bio-proteomics-ptm-analysis
Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-ptm-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: numpy 1.26+, pandas 2.2+, scipy 1.12+ 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. # Post-Translational Modification Analysis **"Analyze phosphorylation sites from my proteomics data"** → Identify and quantify post-translational modifications including phosphorylation, acetylation, and ubiquitination with site localization and motif analysis. - Python: `pyopenms` for PTM-aware search, `scipy` for site-level statistics - CLI: MaxQuant with variable modifications for enrichment-based PTM analysis ## Common PTMs and Mass Shifts ```python PTM_MASSES = { 'Phosphorylation': 79.966331, # STY 'Oxidation': 15.994915, # M 'Acetylation': 42.010565, # K, N-term 'Methylation': 14.015650, # KR 'Dimethylation': 28.031300, # KR 'Trimethylation': 42.046950, # K 'Ubiquitination': 114.042927, # K (GlyG
- Version Compatibility
- Common PTMs and Mass Shifts
- Processing MaxQuant PTM Output
- Site Localization Scoring
- Motif Analysis
- R: Site-Level Quantification with MSstatsPTM
- Related Skills
What does the bio-proteomics-ptm-analysis skill do?
Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-ptm-analysis --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.