bio-metabolomics-lipidomics
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSear…
Maintainer FreedomIntelligence · Last updated April 1, 2026
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.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-proteomics-protein-inference
Skill Snapshot
Source Doc
Peptides can map to multiple proteins (shared peptides), making protein identification ambiguous.
## Parsimony Principle
**Goal:** Resolve protein identification ambiguity from shared peptides by finding the minimal protein set explaining all observed peptides.
**Approach:** Build a peptide-to-protein mapping, then greedily select proteins that cover the most unassigned peptides until all peptides are accounted for, producing a minimal explanatory protein list.
## pyOpenMS Protein Inference
```python
from pyopenms import ProteinIdentification, PeptideIdentification
from pyopenms import BasicProteinInferenceAlgorithm
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