PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Ru, J. ; Khan Mirzaei, M. ; Xue, J. ; Peng, X. ; Deng, L.

ViroProfiler: A containerized bioinformatics pipeline for viral metagenomic data analysis.

Gut Microbes 15:2192522 (2023)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Bacteriophages play central roles in the maintenance and function of most ecosystems by regulating bacterial communities. Yet, our understanding of their diversity remains limited due to the lack of robust bioinformatics standards. Here we present ViroProfiler, an in-silico workflow for analyzing shotgun viral metagenomic data. ViroProfiler can be executed on a local Linux computer or cloud computing environments. It uses the containerization technique to ensure computational reproducibility and facilitate collaborative research. ViroProfiler is freely available at https://github.com/deng-lab/viroprofiler.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
12.200
0.000
4
2
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Virome ; Bacteriophages ; Bioinformatics ; Metagenomics ; Microbiome
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 1949-0976
e-ISSN 1949-0984
Journal Gut Microbes
Quellenangaben Volume: 15, Issue: 1, Pages: , Article Number: 2192522 Supplement: ,
Publisher Landes Bioscience
Publishing Place 530 Walnut Street, Ste 850, Philadelphia, Pa 19106 Usa
Reviewing status Peer reviewed
Institute(s) Institute of Virology (VIRO)
POF-Topic(s) 30203 - Molecular Targets and Therapies
Research field(s) Immune Response and Infection
PSP Element(s) G-554300-001
Grants Marie Curie Actions (MSCA)
China Scholarship Council (CSC)
European Research Council
Marie Sklodowska-Curie Actions Innovation Training Networks
German Research Foundation (D.F.G. Emmy Noether program)
DOI 10.1080/19490976.2023.2192522
WOS ID 000962012300001
Scopus ID 85151316200
PubMed ID 36998174
Erfassungsdatum 2023-10-06
[➜Report correction]