Agent skill

bio-differential-splicing

Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-differential-splicing --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bio-differential-splicing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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: STAR 2.7.11+, pandas 2.2+ 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 - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Differential Splicing Detect differential alternative splicing events between experimental conditions. ## Tool Comparison | Tool | Input | Approach | Strengths | |------|-------|----------|-----------| | rMATS-turbo | BAM | Junction counting | Novel junctions, statistical model | | SUPPA2 | TPM | Transcript ratios | Speed, isoform-aware | | leafcutter | BAM | Intron clustering | Novel events, no annotation bias | ## rMATS-turbo Analysis **Goal:** Detect statistically significant differential splicing events between two conditions from BAM files. **Approach:** Run rMATS-turbo on condition-grouped BAMs, then filter results by FDR and delta PSI thresho

What's inside
Steps it walks through
  1. Version Compatibility
  2. Tool Comparison
  3. rMATS-turbo Analysis
  4. SUPPA2 Differential Analysis
  5. leafcutter Analysis
  6. Significance Thresholds
  7. Result Prioritization
  8. Related Skills
Ships with 3 files
  • examples/diff_splicing_leafcutter.R
  • examples/diff_splicing_rmats.sh
  • usage-guide.md
Commands it runs
Create sample lists (one BAM path per line)
rmats.py \
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-differential-splicing skill do?

Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-differential-splicing --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.

Keep going