Command-line execution of Snakemake is handled by ATLAS, however, a user can still opt to use Snakemake outside of the ATLAS command line interface.
When executing a command from
atlas, the first line of output will include
the snakemake command. For example, if we are getting started and need to
download the databases, we execute:
atlas download --jobs 1 --out-dir metaomics/references
Here is the abbreviated output from the above command:
[2017-06-30 11:48 INFO] Executing: snakemake -s /people/brow015/anaconda3/lib/python3.5/site-packages/atlas/Snakefile -d /pic/projects/mint/metaomics -p -j 1 --nolock --rerun-incomplete --config db_dir='/pic/projects/mint/metaomics/references' workflow=download -- Provided cores: 1 Rules claiming more threads will be scaled down. Job counts: count jobs 1 all 6 transfer_files 7 rule transfer_files: output: /pic/projects/mint/metaomics/references/silva_rfam_all_rRNAs.fa jobid: 1 wildcards: filename=silva_rfam_all_rRNAs.fa curl 'https://zenodo.org/record/804435/files/silva_rfam_all_rRNAs.fa' -s > /pic/projects/mint/metaomics/references/silva_rfam_all_rRNAs.fa ... 6 of 7 steps (86%) done localrule all: input: /pic/projects/mint/metaomics/references/adapters.fa, /pic/projects/mint/metaomics/references/phiX174_virus.fa, /pic/projects/mint/metaomics/references/silva_rfam_all_rRNAs.fa, /pic/projects/mint/metaomics/references/refseq.tree, /pic/projects/mint/metaomics/references/refseq.dmnd, /pic/projects/mint/metaomics/references/refseq.db jobid: 0 Finished job 0. 7 of 7 steps (100%) done All databases have downloaded and validated successfully. When generating your configuration file, use '--database-dir /pic/projects/mint/metaomics/references'
We can see that the workflow being utilized is:
So any later or more complex use cases can simply call
--snakefile for their local instance.
Extra arguments on the command line are passed directly into the snakemake
call, so even within
atlas assemble we can do things like:
atlas assemble --jobs 24 --out-dir test-dir config.yaml --summary
This results in the call of:
snakemake -s /anaconda3/lib/python3.5/site-packages/atlas/Snakefile \ -d /pic/projects/mint/metaomics/results/subset \ -p -j 24 --rerun-incomplete \ --configfile config.yaml \ --nolock \ --use-conda \ --config workflow=complete \ --summary
The output gives details per output file, which rule created the file, the creation date, and other information that is relevant to the file’s creation.
--detailed-summary adds columns for input file as well as the
shell command that was used.