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

Authors :
Daniel Loos
Lu Zhang
Christine Beemelmanns
Oliver Kurzai
Gianni Panagiotou
Source :
Frontiers in Microbiology, Vol 12 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

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.

Details

Language :
English
ISSN :
1664302X
Volume :
12
Database :
Directory of Open Access Journals
Journal :
Frontiers in Microbiology
Publication Type :
Academic Journal
Accession number :
edsdoj.831f1456c026402e82230f2789ae0aa7
Document Type :
article
Full Text :
https://doi.org/10.3389/fmicb.2021.720513