Running the analysis

Run with --use-conda

If all the paths and individual configurations are defined in the config.yaml file (see configuration) and conda is available (see managing software), the workflow can be run from the command line with

snakemake --use-conda

Snakemake will create a conda environment from the envs/environment.yaml file and it will activate the environment before executing all rules with the conda directive. If you are an experienced conda user, you can specify a different environment for each rule within the Snakefile, and the correct environment will be activated.

If you want to use multiple cores, just do

snakemake --use-conda --cores 12

Run from a different directory

First make sure the paths to all your input files are specified correctly in the config.yaml (see here). Relative paths will be interpreted relative to the Snakefile directory! To run the workflow outside of the folder containing the Snakefile (and all the scripts), specify the Snakefile path, and the path to the folder containing this file

snakemake --use-conda -s <path-to-Snakefile> -d <workdir>

Where workdir is the directory of the Snakefile

Run by specifying the config.yaml

If you want to use a config.yaml file that is not located in the Snakefile directory, you can specify it with the --configfile parameter. Run the workflow from the Snakefile directory with

snakemake --use-conda --configfile <path-to-config.yaml>

Or see above for how to run the workflow from an arbitrary directory.

Run by manually creating a conda environment

After setting up your conda environment and system R installation (as described here), activate the environment and from within the environment run the pipeline with snakemake. For multiple cores use snakemake --cores 12

Run without conda

In case you have all the necessary software in your path (see here) and you don't want to use conda, simply run the workflow without the --use-conda parameter:

snakemake