We want to enable research labs, public health entities and others to share their datasets and narratives through Nextstrain with complete control of their data and audience. Nextstrain Groups is more scalable than community builds in both data storage and viewing permissions. Datasets in a public group are accessible to the general public via nextstrain.org, while private group data are only visible to logged in users with permission to see the data. A single entity can manage both a public and a private group in order to share data with different audiences.
For more details about Nextstrain Groups, please see our documentation. For an alternative approach to sharing data through nextstrain.org which leverages GitHub repositories, please see Community data sharing.
Nextstrain Groups is still in the early stages and require a Nextstrain team member to set up and add users. Please contact us at firstname.lastname@example.org and we’d be happy to set up a group for you.
Click on any tile to view the different datasets and narratives available for that group. These groups are all public, to see private groups please log in.
Note that this listing is refreshed every ~6 hours. To see a current listing, visit the page for that group by clicking on that group's tile, above.
This work is made possible by the open sharing of genetic data by research groups from all over the world. We gratefully acknowledge their contributions. Special thanks to Kristian Andersen, Josh Batson, David Blazes, Jesse Bloom, Peter Bogner, Anderson Brito, Matt Cotten, Ana Crisan, Tulio de Oliveira, Gytis Dudas, Vivien Dugan, Karl Erlandson, Nuno Faria, Jennifer Gardy, Nate Grubaugh, Becky Kondor, Dylan George, Ian Goodfellow, Betz Halloran, Christian Happi, Jeff Joy, Paul Kellam, Philippe Lemey, Nick Loman, Duncan MacCannell, Erick Matsen, Sebastian Maurer-Stroh, Placide Mbala, Danny Park, Oliver Pybus, Andrew Rambaut, Colin Russell, Pardis Sabeti, Katherine Siddle, Kristof Theys, Dave Wentworth, Shirlee Wohl and Cecile Viboud for comments, suggestions and data sharing.