Agent skill

bio-proteomics-protein-inference

Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and protein-level FDR control using parsimony and probabilistic approaches.

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bio-proteomics-protein-inference/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: pyOpenMS 3.1+ 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. # Protein Inference **"Resolve protein groups from my peptide identifications"** → Group peptide-spectrum matches into protein groups, resolving shared-peptide ambiguity using parsimony or probabilistic methods, then apply protein-level FDR. - Python: `pyopenms.ProteinInference()` for parsimony-based grouping - R: Bioconductor protein inference workflows ## The Protein Inference Problem Peptides can map to multiple proteins (shared peptides), making protein identification ambiguous. ```python # Example: Peptide mapping peptide_to_proteins = { 'PEPTIDEK': ['P12345', 'P67890'], # Shared between paralogs 'UNIQUER': ['P12345'], # Unique to P12345 'ANOTHERONE': ['P12345'], # Unique to P12345 'SHAREDK': ['P67890', 'P11111'], # Shar

What's inside
Steps it walks through
  1. Version Compatibility
  2. The Protein Inference Problem
  3. Parsimony Principle
  4. Protein Groups
  5. pyOpenMS Protein Inference
  6. R: Protein Inference with ProteinInference
  7. Protein-Level FDR
  8. Related Skills
Ships with 2 files
  • examples/protein_groups.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-proteomics-protein-inference skill do?

Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and protein-level FDR control using parsimony and probabilistic approaches.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-protein-inference --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.

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