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data-io-and-export

data-io-and-export

Load, save, convert, and export pySCENIC expression matrices, signatures, AUCell metadata, SCope loom files, AnnData annotations, and regulon GraphML.

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Documentation de la Skill

GitHub

name: data-io-and-export description: "Load, save, convert, and export pySCENIC expression matrices, signatures, AUCell metadata, SCope loom files, AnnData annotations, and regulon GraphML." disable-model-invocation: true metadata: disco-role: operating license: GPL 3.0

Data I/O And Export

Use this sub-skill when a task needs pySCENIC file loading, matrix orientation checks, CSV/TSV-to-loom conversion, AUCell metadata append/export, SCope-ready loom preparation, AnnData metadata insertion, or regulon GraphML export.

Route Here

  • Load or save expression, AUC, adjacency, module, signature, enriched-motif, loom, or h5ad-compatible data with pySCENIC utilities.
  • Decide whether CSV/TSV inputs are cells x genes or genes x cells, when to use transpose flags, and how extension-based separators behave.
  • Convert a tiny or production expression matrix to loom with csv2loom or the Python loader/writer APIs.
  • Append AUCell/regulon metadata into an existing loom file, or export SCope-compatible loom content with embeddings, thresholds, tree metadata, and regulon membership.
  • Add SCENIC metadata to an AnnData object or export regulons as GraphML.

Route Elsewhere

  • Interpret AUCell values, tune AUCell thresholds, or binarize activity matrices with ../aucell-and-binarization/SKILL.md.
  • Explain motif pruning, regulon creation semantics, enriched motif table meaning, or module pruning with ../motif-pruning-and-regulons/SKILL.md.
  • Build full CLI/container execution recipes, scheduler commands, or container mount plans with ../cli-and-containers/SKILL.md.
  • Infer GRN adjacencies, add TF-target correlations, or create unpruned modules with ../network-inference/SKILL.md.

Read First

  • API reference lists the loader, writer, converter, loom/AnnData export, and GraphML contracts.
  • Data formats explains supported extensions, orientation, loom attributes, SCope metadata, AnnData placement, and output schemas.
  • Troubleshooting covers separator mistakes, transpose errors, optional dependencies, loom metadata, h5ad caveats, SCope constraints, extension errors, and legacy entry-point discrepancies.
  • I/O format probe creates tiny CSV/TSV fixtures, checks load/save orientation, and optionally checks loom support when installed dependencies allow it.

Safe Starting Point

python scripts/io_format_probe.py --help
python scripts/io_format_probe.py

For real data, keep Python API expression matrices as cells x genes. Use transpose options only when a text file is stored genes x cells. Loom files are stored rows=genes and columns=cells but are loaded back as cells x genes by pySCENIC.

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