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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8416086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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