Limelight
Limelight provides data sharing, analysis, and visualization for mass spectrometry data from data-dependent acquisition (DDA) pipelines.
Key Features:
- Multi-format data import: Imports data from many widely used open-mass and closed-mass search software workflows.
- Native score retention: Uses the native scores from respective search workflows without re-scoring or modification.
- Complete data stack access: Provides access from raw and annotated scan data to peptide-spectrum matches, quality control, peptides, proteins, and modifications.
- Pipeline-independent operation: Supports data from any DDA workflow and is not tied to any specific software pipeline.
Scientific Applications:
- Proteome profiling: Analyzes protein expression across samples using DDA mass spectrometry data.
- Protein-protein interaction studies: Interprets mass spectrometry data from affinity purification and interaction experiments.
- Biomarker discovery: Supports identification and validation of protein biomarkers from mass spectrometry datasets.
- Protein modification analysis: Enables detection and interpretation of post-translational modifications from search results.
Methodology:
Limelight imports search results from common mass spectrometry search engines and preserves native scoring metrics for visualization and collaborative analysis.
Topics
Details
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026
Operations
Publications
Documentation
Training material
https://limelight.yeastrc.org/limelight/p/demoUser manual
https://limelight-ms.readthedocs.io/Links
Issue tracker
https://github.com/yeastrc/limelight-core/issues