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This snakemake automates setup of configs and running preprocessing steps on a multiome library.

Before running update the following:

  1. You may need to modify make-config-rna.py and make-config-atac.py to appropriately parse the fastq file names. The naming conventions differ over time and with different sequencing cores.
  2. Run the pipeline. Add -n after snakemake all to perform a dry run.
module load snakemake/7.32.4
snakemake all --jobname "{jobid}" \
    --cores 1 \
	--keep-going \
	--rerun-incomplete \
	--printshellcmds > snakemake.log 2>&1 &

When the nextflow pipelines have completed on all libraries, you can extract important output using the following. This will put primary results in a directory called "keep". Now you can delete the nextflow 'work' directory and free up a lot of disk space.

#first create the cleanup script -- creates a slurm script: work/multiome-atac/cleanup.slurm
bash scripts/cleanup-atac.sh
bash scripts/cleanup-rna.sh

#now run it (inspect it first to make sure paths are correct)
cd work/multiome-atac
sbatch cleanup.slurm > cleanup.submitted

cd work/multiome-rna
sbatch cleanup.slurm > cleanup.submitted

A note about version control. If you clone this repository to your workspace, the snRNAseq-nextflow and snATACseq-nextflow pipelines will not be remotely connected to the source github repositories. Below are the versions of the repositories that are currently included. For more updated versions or to keep track of changes in these repositories, replace them with clones directly from the source repositories.