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Mspire-Simulator: LC-MS shotgun proteomic simulator for creating realistic gold standard data
Andrew B Noyce1, Rob Smith, James Dalgleish
1Department of Biochemistry, Brigham Young University , 701 East University Parkway, BNSN C100, Provo, Utah 84602, United States.
Journal of Proteome Research
|October 5, 2013
Summary
Creating realistic simulated proteomic data is crucial for validating quantitative proteomics software. Mspire-Simulator generates accurate LC-MS features, enabling rigorous testing of peak detection algorithms.
Area of Science:
- Proteomics
- Computational Biology
- Mass Spectrometry
Background:
- Accurate feature detection is critical for quantitative proteomics.
- Generating high-quality, hand-annotated datasets for algorithm validation is challenging, especially for low-abundance peaks.
Purpose of the Study:
- To introduce Mspire-Simulator, a free, open-source shotgun proteomic simulator.
- To generate realistic LC-MS features, including m/z and intensity variance, and noise components.
Main Methods:
- Developed a simulator that mimics real LC-MS data features.
- Incorporated machine-learned models for retention time and peak intensity prediction.
- Utilized a genetic algorithm for custom fitting model parameters to experimental data.
Main Results:
- Simulated peaks were visually and analytically indistinguishable from actual data.
- The simulation methods proved applicable across three different mass spectrometers.
- Mspire-Simulator generates realistic m/z and intensity variance and noise.
Conclusions:
- Mspire-Simulator provides a robust method for generating gold-standard simulated proteomic data.
- Researchers can use this tool to rigorously test quantitation software and validate algorithms.
- The simulator aids proteomic researchers in analyzing and interpreting experimental datasets.
