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
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.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-proteomics-ptm-analysis
Skill Snapshot
Source Doc
Goal: Extract high-confidence phosphorylation sites from MaxQuant output with proper filtering and site annotation.
Approach: Load the Phospho(STY)Sites table, remove reverse hits and contaminants, filter by localization probability, and construct gene-level site identifiers.
import pandas as pd
import numpy as np
## Filter valid sites
phospho = phospho[
(phospho['Reverse'] != '+') &
(phospho['Potential contaminant'] != '+')
]
## Filter by localization probability
phospho_confident = phospho[phospho['Localization prob'] >= 0.75]
print(f'Confident sites (prob >= 0.75): {len(phospho_confident)}')
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