Proteomics
CommunityAnalyze proteomics data with R.
AuthorJoBBurt
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive toolkit for analyzing quantitative proteomics data, enabling researchers to normalize data, visualize results, and perform pathway enrichment analysis.
Core Features & Use Cases
- Data Normalization: Apply various statistical methods (Median, Quantile, VSN, etc.) to correct for technical variations.
- Visualization: Generate publication-quality plots like volcano plots, heatmaps, and PCA plots.
- Pathway Analysis: Perform enrichment analysis using KEGG, GO, and ConsensusPathDB databases.
- Use Case: A researcher has raw proteomics data and needs to identify differentially expressed proteins between two conditions, visualize the results, and understand the biological pathways involved.
Quick Start
Use the Proteomics skill to create a volcano plot for my proteomics comparison data.
Dependency Matrix
Required Modules
tidyverseggplot2openxlsxpheatmapgplotscorrplotRColorBrewerVennDiagrameulerrscalesstringrlimmapreprocessCorevsnclusterProfilerorg.Hs.eg.dborg.Mm.eg.dbDOSEenrichplotReactomePApathviewpRolocpRolocdatazeep
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Proteomics Download link: https://github.com/JoBBurt/proteomics-skill/archive/main.zip#proteomics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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