The SARS-CoV-2 Immunoanalytics platform is an online tool for the visulisation and analysis of multiple genomic and immunoinformatic meta-analyses. The tool combines an extensive epitope mapping and prediction meta-analysis, with an weeky updated database of 200,000+ whole genome sequences, and an analysis of human coronavirus homology, combined with up-to-date annotations from the UniProt database. With this tool and the data we have generated, we hope researchers can perform their own further research, whatever it may be.

SARS-CoV-2 Mutation Tracking Toolkit

Follow the link to find a useful set of tools to track SARS-CoV-2 mutations.
Here you can find analyses on variants updated automatically every week. A pipeline has been designed a pipeline to predict variants of interest (VOI) across the GISAID sequence dataset.
We present data tracking each non-synonymous mutation across continents by the week. Alongside this is a table that enables users to scrutinise each using our immunoanalytical metadata.
On top of this, we are developing a pipeline to visulise variants on 3D models to enable users to better understand their importnace.

Open Mutation Tracker


Step 1

Browse The Plot

Use the plot to browse the SARS-CoV-2 proteome. We have combined 7 useful analyses on a single medium to make it easier to spot regions that might be of interest to you. More information on how to use the tool is displayed after clicking one of the links below.

Take note of the amino-acid coordinates when you hover over a datapoint, you will need this for the following step!

Step 2

Raw Data Table

You can use this interactive table to find and extract the regions you are most interested in. You can select a protein in the dropdown menu and insert the amino-acid coordinated in the boxes at the top and the table will display all of the raw data used to build the plot.

You can the copy, print or download the data in CSV, MS Excel.

Step 3

Download and Analyse!

This tool was devoped by a multi-diciplinary team of bioinformaticians and lab-scientists to inform our own future experiments. We hope this do the same for yours.

Once you have a sequence you are intereted in, you can copy the amino-acid sequence from the raw data table and express, mutate, or perform further analysis


It'd be great if you could cite us if you've used this tool: https://doi.org/10.1186/s13073-020-00822-6