数据与复现蛋白质组与代谢组FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
BI

bio-proteomics-protein-inference

维护者 FreedomIntelligence · 最近更新 2026年4月1日

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.

OpenClawNanoClaw分析处理复现实验bio-proteomics-protein-inference🧬 bioinformatics (gptomics bio-* suite)bioinformatics — proteomics & metabolomicsprotein

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-proteomics-protein-inference

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Python:pyopenms.ProteinInference() ,用于 parsimony-based grouping。
  • R:Bioconductor protein inference workflows。
  • Resolve protein groups ,面向 my peptide identifications" → Group peptide-spectrum matches into protein groups,resolving shared-peptide ambiguity ,使用 parsimony 或 probabilistic methods,then apply protein-level FDR. Python:pyopenms.ProteinInference() ,用于 parsimony-based grouping R:Bioconductor protein inference workflows。
  • peptide_to_proteins = { 'PEPTIDEK':['P12345','P67890'],# Shared between paralogs 'UNIQUER':['P12345'],# Unique to P12345 'ANOTHERONE':['P12345'],# Unique to P12345 'SHAREDK':['P67890','P11111'],# Shared }。

原始文档

SKILL.md 摘录

The Protein Inference Problem

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

适用场景

  • 适合在resolving protein ambiguity ,面向 shared peptides时使用。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

上游相关技能

  • peptide-identification - Input for protein inference
  • quantification - Quantify inferred proteins
  • database-access/uniprot-access - Protein annotations

相关技能

相关技能

返回目录
BI
数据与复现蛋白质组与代谢组

bio-metabolomics-lipidomics

Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipid…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
数据与复现蛋白质组与代谢组

bio-metabolomics-metabolite-annotation

Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
数据与复现蛋白质组与代谢组

bio-metabolomics-msdial-preprocessing

MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and expor…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
数据与复现蛋白质组与代谢组

bio-metabolomics-pathway-mapping

Map metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看