compbiozurich/UZH-BIO392
Apr 2025 – May 2025
2 Months active
Languages Used
MarkdownPythonRJSONJupyter Notebook
Technical Skills
API IntegrationBioinformaticsCost AnalysisData AnalysisData CurationData Loading
Lea
PROFILE
Lea
Lea Scherr developed and maintained educational bioinformatics materials for the compbiozurich/UZH-BIO392 repository, focusing on genomics and STR variant analysis. She created structured R and Python course assets, including Jupyter Notebooks and R Markdown files, to support clear learning paths and up-to-date content. Her work included expanding modules on gene-disease relationships, SNP exploration, and STR analysis, while aligning workflows with GangSTR requirements. Through careful documentation, code modernization, and repository cleanup, Lea improved maintainability and onboarding for students. She demonstrated technical depth in Python, R, and data curation, delivering well-organized resources that addressed both instructional and technical needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
3
Lines of code
2,297
Activity Months2
Your Network
10 people
Work History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for compbiozurich/UZH-BIO392: Delivered STR Variant Identification Educational Materials bundled into a new Jupyter Notebook, a Q&A Markdown, and cleanup of an obsolete exercise notebook, plus supplementary documentation on bioinformatics pipeline concepts and GangSTR requirements. No major bugs reported; minor cleanup actions improved maintainability. Overall impact includes higher-quality learning resources, clearer guidelines for STR analysis, and better alignment with GangSTR requirements, enabling faster onboarding and more consistent student outcomes. Technologies and skills demonstrated include Python/Jupyter development, Markdown documentation, Git-based version control, and bioinformatics pipeline concepts.
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for compbiozurich/UZH-BIO392: Delivered STR Variant Identification Educational Materials bundled into a new Jupyter Notebook, a Q&A Markdown, and cleanup of an obsolete exercise notebook, plus supplementary documentation on bioinformatics pipeline concepts and GangSTR requirements. No major bugs reported; minor cleanup actions improved maintainability. Overall impact includes higher-quality learning resources, clearer guidelines for STR analysis, and better alignment with GangSTR requirements, enabling faster onboarding and more consistent student outcomes. Technologies and skills demonstrated include Python/Jupyter development, Markdown documentation, Git-based version control, and bioinformatics pipeline concepts.
May 2025
April 2025
18 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for compbiozurich/UZH-BIO392: Delivered structured Day 4 R basics materials and expanded Genomics course content; cleaned up outdated assets; improved repository readiness for learner-facing materials and instructor notes. Focused on business value (clear learning paths, reduced maintenance) while delivering concrete technical artifacts (R/Rmd assets, Python scripts, updated Markdown docs).
April 2025
18 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for compbiozurich/UZH-BIO392: Delivered structured Day 4 R basics materials and expanded Genomics course content; cleaned up outdated assets; improved repository readiness for learner-facing materials and instructor notes. Focused on business value (clear learning paths, reduced maintenance) while delivering concrete technical artifacts (R/Rmd assets, Python scripts, updated Markdown docs).
Activity
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Quality Metrics
Correctness95.6%
Maintainability95.6%
Architecture95.6%
Performance91.8%
AI Usage22.8%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonR
Technical Skills
API IntegrationBioinformaticsCommand Line InterfaceCost AnalysisData AnalysisData CurationData LoadingData PresentationData StorageData VisualizationDocumentationGenetics EducationGenomicsGenomics Data ManagementJupyter Notebooks
Repositories Contributed To
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