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add alphapepttools to scverse ecosystem (#351)
* add alphapepttools meta and logo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add fix for validating bioconductor packages * add check for bioconductor packages to validate_registry.py * add check for bioconductor packages to validate_registry.py * Silence complexity flag from linter on validate_packages function * rename logo file, switch License identifier to correct syntax * rename logo in meta.yaml * replace logo with svg * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * replace logo with svg * Update packages/alphapepttools/meta.yaml --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Gregor Sturm <mail@gregor-sturm.de>
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packages/alphapepttools/meta.yaml

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name: AlphaPeptTools
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description: |
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AnnData-based downstream proteomics analysis package with comprehensive support of search engine report formats.
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AlphaPeptTools features an `io` module for loading and standardizing MS-proteomics data, as well as `pp`, `pl`, `tl` and `metrics`
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modules to facilitate common proteomics-specific data processing, visualization and analysis tasks with a focus on metrics for
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evaluating the effect of different processing steps. Additionally, it features several example notebooks to demonstrate different
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proteomics use cases.
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project_home: https://github.com/MannLabs/alphapepttools
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documentation_home: https://mannlabs.github.io/alphapepttools/index.html
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tutorials_home: https://github.com/MannLabs/alphapepttools/tree/main/docs/notebooks
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install:
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pypi: alphapepttools
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tags:
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- proteomics
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- annotated data
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- best practices
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license: Apache-2.0
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version: 0.2.0
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contact:
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- vbrennsteiner
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- lucas-diedrich
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- mschwoer
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logo: logo.svg
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category: ecosystem

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