These tutorials are both command line tutorials that should work on Mac OS X and Linux. They require about 5 GB of disk space and 5 GB of RAM.
These next three tutorials are all notebooks that you can view, run yourself, or run interactively online via the binder service.
If you are a Python programmer, you might also be interested in our API examples as well as a short guide to Using the LCA_Database
API.
If you prefer R, we have a short guide to using sourmash output with R.
If you're interested in customizing the output of sourmash plot
,
which produces comparison matrices and dendrograms, please see
Building plots from sourmash compare
output.
:maxdepth: 2
tutorial-basic
tutorials-lca
kmers-and-minhash
sourmash-examples
sourmash-collections
api-example
using-LCA-database-API
other-languages