stjude/proteinpaint
Jan 2026 – Jun 2026
6 Months active
Languages Used
RustJSONJavaScriptTypeScriptNonePython
Technical Skills
Data ProcessingError HandlingHDF5RustRust programmingdata processing
Wang
PROFILE
Wang
Over six months, contributed to the stjude/proteinpaint repository by building and modernizing core analytics and data visualization features for genomic data analysis. Leveraging Rust, Python, and TypeScript, developed unified HDF5 input handling, expanded test coverage, and enhanced JSON schema validation to improve data integrity and maintainability. Delivered in-house bioinformatics pipelines, optimized gene expression processing, and introduced scalable bulk query modes for performance gains. On the front end, implemented new genome browser capabilities for structural variants and copy number variations using D3.js, while refining UI data models and visualization logic to support richer, more reliable downstream analysis and user experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
33Total
Bugs
0
Commits
33
Features
14
Lines of code
2,896
Activity Months6
Your Network
46 peopleSame Organization
@stjude.org17
PPTeam CIMember
aacicMember
Andrew WillemsMember
Colleen ReillyMember
Gavriel MattMember
gavrielmMember
Haidong YiMember
Jay KnightMember
JamelMember
Shared Repositories
29
aacicMember
Airen Zaldivar PerazaMember
Andrew WillemsMember
congyu-luMember
Colleen ReillyMember
Edward MalinowskiMember
Gavriel MattMember
gavrielmMember
Jay KnightMember
Work History
June 2026
2 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for stjude/proteinpaint: Focused on expanding data visualization capabilities and preparing the genome browser to handle a broader set of mutation types, aligning with product goals of enabling deeper insights from genomic data. No major bug fixes were reported this month; the team concentrated on delivering two key front-end visualization features with clear business value and measurable impact.
2 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for stjude/proteinpaint: Focused on expanding data visualization capabilities and preparing the genome browser to handle a broader set of mutation types, aligning with product goals of enabling deeper insights from genomic data. No major bug fixes were reported this month; the team concentrated on delivering two key front-end visualization features with clear business value and measurable impact.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026For May 2026, delivered a focused data-parsing enhancement in the Phenotree Dictionary within stjude/proteinpaint to recognize sample_type as a valid header, enabling more detailed data handling during phenotree database builds. Implemented via commit 4a972ed82384707cbebcadcc828b65068019857e with message 'allow sample_type in phenotree for db build'.
May 2026
1 Commits • 1 Features
May 1, 2026For May 2026, delivered a focused data-parsing enhancement in the Phenotree Dictionary within stjude/proteinpaint to recognize sample_type as a valid header, enabling more detailed data handling during phenotree database builds. Implemented via commit 4a972ed82384707cbebcadcc828b65068019857e with message 'allow sample_type in phenotree for db build'.
April 2026
12 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for stjude/proteinpaint focused on stabilizing and expanding core analytics capabilities while reducing external dependencies. Delivered a complete in-house MSA pipeline, replacing ClustalO with a Python-based solution, adding end-to-end alignment handling (alignment, distance matrix, guide tree), removing external binaries, addressing Biopython deprecations, renaming scripts, and strengthening tests and parsing infrastructure. Also enhanced gene expression data processing for robustness and performance (handling non-finite/missing values, skipping non-numeric values in clustering, and refactoring cpm to accept column sums). Result: improved reliability, throughput, and reproducibility with reduced maintenance overhead and clearer ownership of key analytics pipelines.
12 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for stjude/proteinpaint focused on stabilizing and expanding core analytics capabilities while reducing external dependencies. Delivered a complete in-house MSA pipeline, replacing ClustalO with a Python-based solution, adding end-to-end alignment handling (alignment, distance matrix, guide tree), removing external binaries, addressing Biopython deprecations, renaming scripts, and strengthening tests and parsing infrastructure. Also enhanced gene expression data processing for robustness and performance (handling non-finite/missing values, skipping non-numeric values in clustering, and refactoring cpm to accept column sums). Result: improved reliability, throughput, and reproducibility with reduced maintenance overhead and clearer ownership of key analytics pipelines.
April 2026
March 2026
8 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) focused on delivering core data model enhancements, UI/UX improvements, and scalable analytics capabilities, with attention to data integrity and performance.
March 2026
8 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) focused on delivering core data model enhancements, UI/UX improvements, and scalable analytics capabilities, with attention to data integrity and performance.
February 2026
7 Commits • 4 Features
Feb 1, 2026February 2026: Delivered substantial data quality and usability improvements for stjude/proteinpaint, focusing on robust test coverage, JSON data modeling, and schema consistency. Key outcomes include enhanced validation for TopGeneByExpressionVariance, richer VAF/JSON representations, and updated mutation sample schemas, resulting in more reliable downstream analyses and easier maintenance.
7 Commits • 4 Features
Feb 1, 2026February 2026: Delivered substantial data quality and usability improvements for stjude/proteinpaint, focusing on robust test coverage, JSON data modeling, and schema consistency. Key outcomes include enhanced validation for TopGeneByExpressionVariance, richer VAF/JSON representations, and updated mutation sample schemas, resulting in more reliable downstream analyses and easier maintenance.
February 2026
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for stjude/proteinpaint. Focused on modernizing HDF5 input handling, stabilizing data ingestion, and cleaning up legacy code to improve reliability and maintainability in the ProteinPaint pipeline.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for stjude/proteinpaint. Focused on modernizing HDF5 input handling, stabilizing data ingestion, and cleaning up legacy code to improve reliability and maintainability in the ProteinPaint pipeline.
Activity
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Quality Metrics
Correctness95.2%
Maintainability89.6%
Architecture89.8%
Performance91.6%
AI Usage23.8%
Skills & Technologies
Programming Languages
JSONJavaScriptNonePythonRustTypeScript
Technical Skills
Algorithm OptimizationD3.jsData AnalysisData ModelingData ProcessingDockerError HandlingHDF5JSON manipulationJavaScriptJavaScript developmentJavaScript testing frameworksPythonPython programmingPython scripting
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