Proteomics - Proteomics Analysis Toolkit for Quantitative Protein Data
Performs label-free quantitative proteomics analysis using R scripts for data normalization, visualization, pathway enrichment, and protein list cross-referencing.
Tags
Updated: 2026-02-11Typical Inputs
Typical Outputs
What this skill does
- normalize protein data
- create volcano plots
- generate heatmaps
- perform PCA analysis
- run pathway enrichment
- cross-reference protein lists
- generate Excel reports
- analyze matrisome proteins
- identify SASP factors
- check EV markers
Inputs
- protein intensity data
- comparison results
- sample metadata
- reference protein lists
- R scripts
Outputs
- TIFF image files
- Excel report files
- data tables
- pathway analysis results
- protein match lists
Requirements
- R environment
- project directory structure
- input data files
- reference data access