ITSoneWB: profiling global taxonomic diversity of eukaryotic communities on Galaxy-Reference-Cited by-同舟云学术

ITSoneWB: profiling global taxonomic diversity of eukaryotic communities on Galaxy

Published:2021-06-12 Issue: Volume: Page:
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Tangaro Marco A¹,Defazio Giuseppe²^ORCID,Fosso Bruno¹,Licciulli Vito Flavio³^ORCID,Grillo Giorgio³,Donvito Giacinto⁴,Lavezzo Enrico⁵,Baruzzo Giacomo⁶^ORCID,Pesole Graziano¹²^ORCID,Santamaria Monica¹^ORCID

Affiliation:

1. Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council, Bari 70126, Italy

2. Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari ‘A. Moro’, Bari 70126, Italy

3. Institute of Biomedical Technologies, National Research Council, Bari Unit, Bari 70126, Italy

4. National Institute for Nuclear Physics (INFN), Section of Bari, Bari 70126, Italy

5. Department of Molecular Medicine, University of Padova, Padova 35131, Italy

6. Department of Information Engineering, University of Padova, Padova 35131, Italy

Abstract

Abstract Summary ITSoneWB (ITSone WorkBench) is a Galaxy-based bioinformatic environment where comprehensive and high-quality reference data are connected with established pipelines and new tools in an automated and easy-to-use service targeted at global taxonomic analysis of eukaryotic communities based on Internal Transcribed Spacer 1 variants high-throughput sequencing. Availability and implementation ITSoneWB has been deployed on the INFN-Bari ReCaS cloud facility and is freely available on the web at http://itsonewb.cloud.ba.infn.it/galaxy. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

European Commission

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btab431/38895014/btab431.pdf

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