MaSS-Simulator: A Highly Configurable Simulator for Generating MS/MS Datasets for Benchmarking of Proteomics...

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Mass Spectrometry (MS)-based proteomics generates vast datasets requiring advanced algorithmic tools for processing.
• Algorithmic integrity and reproducibility in proteomics are hindered by the lack of standardized data benchmarks and ground truth datasets.

Purpose of the Study:

• To present MaSS-Simulator, a configurable tool for simulating MS/MS datasets with known ground truths.
• To enable rigorous and large-scale testing of proteomics algorithms through customizable simulated datasets.

Main Methods:

• MaSS-Simulator was developed to generate simulated MS/MS datasets under various conditions with defined ground truths.
• The simulator's performance was evaluated by comparing its generated spectra against experimentally obtained spectra and those from the NIST spectral library.

Main Results:

• MaSS-Simulator generated spectra closely resemble real-world spectra, with a relative error distribution centered around 25%.
• Theoretical spectra exhibited a significantly higher relative error distribution, centered around 150%, highlighting the simulator's accuracy.

Conclusions:

• MaSS-Simulator provides a valuable solution for validating proteomics algorithms, addressing the need for reliable benchmarks.
• The tool empowers developers to rigorously test their algorithms, identify limitations, and showcase their capabilities effectively.