Контроль качества данных single-cell RNA-seq

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single-cell-rna-qc is a Claude Code skill that automates quality control for single-cell RNA-seq data from .h5ad and .h5 files, following scverse best practices with MAD-based outlier filtering and comprehensive visualizations. The complete pipeline runs via `scripts/qc_analysis.py` and produces five outputs: three PNG plots showing metrics before and after filtering, a filtered dataset, and the original data with QC annotations preserved. For non-standard workflows, modular functions from `qc_core.py` and `qc_plotting.py` allow skipping steps, applying different thresholds to cell subsets, or integrating QC into a larger analysis pipeline. It is built for bioinformaticians who need to remove low-quality cells and prepare data for downstream scanpy-based analysis.