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This workflow performs trimming, alignment, and generates BigWig and BED files for CUT&Tag data. The workflow is optimized for the HPC environment at Van Andel Institute, but it can be easily modified for general use on other systems.

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CUT&Tag workflow

Usage

NOTE This workflow is optimized for the HPC @ Van Andel Institute.

Step 1: Configure the workflow

  • Move your fastq sequences to raw_data/
  • Look over the config file under bin/, make sure the references are correct. Do not change modules.
  • Set up the sample sheet (samples.tsv). You may find it helpful to run ./make_samples_template.sh from inside the bin/ subdirectory to get a template file based on the files in raw_data/. The columns are:
    • sample - Name of the sample. Fastqs will be renamed to this.
    • control - You can use 'NA'. Leaving it blank should also be fine.
    • fq1 - Name of read1 fastq
    • fq2 - Name of read2 fastq
    • sample_group - You can use the same information as sample column.
  • If you used make_samples_template.sh, you need to rename the generated template file to "samples.tsv".

Step 2: Run the workflow

  • From the root directory of the project (where Snakefile is located), run sbatch bin/run_snakemake.sh.

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This workflow performs trimming, alignment, and generates BigWig and BED files for CUT&Tag data. The workflow is optimized for the HPC environment at Van Andel Institute, but it can be easily modified for general use on other systems.

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