The COVID-19 Genotyping Tool (CGT) is a visualization toolbox for SARS-CoV-2 whole genome sequencing data. Public sequences from GISAID is preloaded for inspection, and users have the option of uploading in-house SARS-CoV-2 sequencing data for concurrent analysis with public data.
A video tutorial of CGT is available
up to 10
complete (>29000 bp) COVID-19 sequences in fasta format, in one file. Ensure fasta sequences have headers.
Processing all visualizations should take up to 20 minutes, but may be longer if uploaded sequences are sufficiently dissimilar to public domain data.
DO NOT REFRESH
the page after uploading. Uploaded data will be lost on refresh as we do not store or cache user data in any way.
Hover over visualizations and use the plotly interface for navigation. Plots can be saved as a png using plotly. Metadata can be toggled from below.
Bo Wang Lab
University Health Network
CGT is a tool to visualize public COVID-19 viral genome sequence information with respect to user uploaded sequences. Input fasta sequences are aligned to pre-aligned COVID-19 sequences uploaded to
Each fasta sequence is assigned a name
and is presented with respect to the public sequencing data. The following visualizations are done to determine sequence variation:
- Uniform manifold approximation and projection
- Minimum spanning tree of sequence network
- Prevalent non-synonymous coding single-nucleotide polymorphisms (Position - Protein - Variant Type)
All methods approximate genomic differences using DNA distance determined by the Kimura-80 model of DNA evolution.
Details on metadata:
- Major geographic region where sample was processed
- Country where sample was processed
- Sample collection date in terms of days since first case (Dec 1, 2019)
- Travel history of individual whom sample was collected from (if available)
Further information and detailed documentation are available at
Recommendations and problems with the application can be opened up as an issue on GitHub. General feedback can be forwarded to
COVID-19 viral genome sequences and sequence metadata from GISAID are downloaded and processed using the CGT computational pipeline, updated on a weekly basis. No sequence information is explicitly published on the website, as per the
GISAID data usage policy.
We thank all of the GISAID contributers for sharing their data. Full up-to-date acknowledgements of COVID-19 sequence resources available
CGT does not perform any server-side storage of user uploaded sequence data. Visualizations of user analyzed data are downloadable as png images. CGT simply processes user sequence data to create the visualizations using the R-Shiny reactive framework.
Last data update: 2020-07-08
2020. Genotyping SARS-CoV-2 through an Interactive Web Application.
The Lancet Digital Health.
7500 (20): 19–20.