compbiozurich/UZH-BIO392
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
API integrationAPI requestsJupyterPandasbioinformaticsdata analysis
juliettebrdt
PROFILE
Juliettebrdt
Developed an end-to-end survival analysis workflow for the compbiozurich/UZH-BIO392 repository, focusing on leveraging genetic variant data to support bioinformatics research. The work involved creating a Jupyter notebook that automates data download, cleaning, and preparation, utilizing Python and Pandas for efficient data handling. Integrated API requests to fetch and process genetic variant data from biosamples, and implemented logic to collect variants and validate them against a gene panel, enhancing the reliability of survival outcome analyses. The approach emphasized reproducibility and robust data validation, addressing key challenges in genomics data analysis and ensuring a streamlined workflow for future research applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
498
Activity Months1
Your Network
27 peopleShared Repositories
27
Work History
April 2026
3 Commits • 1 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on compbiozurich/UZH-BIO392: Delivered an end-to-end Survival Analysis Workflow leveraging genetic variant data. Introduced a new notebook for data download, cleaning, and preparation; added functionality to fetch and process genetic variant data from biosamples; implemented collection of variants and validation against a gene panel to strengthen survival outcome analyses. Major bugs fixed: none reported this period.
3 Commits • 1 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on compbiozurich/UZH-BIO392: Delivered an end-to-end Survival Analysis Workflow leveraging genetic variant data. Introduced a new notebook for data download, cleaning, and preparation; added functionality to fetch and process genetic variant data from biosamples; implemented collection of variants and validation against a gene panel to strengthen survival outcome analyses. Major bugs fixed: none reported this period.
April 2026
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationAPI requestsJupyterPandasbioinformaticsdata analysisdata cleaninggenomics
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline