ProteoWizard/pwiz
May 2025 – May 2025
1 Month active
Languages Used
C#C++Python
Technical Skills
C# DevelopmentC++ DevelopmentDependency ManagementError HandlingFile I/OLibrary Generation
xgwang-uw
PROFILE
Xgwang-uw
Xiaogang Wang developed a spectral library generation feature for the ProteoWizard/pwiz repository, integrating the AlphaPeptDeep Python script into the BuildLibraryDlg component. This work enabled end-to-end creation of spectral libraries from AlphaPeptDeep predictions, expanding the tool’s capabilities for proteomics research. Xiaogang used C#, C++, and Python to add support for Python and Nvidia runtimes, ensuring cross-platform compatibility. The implementation addressed file I/O challenges, including long file path handling, and improved error reporting and logging. The depth of the integration streamlined library generation workflows, enhanced reliability, and provided researchers with more flexible and traceable deployment options for spectral analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
32,701
Activity Months1
Your Network
129 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary: Delivered AlphaPeptDeep-based spectral library generation by integrating the AlphaPeptDeep Python script into BuildLibraryDlg, enabling creation of spectral libraries from AlphaPeptDeep predictions. Added support for Python and Nvidia runtimes, improved path handling for long file names, and fixed key file I/O and reporting defects. The work streamlines library generation, expands deployment options, and enhances reliability and traceability.
1 Commits • 1 Features
May 1, 2025May 2025 performance summary: Delivered AlphaPeptDeep-based spectral library generation by integrating the AlphaPeptDeep Python script into BuildLibraryDlg, enabling creation of spectral libraries from AlphaPeptDeep predictions. Added support for Python and Nvidia runtimes, improved path handling for long file names, and fixed key file I/O and reporting defects. The work streamlines library generation, expands deployment options, and enhances reliability and traceability.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#C++Python
Technical Skills
C# DevelopmentC++ DevelopmentDependency ManagementError HandlingFile I/OLibrary GenerationMachine Learning IntegrationPython Development
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