INSaFLU-TELEVIR: an open web-based bioinformatics suite for viral metagenomic detection and routine genomic surveillance

João Dourado Santos, Daniel Sobral, Miguel Pinheiro, Joana Isidro, Carlijn Bogaardt, Miguel Pinto, Rodrigo Eusébio, André Santos, Rafael Mamede, Daniel L. Horton, João Paulo Gomes, Vítor Borges

Resultado de pesquisarevisão de pares

2 Citações (Scopus)

Resumo

Background: Implementation of clinical metagenomics and pathogen genomic surveillance can be particularly challenging due to the lack of bioinformatics tools and/or expertise. In order to face this challenge, we have previously developed INSaFLU, a free web-based bioinformatics platform for virus next-generation sequencing data analysis. Here, we considerably expanded its genomic surveillance component and developed a new module (TELEVIR) for metagenomic virus identification. Results: The routine genomic surveillance component was strengthened with new workflows and functionalities, including (i) a reference-based genome assembly pipeline for Oxford Nanopore technologies (ONT) data; (ii) automated SARS-CoV-2 lineage classification; (iii) Nextclade analysis; (iv) Nextstrain phylogeographic and temporal analysis (SARS-CoV-2, human and avian influenza, monkeypox, respiratory syncytial virus (RSV A/B), as well as a “generic” build for other viruses); and (v) algn2pheno for screening mutations of interest. Both INSaFLU pipelines for reference-based consensus generation (Illumina and ONT) were benchmarked against commonly used command line bioinformatics workflows for SARS-CoV-2, and an INSaFLU snakemake version was released. In parallel, a new module (TELEVIR) for virus detection was developed, after extensive benchmarking of state-of-the-art metagenomics software and following up-to-date recommendations and practices in the field. TELEVIR allows running complex workflows, covering several combinations of steps (e.g., with/without viral enrichment or host depletion), classification software (e.g., Kaiju, Kraken2, Centrifuge, FastViromeExplorer), and databases (RefSeq viral genome, Virosaurus, etc.), while culminating in user- and diagnosis-oriented reports. Finally, to potentiate real-time virus detection during ONT runs, we developed findONTime, a tool aimed at reducing costs and the time between sample reception and diagnosis. Conclusions: The accessibility, versatility, and functionality of INSaFLU-TELEVIR are expected to supply public and animal health laboratories and researchers with a user-oriented and pan-viral bioinformatics framework that promotes a strengthened and timely viral metagenomic detection and routine genomics surveillance. INSaFLU-TELEVIR is compatible with Illumina, Ion Torrent, and ONT data and is freely available at https://insaflu.insa.pt/ (online tool) and https://github.com/INSaFLU (code).

Idioma originalInglês
Número do artigo61
Páginas (de-até)61
RevistaGenome Medicine
Volume16
Número de emissão1
DOIs
Estado da publicaçãoPublicadas - 25 abr. 2024

Nota bibliográfica

© 2024. The Author(s).

Financiamento

Financiadoras/-esNúmero do financiador
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
Statens Serum Institut
Indian National Science Academy
Statens veterinärmedicinska anstalt
University of Surrey
Centro de Investigación en Sanidad Animal
GNU General Public License
Norway Artur Rzeżutka
Infraestrutura Nacional de Computação Distribuída
European Society for Clinical Virology
Consejo Superior de Investigaciones Científicas
Portugal Maurilia Marcacci
Państwowy Instytut Weterynaryjny - Państwowy Instytut Badawczy
Department of Food and Environmental Virology
National Institute of Health Doutor Ricardo Jorge
Veterinærinstituttets
EU4H101102733
PIWET24-100
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise25124
Horizon 2020 Framework Programme773830
Italian national Research programB93C22001210001, MCIN/AEI/10.13039/501100011033
Fundação para a Ciência e a Tecnologia2020.08493
European CommissionPLEC2021-007968
UK Research and Innovation104691
European Regional Development Fund22153-01/SAICT/2016

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