Agent skill · Data & Analytics

bio-expression-matrix-counts-ingest

Load gene expression count matrices from various formats including CSV, TSV, featureCounts, Salmon, kallisto, and 10X. Use when importing quantification results for downstream analysis.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill counts-ingest --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 13 KB
Bundled scripts: yes
Path: skills/bioskills/counts-ingest/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: pandas 2.2+, tximport 1.30+, tximeta 1.20+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Count Matrix Ingestion ## Expression Units Decision Table | Unit | Source | Use for DE | Use for visualization | Cross-sample comparison | |------|--------|------------|----------------------|------------------------| | Raw counts | featureCounts, HTSeq, STAR | Yes (DE tools normalize internally) | No | No | | Estimated counts | Salmon, kallisto (via tximport) | Yes (with offset correction) | No | No | | TPM | Salmon, kallisto | No | Within-sample gene comparison | Partially (same composition caveat) | | FPKM/RPKM | Cufflinks, legacy tools | No | Within-sample only | No (composition bias) | | Normalized counts | DESeq2, edgeR | Via DE tool | Prefer VST/rlog | Yes | For differential expression, a

What's inside
Steps it walks through
  1. Version Compatibility
  2. Expression Units Decision Table
  3. Transcript-Level vs Gene-Level Quantification
  4. Basic CSV/TSV Loading
  5. featureCounts Output
  6. Salmon Quant Files
  7. STAR ReadsPerGene Files
  8. HTSeq Count Files
  9. kallisto Abundance Files
  10. 10X Genomics Sparse Matrix
  11. AnnData H5AD Files
  12. RDS Files (from R)
  13. Combine Multiple Files
  14. Filter Low-Count Genes
Ships with 2 files
  • examples/load_counts.py
  • usage-guide.md
More from awesome-bio-agent-skills
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About this skill
What does the bio-expression-matrix-counts-ingest skill do?

Load gene expression count matrices from various formats including CSV, TSV, featureCounts, Salmon, kallisto, and 10X. Use when importing quantification results for downstream analysis.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill counts-ingest --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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