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

被引:8
|
作者
Loos, Daniel [1 ]
Zhang, Lu [1 ]
Beemelmanns, Christine [2 ]
Kurzai, Oliver [3 ,4 ]
Panagiotou, Gianni [1 ,5 ]
机构
[1] Leibniz Inst Nat Prod Res & Infect Biol, Syst Biol & Bioinformat Grp, Jena, Germany
[2] Leibniz Inst Nat Prod Res & Infect Biol, Chem Biol Microbe Host Interact Grp, Jena, Germany
[3] Univ Wurzburg, Inst Hyg & Microbiol, Wurzburg, Germany
[4] Leibniz Inst Nat Prod Res & Infect Biol, Natl Reference Ctr Invas Fungal Infect NRZMyk, Jena, Germany
[5] Univ Hong Kong, Sch Biol Sci, Syst Biol & Bioinformat Grp, Fac Sci, Hong Kong, Peoples R China
基金
欧洲研究理事会;
关键词
metagenomics; fungi; mycobiome; web server; ITS; INTERNAL TRANSCRIBED SPACER; MARKER; TOOLS;
D O I
10.3389/fmicb.2021.720513
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.</p>
引用
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页数:8
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