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
Worked on the ProteoWizard/pwiz repository to deliver AlphaPeptDeep-based spectral library generation, integrating a Python script into the BuildLibraryDlg component. This effort enabled end-to-end creation of spectral libraries from AlphaPeptDeep predictions, expanding the tool’s capabilities for proteomics research. The implementation involved C#, C++, and Python, with a focus on robust dependency management and error handling. Added support for Python and Nvidia runtimes to facilitate cross-platform deployment, while addressing file I/O challenges such as long path handling and improving reporting mechanisms. The work enhanced reliability, user feedback, and traceability, streamlining spectral library generation and supporting faster, more reproducible research workflows.
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
149 peopleSame Organization
@uw.edu132
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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