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feat: Rseqc read duplication (#2731)
<!-- Ensure that the PR title follows conventional commit style (<type>: <description>)--> <!-- Possible types are here: https://github.com/commitizen/conventional-commit-types/blob/master/index.json --> <!-- Add a description of your PR here--> This PR adds [RSeQC read_duplication](https://rseqc.sourceforge.net/#read-duplication-py) to the list of available wrappers. ### QC <!-- Make sure that you can tick the boxes below. --> * [X] I confirm that: For all wrappers added by this PR, * there is a test case which covers any introduced changes, * `input:` and `output:` file paths in the resulting rule can be changed arbitrarily, * either the wrapper can only use a single core, or the example rule contains a `threads: x` statement with `x` being a reasonable default, * rule names in the test case are in [snake_case](https://en.wikipedia.org/wiki/Snake_case) and somehow tell what the rule is about or match the tools purpose or name (e.g., `map_reads` for a step that maps reads), * all `environment.yaml` specifications follow [the respective best practices](https://stackoverflow.com/a/64594513/2352071), * the `environment.yaml` pinning has been updated by running `snakedeploy pin-conda-envs environment.yaml` on a linux machine, * wherever possible, command line arguments are inferred and set automatically (e.g. based on file extensions in `input:` or `output:`), * all fields of the example rules in the `Snakefile`s and their entries are explained via comments (`input:`/`output:`/`params:` etc.), * `stderr` and/or `stdout` are logged correctly (`log:`), depending on the wrapped tool, * temporary files are either written to a unique hidden folder in the working directory, or (better) stored where the Python function `tempfile.gettempdir()` points to (see [here](https://docs.python.org/3/library/tempfile.html#tempfile.gettempdir); this also means that using any Python `tempfile` default behavior works), * the `meta.yaml` contains a link to the documentation of the respective tool or command, * `Snakefile`s pass the linting (`snakemake --lint`), * `Snakefile`s are formatted with [snakefmt](https://github.com/snakemake/snakefmt), * Python wrapper scripts are formatted with [black](https://black.readthedocs.io). * Conda environments use a minimal amount of channels, in recommended ordering. E.g. for bioconda, use (conda-forge, bioconda, nodefaults, as conda-forge should have highest priority and defaults channels are usually not needed because most packages are in conda-forge nowadays). --------- Co-authored-by: tdayris <tdayris@gustaveroussy.fr> Co-authored-by: tdayris <thibault.dayris@gustaveroussy.fr> Co-authored-by: Johannes Köster <johannes.koester@uni-due.de> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: snakedeploy-bot[bot] <115615832+snakedeploy-bot[bot]@users.noreply.github.com> Co-authored-by: Felix Mölder <felix.moelder@uni-due.de> Co-authored-by: Christopher Schröder <christopher.schroeder@tu-dortmund.de>
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Mar 8, 2024
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