niekwit/cut_and_run

Snakemake workflow for Cut & Run

Overview

Topics: bioinformatics ngs-analysis snakemake snakemake-workflow

Latest release: v0.5.0, Last update: 2024-06-17

Linting: linting: failed, Formatting:formatting: failed

Deployment

Step 1: Install Snakemake and Snakedeploy

Snakemake and Snakedeploy are best installed via the Mamba package manager (a drop-in replacement for conda). If you have neither Conda nor Mamba, it is recommended to install Miniforge. More details regarding Mamba can be found here.

When using Mamba, run

mamba create -c conda-forge -c bioconda --name snakemake snakemake snakedeploy

to install both Snakemake and Snakedeploy in an isolated environment. For all following commands ensure that this environment is activated via

conda activate snakemake

Step 2: Deploy workflow

With Snakemake and Snakedeploy installed, the workflow can be deployed as follows. 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. Then run

snakedeploy deploy-workflow https://github.com/niekwit/cut_and_run . --tag v0.5.0

Snakedeploy will create two folders, workflow and config. The former contains the deployment of the chosen workflow as a Snakemake module, the latter contains configuration files which will be modified in the next step in order to configure the workflow to your needs.

Step 3: Configure workflow

To configure the workflow, adapt config/config.yml to your needs following the instructions below.

Step 4: Run workflow

The deployment method is controlled using the --software-deployment-method (short --sdm) argument.

To run the workflow with automatic deployment of all required software via conda/mamba, use

snakemake --cores all --sdm conda

Snakemake will automatically detect the main Snakefile in the workflow subfolder and execute the workflow module that has been defined by the deployment in step 2.

For further options such as cluster and cloud execution, see the docs.

Step 5: Generate report

After finalizing your data analysis, you can automatically generate an interactive visual HTML report for inspection of results together with parameters and code inside of the browser using

snakemake --report report.zip

Configuration

The following section is imported from the workflow’s config/README.md.

Describe how to configure the workflow (using config.yaml and maybe additional files). All of them need to be present with example entries inside of the config folder.

Linting and formatting

Linting results

/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/scripts/general_functions.smk:139: SyntaxWarning: invalid escape sequence '\d'
  if not re.match(".*_[\d]$", sample):
/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/scripts/general_functions.smk:210: SyntaxWarning: invalid escape sequence '\d'
  conditions = list(set(re.sub("_[\d]$", "", x) for x in csv["sample"].tolist()))
Traceback (most recent call last):

  File "/home/runner/micromamba-root/envs/snakemake-workflow-catalog/lib/python3.12/site-packages/snakemake/cli.py", line 1986, in args_to_api
    any_lint = workflow_api.lint()
               ^^^^^^^^^^^^^^^^^^^

  File "/home/runner/micromamba-root/envs/snakemake-workflow-catalog/lib/python3.12/site-packages/snakemake/api.py", line 337, in _handle_no_dag
    return method(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/home/runner/micromamba-root/envs/snakemake-workflow-catalog/lib/python3.12/site-packages/snakemake/api.py", line 354, in lint
    workflow.include(

  File "/home/runner/micromamba-root/envs/snakemake-workflow-catalog/lib/python3.12/site-packages/snakemake/workflow.py", line 1398, in include
    exec(compile(code, snakefile.get_path_or_uri(), "exec"), self.globals)


... (truncated)

Formatting results

[DEBUG] 
[WARNING] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/Snakefile":  Keyword "input" at line 48 has comments under a value.
	PEP8 recommends block comments appear before what they describe
(see https://www.python.org/dev/peps/pep-0008/#id30)
[DEBUG] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/Snakefile":  Formatted content is different from original
[DEBUG] 
[DEBUG] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/trimming.smk":  Formatted content is different from original
[DEBUG] 
[DEBUG] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/plotting.smk":  Formatted content is different from original
[DEBUG] 
[DEBUG] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/deduplication.smk":  Formatted content is different from original
[DEBUG] 
[WARNING] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/peaks.smk":  Keyword "output" at line 15 has comments under a value.
	PEP8 recommends block comments appear before what they describe
(see https://www.python.org/dev/peps/pep-0008/#id30)
[WARNING] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/peaks.smk":  Keyword "output" at line 72 has comments under a value.
	PEP8 recommends block comments appear before what they describe
(see https://www.python.org/dev/peps/pep-0008/#id30)
[WARNING] In file "/tmp/tmpyuafcsbn/niekwit-cut_and_run-dd734ee/workflow/rules/peaks.smk":  Keyword "output" at line 133 has comments under a value.
	PEP8 recommends block comments appear before what they describe

... (truncated)