VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis

Since the beginning of 2020, the COVID-19 pandemic has posed unprecedented challenges to viral data analysis and connected host disease diagnostic methods. We propose VirusLab, a flexible system for analysing SARS-CoV-2 viral sequences and relating them to metadata or clinical information about the...

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Main Authors: Pietro Pinoli, Anna Bernasconi, Anna Sandionigi, Stefano Ceri
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:BioTech
Subjects:
Online Access:https://www.mdpi.com/2673-6284/10/4/27
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author Pietro Pinoli
Anna Bernasconi
Anna Sandionigi
Stefano Ceri
author_facet Pietro Pinoli
Anna Bernasconi
Anna Sandionigi
Stefano Ceri
author_sort Pietro Pinoli
collection DOAJ
description Since the beginning of 2020, the COVID-19 pandemic has posed unprecedented challenges to viral data analysis and connected host disease diagnostic methods. We propose VirusLab, a flexible system for analysing SARS-CoV-2 viral sequences and relating them to metadata or clinical information about the host. VirusLab capitalizes on two existing resources: ViruSurf, a database of public SARS-CoV-2 sequences supporting metadata-driven search, and VirusViz, a tool for visual analysis of search results. VirusLab is designed for taking advantage of these resources within a server-side architecture that: (i) covers pipelines based on approaches already in use (ARTIC, Galaxy) but entirely cutomizable upon user request; (ii) predigests analysis of raw sequencing data from different platforms (Oxford Nanopore and Illumina); (iii) gives access to public archives datasets; (iv) supplies user-friendly reporting – making it a tool that can also be integrated into a business environment. VirusLab can be installed and hosted within the premises of any organization where information about SARS-CoV-2 sequences can be safely integrated with information about hosts (e.g., clinical metadata). A system such as VirusLab is not currently available in the landscape of similar providers: our results show that VirusLab is a powerful tool to generate tabular/graphical and machine readable reports that can be integrated in more complex pipelines. We foresee that the proposed system can support many research-oriented and therapeutic scenarios within hospitals or the tracing of viral sequences and their mutational processes within organizations for viral surveillance.
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spelling doaj.art-01b40891ac15477e846bbd8f2303a0782023-12-03T13:28:36ZengMDPI AGBioTech2673-62842021-11-011042710.3390/biotech10040027VirusLab: A Tool for Customized SARS-CoV-2 Data AnalysisPietro Pinoli0Anna Bernasconi1Anna Sandionigi2Stefano Ceri3Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, ItalyQuantia Consulting S.r.l., Mariano Comense, 22066 Como, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, ItalySince the beginning of 2020, the COVID-19 pandemic has posed unprecedented challenges to viral data analysis and connected host disease diagnostic methods. We propose VirusLab, a flexible system for analysing SARS-CoV-2 viral sequences and relating them to metadata or clinical information about the host. VirusLab capitalizes on two existing resources: ViruSurf, a database of public SARS-CoV-2 sequences supporting metadata-driven search, and VirusViz, a tool for visual analysis of search results. VirusLab is designed for taking advantage of these resources within a server-side architecture that: (i) covers pipelines based on approaches already in use (ARTIC, Galaxy) but entirely cutomizable upon user request; (ii) predigests analysis of raw sequencing data from different platforms (Oxford Nanopore and Illumina); (iii) gives access to public archives datasets; (iv) supplies user-friendly reporting – making it a tool that can also be integrated into a business environment. VirusLab can be installed and hosted within the premises of any organization where information about SARS-CoV-2 sequences can be safely integrated with information about hosts (e.g., clinical metadata). A system such as VirusLab is not currently available in the landscape of similar providers: our results show that VirusLab is a powerful tool to generate tabular/graphical and machine readable reports that can be integrated in more complex pipelines. We foresee that the proposed system can support many research-oriented and therapeutic scenarios within hospitals or the tracing of viral sequences and their mutational processes within organizations for viral surveillance.https://www.mdpi.com/2673-6284/10/4/27SARS-CoV-2data integrationvirus sequencingmutation analysisdiagnosticsCOVID-19
spellingShingle Pietro Pinoli
Anna Bernasconi
Anna Sandionigi
Stefano Ceri
VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
BioTech
SARS-CoV-2
data integration
virus sequencing
mutation analysis
diagnostics
COVID-19
title VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
title_full VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
title_fullStr VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
title_full_unstemmed VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
title_short VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis
title_sort viruslab a tool for customized sars cov 2 data analysis
topic SARS-CoV-2
data integration
virus sequencing
mutation analysis
diagnostics
COVID-19
url https://www.mdpi.com/2673-6284/10/4/27
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AT annasandionigi viruslabatoolforcustomizedsarscov2dataanalysis
AT stefanoceri viruslabatoolforcustomizedsarscov2dataanalysis