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InterARTIC: an interactive web application for whole-genome nanopore sequencing analysis of SARS-CoV-2 and other viruses.

Authors :
Ferguson JM
Gamaarachchi H
Nguyen T
Gollon A
Tong S
Aquilina-Reid C
Bowen-James R
Deveson IW
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2022 Feb 07; Vol. 38 (5), pp. 1443-1446.
Publication Year :
2022

Abstract

Motivation: InterARTIC is an interactive web application for the analysis of viral whole-genome sequencing (WGS) data generated on Oxford Nanopore Technologies (ONT) devices. A graphical interface enables users with no bioinformatics expertise to analyze WGS experiments and reconstruct consensus genome sequences from individual isolates of viruses, such as SARS-CoV-2. InterARTIC is intended to facilitate widespread adoption and standardization of ONT sequencing for viral surveillance and molecular epidemiology.<br />Results: We demonstrate the use of InterARTIC for the analysis of ONT viral WGS data from SARS-CoV-2 and Ebola virus, using a laptop computer or the internal computer on an ONT GridION sequencing device. We showcase the intuitive graphical interface, workflow customization capabilities and job-scheduling system that facilitate execution of small- and large-scale WGS projects on any common virus.<br />Availability and Implementation: InterARTIC is a free, open-source web application implemented in Python that executes best-practice command line workflows from the ARTIC network. The application can be downloaded as a set of pre-compiled binaries that are compatible with all common Linux distributions, Windows with Linux subsystems, MacOSX and ARM systems. All code can be found on GitHub at https://github.com/Psy-Fer/interARTIC/ and documentation can be found at https://github.com/Psy-Fer/interARTIC/.<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (© The Author(s) 2021. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1367-4811
Volume :
38
Issue :
5
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
34908106
Full Text :
https://doi.org/10.1093/bioinformatics/btab846