SubCellBarCode
SubCellBarCode robustly classifies proteins into corresponding subcellular localization using mass spectrometry-based spatial proteomics data.
Key Features:
- Protein Classification: Robustly classifies proteins into their corresponding subcellular localizations based on mass spectrometry data.
- Visualization: Provides functionality for visualizing the mapped whole human spatial proteome.
- Integrated Workflow: Implements a complete workflow for spatial proteomics analysis from data processing to localization mapping.
Scientific Applications:
- Spatial Proteomics Mapping: Enables proteome-wide mapping of protein subcellular localization in human cells.
- Subcellular Localization Studies: Supports research on protein distribution across different cellular compartments.
Methodology:
Mass spectrometry-based spatial proteomics data are processed to classify proteins into subcellular localizations, building on the approach described by Orre et al. 2019 in Molecular Cell.
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026