozen online tools and servers, accessible via public domain, have been developed for the analysis of bacterial sequences; h...

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Autores principales: Loos, Daniel, Zhang, Lu, Beemelmanns, Christine, Kurzai, Oliver, Panagiotou, Gianni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416086/
https://www.ncbi.nlm.nih.gov/pubmed/34484161
http://dx.doi.org/10.3389/fmicb.2021.720513
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author Loos, Daniel
Zhang, Lu
Beemelmanns, Christine
Kurzai, Oliver
Panagiotou, Gianni
author_facet Loos, Daniel
Zhang, Lu
Beemelmanns, Christine
Kurzai, Oliver
Panagiotou, Gianni
author_sort Loos, Daniel
collection PubMed
description Trillions of microbes representing all kingdoms of life are resident in, and on, humans holding essential roles for the host development and physiology. The last decade over a dozen online tools and servers, accessible via public domain, have been developed for the analysis of bacterial sequences; however, the analysis of fungi is still in its infancy. Here, we present a web server dedicated to the comprehensive analysis of the human mycobiome for (i) translating raw sequencing reads to data tables and high-standard figures, (ii) integrating statistical analysis and machine learning with a manually curated relational database and (iii) comparing the user’s uploaded datasets with publicly available from the Sequence Read Archive. Using 1,266 publicly available Internal transcribed spacers (ITS) samples, we demonstrated the utility of DAnIEL web server on large scale datasets and show the differences in fungal communities between human skin and soil sites.
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spelling pubmed-84160862021-09-04 DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data Loos, Daniel Zhang, Lu Beemelmanns, Christine Kurzai, Oliver Panagiotou, Gianni Front Microbiol Microbiology Trillions of microbes representing all kingdoms of life are resident in, and on, humans holding essential roles for the host development and physiology. The last decade over a dozen online tools and servers, accessible via public domain, have been developed for the analysis of bacterial sequences; however, the analysis of fungi is still in its infancy. Here, we present a web server dedicated to the comprehensive analysis of the human mycobiome for (i) translating raw sequencing reads to data tables and high-standard figures, (ii) integrating statistical analysis and machine learning with a manually curated relational database and (iii) comparing the user’s uploaded datasets with publicly available from the Sequence Read Archive. Using 1,266 publicly available Internal transcribed spacers (ITS) samples, we demonstrated the utility of DAnIEL web server on large scale datasets and show the differences in fungal communities between human skin and soil sites. Frontiers Media S.A. 2021-08-17 /pmc/articles/PMC8416086/ /pubmed/34484161 http://dx.doi.org/10.3389/fmicb.2021.720513 Text en Copyright © 2021 Loos, Zhang, Beemelmanns, Kurzai and Panagiotou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Loos, Daniel
Zhang, Lu
Beemelmanns, Christine
Kurzai, Oliver
Panagiotou, Gianni
DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title_full DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title_fullStr DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title_full_unstemmed DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title_short DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
title_sort daniel: a user-friendly web server for fungal its amplicon sequencing data
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416086/
https://www.ncbi.nlm.nih.gov/pubmed/34484161
http://dx.doi.org/10.3389/fmicb.2021.720513
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