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
收藏
页数:8
相关论文
共 50 条
  • [31] A User-Friendly Introduction to Panel Data Modeling
    Worrall, John
    JOURNAL OF CRIMINAL JUSTICE EDUCATION, 2010, 21 (02) : 182 - 196
  • [32] ShapoGraphy: A User-Friendly Web Application for Creating Bespoke and Intuitive Visualisation of Biomedical Data
    Khawatmi, Muhammed
    Steux, Yoann
    Zourob, Saddam
    Sailem, Heba Z.
    FRONTIERS IN BIOINFORMATICS, 2022, 2
  • [33] A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis
    Caputo, Andrea
    Kargina, Mariya
    JOURNAL OF MARKETING ANALYTICS, 2022, 10 (01) : 82 - 88
  • [34] USER-FRIENDLY DESIGN AND ITS IMPACT ON PRODUCTIVITY
    Arshad, Mohammad Wasif
    Khaliq, Ayesha
    Qurashi, Aleena Hasan
    Khan, Hira
    INTED2017: 11TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE, 2017, : 7487 - 7492
  • [35] Statfda: A User-Friendly Web Application to Analyse Curves Data from a Functional Perspective
    Acal, Christian
    Escabias, Manuel
    Valderrama, Mariano J.
    Aguilera, Ana M.
    EXPERIMENTAL MATHEMATICS, 2024,
  • [36] POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis
    Castellano-Escuder, Pol
    Gonzalez-Dominguez, Raul
    Carmona-Pontaque, Francesc
    Andres-Lacueva, Cristina
    Sanchez-Pla, Alex
    PLOS COMPUTATIONAL BIOLOGY, 2021, 17 (07)
  • [37] User-friendly software for SANS data reduction
    Biemann, P
    Haese-Seiller, M
    Staron, P
    PHYSICA B, 2000, 276 : 156 - 157
  • [38] A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis
    Andrea Caputo
    Mariya Kargina
    Journal of Marketing Analytics, 2022, 10 : 82 - 88
  • [39] TRUFA: A User-Friendly Web Server for de novo RNA-seq Analysis Using Cluster Computing
    Kornobis, Etienne
    Cabellos, Luis
    Aguilar, Fernando
    Frias-Lopez, Cristina
    Rozas, Julio
    Marco, Jesus
    Zardoya, Rafael
    EVOLUTIONARY BIOINFORMATICS, 2015, 11 : 97 - 104
  • [40] A user-friendly web portal for T-Coffee on supercomputers
    Rius, Josep
    Cores, Fernando
    Solsona, Francesc
    van Hemert, Jano I.
    Koetsier, Jos
    Notredame, Cedric
    BMC BIOINFORMATICS, 2011, 12