Nextstrain has two main parts:
First, let's take a look at how augur works.
At its core, augur is a collection of Python scripts, each of which handles one step in the bioinformatic analyses necessary for visualization with auspice.
As you might imagine, keeping track of the input and output files from each step individually can get very confusing, very quickly. So, to manage all of these steps, we use a workflow manager called snakemake.
Note: there are many other workflow managers out there, such as nextflow. While we fully encourage you to use whichever workflow tools you prefer, we only provide support and maintenance for snakemake.
Snakemake is an incredibly powerful workflow manager with many complex features. For our purposes, though, we only need to understand a few things:
Below is an illustration of each step in a standard Nextstrain analysis workflow. Dependencies (output files from one step that act as input to the next) are indicated by grey arrows. Input files which must be provided are indicated with red outlines. As you can see in yellow, the final output is a JSON file for visualization in auspice.
Required input files (e.g. the sequence data generated in the data preparation section, or other files which are part of this repo) are indicated with red outlines. We'll walk through each of these in detail in the next section.
We encourage you to take a look at
main_workflow.smk to see what each rule is doing in more detail.
Note: Not all of the rules included are essential, or may even be desirable for your analysis. Your build may be able to be made a lot simpler, depending on your goals.
The components in this diagram constitute a Nextstrain "build" -- i.e., a set of commands, parameters and input files which work together to reproducibly execute bioinformatic analyses and generate a JSON for visualization with auspice. You can learn more about builds here.
Builds are particularly important if you frequently want to run several different analysis workflows or datasets. For example, if you wanted to run one analysis on just your data and another analysis that incorporates background / contextual sequences, you could configure two different builds (one for each of these workflows). We'll cover this in more detail in the basic build configuration section.