Version 1
: Received: 16 June 2020 / Approved: 18 June 2020 / Online: 18 June 2020 (06:24:20 CEST)
How to cite:
Singer, J.; Gifford, R.; Cotten, M.; Robertson, D. CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation. Preprints2020, 2020060225. https://doi.org/10.20944/preprints202006.0225.v1
Singer, J.; Gifford, R.; Cotten, M.; Robertson, D. CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation. Preprints 2020, 2020060225. https://doi.org/10.20944/preprints202006.0225.v1
Singer, J.; Gifford, R.; Cotten, M.; Robertson, D. CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation. Preprints2020, 2020060225. https://doi.org/10.20944/preprints202006.0225.v1
APA Style
Singer, J., Gifford, R., Cotten, M., & Robertson, D. (2020). CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation. Preprints. https://doi.org/10.20944/preprints202006.0225.v1
Chicago/Turabian Style
Singer, J., Matthew Cotten and David Robertson. 2020 "CoV-GLUE: A Web Application for Tracking SARS-CoV-2 Genomic Variation" Preprints. https://doi.org/10.20944/preprints202006.0225.v1
Abstract
Summary CoV-GLUE is an online web application for the interpretation and analysis of SARS-CoV-2 virus genome sequences, with a focus on amino acid sequence variation. It is based on the GLUE data-centric bioinformatics environment and provides a browsable database of amino acid replacements and coding region indels that have been observed in sequences from the pandemic. Users may also analyse their own SARS-CoV-2 sequences by submitting them to the web application to receive an interactive report containing visualisations of phylogenetic classification and highlighting genomic variation of potentially high impact, for example linked to primer mismatches.Availability and implementation Available athttp://cov-glue.cvr.gla.ac.uk. Implemented using GLUE, an open source framework for the development of virus sequence data resources. Contact josh.singer@glasgow.ac.uk
SARS-CoV-2; web application; virus genome; lineage assignment; amino acids
Subject
Biology and Life Sciences, Virology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
