Nextstrain Community: Data Sharing via GitHub

We allow researchers to share their analyses through by storing the results of their analysis in their own GitHub repositories. This gives you complete control, ownership, and discretion over your data; there is no need to get in touch with the Nextstrain team to share your data this way. For more details, including instructions on what file formats and naming conventions to use, please see our documentation.

The table below contains Datasets and Narratives which have been made publicly available. To add yours to the table below please make a Pull Request to add it to this file.For further details about the analyses below, please contact the authors.

P.S. For an alternative approach to sharing data through which is allows larger datasets and/or private data sharing, see Scalable Sharing with Nextstrain Groups.

Hadfield et al., Nextstrain: real-time tracking of pathogen evolution, Bioinformatics (2018)

All source code is freely available under the terms of the GNU Affero General Public License. Screenshots may be used under a CC-BY-4.0 license and attribution to must be provided.

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.

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