Python AGPL-3.0

covariants

Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

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hodcroftlab

Dernière activité 15 sept. 2026
hodcroftlab/covariants

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covid-19covid19mutationmutation-distributionnextstrainsars-cov-2sarscov2trackingvariants

Ce README est souvent en anglais.

CoVariants

SARS-CoV-2 Mutations and Variants of Interest

by Emma B. Hodcroft

Institute of Social and Preventive Medicine University of Bern, Bern, Switzerland & SIB Swiss Insitute of Bioinformatics, Switzerland


Visit covariants.org

An animated screen capture of the website covariants.org, showcasing the user interface and various pages


📜️ Citation

Emma B. Hodcroft. 2021. "CoVariants: SARS-CoV-2 Mutations and Variants of Interest." https://covariants.org/

Visit covariants.org


package.json version License

GitHub last commit GitHub commit activity GitHub contributors

Contributions: welcome


🤝 Contributing

The code used to generate data seen on CoVariants.org can be found in this repository, mostly in the scripts/ folder, and the code for the web application is in web/.

See Contributors Guide for more details.

📎 Terms of use

If you use this resource, or its derivatives, including data, code, screenshots an other, please do ensure you add credit in form of citation and/or link back to https://covariants.org

This work is enabled by data made available on GISAID. See the GISAID Terms of Use for more information about how this data can be used. Note that under the terms of use, data on GISAID cannot be redistributed.

This works is closely related to the Nextstrain project and uses Nexstrain builds and resulting data.

⚖️ License

Code and work: GNU AFFERO GENERAL PUBLIC LICENSE

CoVariants
Copyright 2020-2021 Emma Hodcroft

Screenshots: CC-BY-4.0


✨ Contributors

CoVariants is maintained by

Emma B. Hodcroft

Institute of Social and Preventive Medicine
University of Bern, Bern, Switzerland
& SIB Swiss Insitute of Bioinformatics, Switzerland

We are thankful to all our contributors, no matter how they contribute: in ideas, science, code, documentation or otherwise. Thanks goes to these wonderful people (emoji key):


Ivan Aksamentov

💻 🚇 📖 🎨

Richard Neher

💻 🔣 🖋 🤔

Trevor Bedford

🤔

james hadfield

💻 🎨 📖 🤔

Moira Zuber

💻 🔣

James Scott-Brown

🤔 💻 🎨

Theo Sanderson

🖋 💻 📖

babarlelephant

🖋

Jesse Bloom

🖋

Cornelius Roemer

🖋

acx01b

🖋

rasenschachmatt

🖋

Richard Goater

💻 🎨

Rajiv Shah

🖋

This project follows the all-contributors specification. Contributions of any kind welcome!

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