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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
Published on: August 19, 2025
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YPED: an integrated bioinformatics suite and database for mass spectrometry-based proteomics research
Christopher M Colangelo1, Mark Shifman2, Kei-Hoi Cheung3
1W.M. Keck Foundation Biotechnology Resource Laboratory, School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06520, USA.
Genomics, Proteomics & Bioinformatics
|February 26, 2015
Summary
The Yale Protein Expression Database (YPED) offers enhanced bioinformatics tools for proteomics research. This updated suite improves data management and analysis for mass spectrometry-based studies, benefiting researchers globally.
Area of Science:
- Proteomics
- Bioinformatics
- Mass Spectrometry
Background:
- High-throughput proteomics research generates vast datasets requiring robust management and analysis.
- Existing bioinformatics tools may not fully address the complexities of quantitative proteomic analysis and data archival.
Purpose of the Study:
- To report a significantly enhanced bioinformatics suite and database, the Yale Protein Expression Database (YPED).
- To meet the diverse data management, archival, and analysis needs of mass spectrometry-based proteomics research.
- To provide advanced tools for quantitative proteomic analysis, comparative studies, and targeted assay development.
Main Methods:
- Development of new modules for LC-MS/MS database search results, quantitative proteomic analysis (label and label-free), and phosphopeptide site localization scoring.
- Implementation of comparative analysis tools for peptides and proteins across multiple datasets.
- Integration of a targeted proteomics module for automated MRM/SRM assay development.
- Linking YPED results to the Skyline Panorama repository for online spectra visualization.
- Enhanced functionality for curating peptide identifications into an MS/MS spectral library.
Main Results:
- The enhanced YPED provides comprehensive solutions for proteomics data management and analysis.
- New modules facilitate detailed quantitative analysis and comparative studies.
- Automated assay development for targeted proteomics is now available.
- Integration with Skyline Panorama enables online spectral visualization.
- An MS/MS spectral library is curated from identification results.
Conclusions:
- The enhanced YPED significantly advances bioinformatics capabilities for proteomics research.
- It supports a wide range of research scales, from individual labs to the global community.
- YPED improves data accessibility, analysis efficiency, and the development of targeted proteomics assays.
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