Sage
Sage matches tandem mass spectra to peptide sequences to identify and quantify peptides in proteomics studies.
Key Features:
- High Performance: Engineered for rapid processing, providing substantially faster spectrum-to-peptide matching while maintaining competitive accuracy.
- Scalability and Cloud Readiness: Scales to large datasets and is suitable for deployment on cloud computing resources for high-throughput proteomic studies.
- Database Search Engine: Implements a proteomics database search engine for matching tandem mass spectra with peptide sequences.
- Retention Time Prediction: Provides peptide retention time prediction to support identification and quantification workflows.
- False Discovery Rate (FDR) Control: Includes mechanisms for controlling FDR to ensure statistical robustness of identifications.
- Open Source and Permissive License: Distributed under a permissive open-source license, enabling code inspection and modification.
Scientific Applications:
- Protein Identification: Matches tandem mass spectra to peptides to enable identification of proteins in complex biological samples.
- Peptide Quantification: Supports quantification workflows to measure peptide and protein abundances from mass spectra.
- Retention Time Modeling: Uses predicted retention times to improve identification confidence and alignment across runs.
- Statistical Validation: Applies FDR control for statistically robust peptide-spectrum matches and reported identifications.
Methodology:
Implements a proteomics database search engine that employs advanced algorithms to match tandem mass spectra to peptide sequences, optimized for speed while maintaining accuracy.
Details
- License:
- MIT
- Added:
- 2/13/2024
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Peptide identification
Inputs
Outputs
Publications
Lazear MR. Sage: An Open-Source Tool for Fast Proteomics Searching and Quantification at Scale. Journal of Proteome Research. 2023;22(11):3652-3659. doi:10.1021/acs.jproteome.3c00486. PMID:37819886.
PMID: 37819886