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

View ORCID ProfileDaniel Loos, View ORCID ProfileLu Zhang, Christine Beemelmanns, View ORCID ProfileOliver Kurzai, View ORCID ProfileGianni Panagiotou
doi: https://doi.org/10.1101/2021.04.12.437814
Daniel Loos
1Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology, Germany
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Lu Zhang
1Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology, Germany
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Christine Beemelmanns
2Chemical Biology of Microbe-Host Interactions, Leibniz Institute for Natural Product Research and Infection Biology, Germany
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Oliver Kurzai
3Institute for Hygiene and Microbiology, University of Würzburg, Germany
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Gianni Panagiotou
1Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology, Germany
4Systems Biology and Bioinformatics, School of Biological Sciences, Faculty of Science, The University of Hong Kong, China
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  • For correspondence: gianni.panagiotou@leibniz-hki.de
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Abstract

Trillions of microbes representing all kingdoms of life are resident in, and on, humans holding essential roles for 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; (iii) comparing the user’s uploaded datasets with publicly available from the Sequence Read Archive. Using 2,048 publicly available ITS samples, we demonstrated the utility of DAnIEL web server on large scale datasets and show the differences in fungal communities between human gut, skin, nasopharynx, and oral body sites.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://doi.org/10.5281/zenodo.4073125

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 12, 2021.
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DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
Daniel Loos, Lu Zhang, Christine Beemelmanns, Oliver Kurzai, Gianni Panagiotou
bioRxiv 2021.04.12.437814; doi: https://doi.org/10.1101/2021.04.12.437814
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DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data
Daniel Loos, Lu Zhang, Christine Beemelmanns, Oliver Kurzai, Gianni Panagiotou
bioRxiv 2021.04.12.437814; doi: https://doi.org/10.1101/2021.04.12.437814

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