| Literature DB >> 34908106 |
James M Ferguson1, Hasindu Gamaarachchi1,2, Thanh Nguyen1,2, Alyne Gollon1,2, Stephanie Tong1,2, Chiara Aquilina-Reid1,2, Rachel Bowen-James1,2, Ira W Deveson1,3.
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 analyse 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 standardisation of ONT sequencing for viral surveillance and molecular epidemiology. WORKED EXAMPLE: 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 customisation capabilities and job-scheduling system that facilitate execution of small- and large-scale WGS projects on any common virus. 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. For further details please visit: https://github.com/Psy-Fer/interARTIC/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Entities:
Year: 2021 PMID: 34908106 PMCID: PMC8826086 DOI: 10.1093/bioinformatics/btab846
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937