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(name) : Pangenomics Snakemake Workflow

Snakemake

Environment Setup

Snakemake is best installed via the Mamba package manager (a drop-in replacement for conda). If you have neither Conda nor Mamba, it can be installed via Mambaforge. For other options see here.

Given that Mamba is installed, run the following command to make a conda environment including snakemake, singularity, and GNU parallel. Activate your environment.

mamba create -c conda-forge -c bioconda --name snakemake snakemake singularity parallel

mamba activate snakemake

If you would rather not use mamba, conda works fine too

conda create -c conda-forge -c bioconda --name snakemake snakemake singularity parallel

conda activate snakemake

Ensure your snakemake version is > 7.0.0! Try mamba update snakemake if it is the incorrect version.

Clone directory

First, create an appropriate project working directory on your system and enter it:

mkdir -p path/to/project-workdir
cd path/to/project-workdir

In all following steps, we will assume that you are inside of that directory.

Second, run

git clone https://github.com/emmaewade/pangenome-workflow . 

Two folders, workflow and config, will be downloaded to your current directory. Workflow contains the Snakefile aka a file of rules or the "control center" of the workflow, a folder of needed scripts, and a folder of input files for practice. Config contains files for cluster control and config.yaml. Config.yaml will be editted later to configure the workflow.

Configuration

The workflow is given six arguments:

outname : output files will be put in the directory directory/outname

accortaxon : specifies whether the given filename contains a list of accession numbers or taxon IDs. options: accession or taxonomy

filename : a new line delimited file of accession numbers or NCBI taxonomy IDs

only_download_complete_genomes : will limit the downloaded assemblies to assembly_level=complete genome. if t options: t or f

only_download_latest : will limit the downloaded assemblies to version=latest if t. options: t or f

roary_command : command fed to roary. example: '-r -p 30 -e --mafft -i 80 -cd 80 -f'

Arguments, wanted cores, and job resources can be adjusted in the configuration file config/config.yaml .

Running

After configuration, the workflow can be run by

snakemake --profile config/  

or command line arguments can override those in config/config.yaml like so:

snakemake --profile config/  \
    --config \
        outname=taxonomy_test \
        accortaxon=taxonomy \
        filename=workflow/testing-files/taxons.txt \
        only_download_complete_genomes=f \
        only_download_latest=t \
        roary_command='-r -p 30 -e --mafft -i 80 -cd 80 -f'

To submit jobs to a job manager like SLURM, uncomment and adjust the SLURM job submission lines in config/config.yaml appropriate to your cluster. Then edit (if necessary) and make the config/parseJobID.sh config/status-saact.sh files executable:

chmod +x config/parseJobID.sh config/status-sacct.sh 

Run the workflow with the same commands as above. This time they will be submitted to your job manager.

A few example commands are available in workflow/testing-commands.sh for practice.

Output

After the workflow parses taxonomies (if necessary), downloads GBFF files, processes GFF and FASTA files, and runs ABySS and Roary, a number of files and directories will be created in the output directory results/outname.

  • abyss_fac_output.txt : output of abyss-fac analysis on FASTA files
  • gbff-downloads : folder of downloaded gbff files
  • master_abyss.csv : file joining master.tsv and abyss_fac_output.txt, useful for downstream analysis
  • NCBI-gbff-accessions-not-downloaded.txt : file of gbff accessions not downloaded, could be processing issues or if gbff file doesn't exist
  • roary : folder of roary log files
  • species.csv : file containing taxonomy ids (not necessarily species) that will be parsed for
  • for_download.txt : file of ftp paths
  • incomplete_files : folder of gbff files that were not completely downloaded, common when downloading a large number of files
  • master.tsv : file of useful assembly information
  • processed_files : folder of processed GFF3 and FASTA files
  • roary_%number% : roary output directory
  • summaries : folder of files used mainly to connect workflow rules

Additionally assembly_summary_genbank.txt , assembly_summary_refseq.txt, names.dmp, and nodes.dmp will be downloaded into workflow/data after the first run. These are heavy files and can be deleted in between or after running.

Citations

  1. ABySS:
  2. Bit Package:
  3. GNU Parallel:
  4. Roary:
  5. Snakemake:

Please cite XXX at DOI: