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InterARTIC: an interactive web application for whole-genome nanopore sequencing analysis of SARS-CoV-2 and other viruses.
Ferguson, James M; Gamaarachchi, Hasindu; Nguyen, Thanh; Gollon, Alyne; Tong, Stephanie; Aquilina-Reid, Chiara; Bowen-James, Rachel; Deveson, Ira W.
Affiliation
  • Ferguson JM; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Gamaarachchi H; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Nguyen T; School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.
  • Gollon A; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Tong S; School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.
  • Aquilina-Reid C; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Bowen-James R; School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.
  • Deveson IW; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Bioinformatics ; 38(5): 1443-1446, 2022 02 07.
Article in En | MEDLINE | ID: mdl-34908106
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. 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. 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Nanopores / Nanopore Sequencing / COVID-19 Type of study: Guideline Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Australia

Full text: 1 Database: MEDLINE Main subject: Nanopores / Nanopore Sequencing / COVID-19 Type of study: Guideline Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Australia