EncyclopeDIA
EncyclopeDIA constructs and uses chromatogram libraries to analyze Data Independent Acquisition (DIA) mass spectrometry data for peptide identification and quantification.
Key Features:
- Chromatogram library construction: Builds chromatogram libraries that encode fragment ion chromatographic peak shapes and retention times for detectable peptides.
- Fragment ion and retention time encoding: Captures detailed fragment ion chromatographic peak shapes and calibrated retention times for every detectable peptide in an experiment.
- Calibration of databases and libraries: Calibrates protein databases and spectrum libraries to specific mass spectrometer configurations and chromatography setups.
- DIA-only analytical pipelines: Enables analysis workflows that rely solely on DIA data, reducing dependence on Data Dependent Acquisition (DDA) methods.
- Reuse of global resource libraries: Standardizes parameters to allow reuse of global spectrum or chromatogram libraries across different experiments.
- Dual search capability: Searches peptides using either DDA-based spectrum libraries or DIA-based chromatogram libraries.
- Improved peptide detection: Exploits calibrated retention times and fragmentation specificity to increase peptide detection rates by approximately 20–25% compared to DDA-based spectrum library searches.
Scientific Applications:
- Proteomics identification and quantification: Improves peptide and protein identification and quantification from DIA mass spectrometry data.
- Cellular biology studies: Supports proteome-level analyses in human and yeast cell experiments.
- Disease biomarker discovery: Enhances peptide detection sensitivity for biomarker discovery applications.
- Systems biology: Provides broader proteomic coverage for systems-level investigations.
Methodology:
Construct chromatogram libraries encoding fragment ion chromatographic peak shapes and retention times; calibrate protein databases or spectrum libraries to mass spectrometer configurations and chromatography setups; search peptides using DDA-based spectrum libraries or DIA-based chromatogram libraries while exploiting calibrated retention times and fragmentation specificity.
Topics
Collections
Details
- License:
- Apache-2.0
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 6/18/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Searle BC, et al. Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry. Nat Commun. 2018; 9:5128. doi: 10.1038/s41467-018-07454-w
Documentation
Downloads
- BinariesVersion: 0.8.1https://bitbucket.org/searleb/encyclopedia/downloads/
- Source codeVersion: 0.8.1https://bitbucket.org/searleb/encyclopedia/src/default/