Nextstrain’s focus on providing a real-time snapshot of evolving pathogen populations necessitates reproducible analysis that can be rerun when new sequences are available. The individual steps necessary to repeat analysis together comprise a “build”.
Because no two datasets or pathogens are the same, we build augur to be flexible and suitable for different analyses. The individual augur commands are composable, and can be mixed and matched with other scripts as needed. These steps, taken together, are what we refer to as a “build”.
The zika virus tutorial describes a build which contains the following steps:
and each of these can be run via a separate
While it would be possible to run a build by running each of the individual steps — they’re just self-contained commands after all — we typically group these together into a make-type file. Snakemake is “a tool to create reproducible and scalable data analyses… via a human readable, Python based language.”
Snakemake is installed as part of the conda environment or the docker container. If you ever see a build which has a “Snakefile” then you can run this simply by typing
nextstrain build ., respectively.
Have a look at some of the tutorials (listed in the sidebar).
Each one will use a slightly different combination of
augur commands depending on the pathogen.
Read about how to customize a build
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, Allison Black, David Blazes, Peter Bogner, Matt Cotten, Ana Crisan, Gytis Dudas, Vivien Dugan, Karl Erlandson, Nuno Faria, Jennifer Gardy, Becky Garten, Dylan George, Ian Goodfellow, Nathan Grubaugh, Betz Halloran, Christian Happi, Jeff Joy, Paul Kellam, Philippe Lemey, Nick Loman, Sebastian Maurer-Stroh, Louise Moncla, Oliver Pybus, Andrew Rambaut, Colin Russell, Pardis Sabeti, Katherine Siddle, Kristof Theys, Dave Wentworth, Shirlee Wohl and Nathan Yozwiak for comments, suggestions and data sharing.
© 2015-2019 Trevor Bedford and Richard Neher