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<!-- 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 --> Refactored the wrapper to be able to work with haplotype sampled pangenome graphs. ### QC <!-- Make sure that you can tick the boxes below. --> * [x] I confirm that I have followed the [documentation for contributing to `snakemake-wrappers`](https://snakemake-wrappers.readthedocs.io/en/stable/contributing.html). While the contributions guidelines are more extensive, please particularly ensure that: * [x] `test.py` was updated to call any added or updated example rules in a `Snakefile` * [x] `input:` and `output:` file paths in the rules can be chosen arbitrarily * [x] wherever possible, command line arguments are inferred and set automatically (e.g. based on file extensions in `input:` or `output:`) * [x] 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 * [x] the `meta.yaml` contains a link to the documentation of the respective tool or command under `url:` * [x] conda environments use a minimal amount of channels and packages, in recommended ordering <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Updated output file naming and bundling for genome resources, offering clearer organization of results. - Enhanced command construction for processing with new input parameters for haplotypes and kmer counts. - **Refactor** - Streamlined processing by adjusting how optional mapping parameters are handled and enhancing command construction. - **Chores** - Removed an obsolete genomic sequence entry from the reference data. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
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