compbiozurich/UZH-BIO392
Apr 2026 – May 2026
2 Months active
Languages Used
MarkdownUnknownunknownJSONNonePythonRbash
Technical Skills
Unknownbioinformaticsdata analysisfile managementresearch documentationAPI integration
strebelinda
PROFILE
Strebelinda
Contributed to the compbiozurich/UZH-BIO392 repository by developing and expanding course resources focused on cancer genomics and CNV analysis. Built structured content scaffolding, including Jupyter notebooks and Markdown documentation, to support onboarding and learning for students. Enhanced repository organization through disciplined version control and file management, introducing new materials for progenetix and cancer-type classification while maintaining clarity by removing outdated assets. Applied Python and R programming for data analysis and visualization, and integrated Bash scripting for workflow automation. The work emphasized maintainability, enabling scalable content updates and supporting both instructors and learners with clear, up-to-date bioinformatics resources.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
37Total
Bugs
2
Commits
37
Features
5
Lines of code
18,854
Activity Months2
Your Network
38 peopleShared Repositories
27
Work History
May 2026
30 Commits • 4 Features
May 1, 2026May 2026 monthly summary for compbiozurich/UZH-BIO392. Delivered structured course content scaffolding and new materials for progenetix and cancer-type classification, launched May 2026 Batch 2 materials with day1 content and uploads, refreshed Python basics and cancer-type docs, and updated in-progress guides. Achieved repository hygiene by cleaning up outdated Belinda Strebel assets and obsolete course results. These efforts improve learner onboarding, content consistency, and maintainability, enabling faster course iteration and scalable material delivery. Key technologies include Jupyter notebooks, Markdown docs, and content pipelines across Python and R materials.
30 Commits • 4 Features
May 1, 2026May 2026 monthly summary for compbiozurich/UZH-BIO392. Delivered structured course content scaffolding and new materials for progenetix and cancer-type classification, launched May 2026 Batch 2 materials with day1 content and uploads, refreshed Python basics and cancer-type docs, and updated in-progress guides. Achieved repository hygiene by cleaning up outdated Belinda Strebel assets and obsolete course results. These efforts improve learner onboarding, content consistency, and maintainability, enabling faster course iteration and scalable material delivery. Key technologies include Jupyter notebooks, Markdown docs, and content pipelines across Python and R materials.
May 2026
April 2026
7 Commits • 1 Features
Apr 1, 2026April 2026 for compbiozurich/UZH-BIO392 focused on expanding CNV-related knowledge resources and strengthening documentation. Delivered a CNV Research Q&A markdown resource and broadened repository materials with new files and placeholders to support CNV studies and related course resources. Key commits included creating paper_day2.md, multiple file uploads, and introducing a new resource file (cewfre), contributing to a more complete CNV resource hub. No major bug fixes were recorded this month; emphasis was on documentation quality, resource scaffolding, and maintainability. Impact includes improved learning materials for CNV topics, faster onboarding for students, and a more scalable foundation for future content expansion. Skills demonstrated include Markdown-driven documentation, disciplined version control, repository organization, and content curation for course resources.
April 2026
7 Commits • 1 Features
Apr 1, 2026April 2026 for compbiozurich/UZH-BIO392 focused on expanding CNV-related knowledge resources and strengthening documentation. Delivered a CNV Research Q&A markdown resource and broadened repository materials with new files and placeholders to support CNV studies and related course resources. Key commits included creating paper_day2.md, multiple file uploads, and introducing a new resource file (cewfre), contributing to a more complete CNV resource hub. No major bug fixes were recorded this month; emphasis was on documentation quality, resource scaffolding, and maintainability. Impact includes improved learning materials for CNV topics, faster onboarding for students, and a more scalable foundation for future content expansion. Skills demonstrated include Markdown-driven documentation, disciplined version control, repository organization, and content curation for course resources.
Activity
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Quality Metrics
Correctness96.2%
Maintainability94.2%
Architecture95.0%
Performance94.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownNonePythonRUnknownbashpythonunknown
Technical Skills
API integrationBash scriptingGitJupyter NotebookJupyter NotebooksNumPyPythonPython programmingR programmingUnknownbioinformaticsbiological data analysiscancer genomicsdata analysisdata processing
Repositories Contributed To
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