compbiozurich/UZH-BIO392
Apr 2025 – May 2025
2 Months active
Languages Used
AWKMarkdownRR MarkdownBASHJSONJupyter NotebookPython
Technical Skills
BioinformaticsCost EstimationData AnalysisData Analysis DocumentationData CurationData Storage
BaBurri
PROFILE
Baburri
During two months on the compbiozurich/UZH-BIO392 repository, Basil Burri developed and documented end-to-end bioinformatics workflows and educational materials to support student learning and reproducible research. He established project scaffolding, created onboarding and technical documentation, and built Jupyter Notebooks and Python scripts for sequence analysis, STR genotyping, and CNV data processing. Leveraging Python, R, and Pandas, Basil implemented data wrangling, visualization, and machine learning pipelines, including dimensionality reduction and classification for population structure analysis. His work emphasized clarity, maintainability, and alignment with domain standards, resulting in a robust foundation for practical genomics education and scalable data analysis within the project.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
40Total
Bugs
1
Commits
40
Features
13
Lines of code
2,307
Activity Months2
Your Network
10 people
Work History
May 2025
12 Commits • 4 Features
May 1, 2025May 2025 (compbiozurich/UZH-BIO392): Delivered a focused set of educational materials and end-to-end analysis workflows to support student learning, reproducibility, and practical data analysis in sequence analysis, VCF interpretation, STR genotype analysis, and CNV concepts. Key outputs include new documentation, notebooks, and Python scripts that enable end-to-end data processing, filtering, visualization, and basic predictive analytics on STR data, with an emphasis on onboarding, clarity, and scalable workflows suitable for Progenetix data integration and API usage.
12 Commits • 4 Features
May 1, 2025May 2025 (compbiozurich/UZH-BIO392): Delivered a focused set of educational materials and end-to-end analysis workflows to support student learning, reproducibility, and practical data analysis in sequence analysis, VCF interpretation, STR genotype analysis, and CNV concepts. Key outputs include new documentation, notebooks, and Python scripts that enable end-to-end data processing, filtering, visualization, and basic predictive analytics on STR data, with an emphasis on onboarding, clarity, and scalable workflows suitable for Progenetix data integration and API usage.
May 2025
April 2025
28 Commits • 9 Features
Apr 1, 2025April 2025 results for compbiozurich/UZH-BIO392: established project scaffolding and onboarding documentation, expanded and refined BaBurri-related documentation across modules, and delivered learning-material updates. Also performed repository hygiene to ensure a clean, maintainable workspace and set foundation for reproducible analyses and rapid onboarding.
April 2025
28 Commits • 9 Features
Apr 1, 2025April 2025 results for compbiozurich/UZH-BIO392: established project scaffolding and onboarding documentation, expanded and refined BaBurri-related documentation across modules, and delivered learning-material updates. Also performed repository hygiene to ensure a clean, maintainable workspace and set foundation for reproducible analyses and rapid onboarding.
Activity
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Quality Metrics
Correctness95.0%
Maintainability94.6%
Architecture93.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
AWKBASHJSONJupyter NotebookMarkdownPythonRR MarkdownSQLShell
Technical Skills
BioinformaticsCommand Line InterfaceCost EstimationData AnalysisData Analysis DocumentationData CurationData StorageData VisualizationDatabase DocumentationDocumentationEducational Content CreationFile Format EvaluationGenetic AnalysisGenomic Data AnalysisGenomic Data Processing
Repositories Contributed To
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