
During April 2025, Megumi Mizoguchi developed and expanded hands-on genomics and bioinformatics course materials for the compbiozurich/UZH-BIO392 repository. She established a comprehensive documentation baseline, including a detailed Project Readme, and delivered new R-based exercises and Jupyter Notebook content to support reproducible student learning. Her work included uploading and curating CNV, pangenome, and ClinVar/ClinGen assignments, as well as BLAST and GWAS exercises, with a focus on clarity and long-term maintainability. Using Python, R, and Pandas, she emphasized data analysis, scientific writing, and technical documentation, resulting in a scalable resource set that streamlines onboarding and course delivery.

April 2025 performance summary for compbiozurich/UZH-BIO392: Established a solid documentation baseline and expanded hands-on course materials across genomics and bioinformatics modules to improve onboarding, course readiness, and long-term maintainability. Key work focused on (1) initializing a Project Readme to document scope and structure, (2) delivering R exercises and Day 3 content with Rmd versions, (3) uploading CNV/pangenome/ClinVar-ClinGen materials and updating related documentation, (4) providing BLAST exercise materials with updated guidance, and (5) publishing GWAS exercises along with cost and storage estimation tasks. No major bug fixes were logged in the provided data; efforts emphasized content accuracy, consistency, and documentation. Overall, the month delivered a reusable, scalable resource set that reduces instructor setup time and enhances student learning with reproducible materials.
April 2025 performance summary for compbiozurich/UZH-BIO392: Established a solid documentation baseline and expanded hands-on course materials across genomics and bioinformatics modules to improve onboarding, course readiness, and long-term maintainability. Key work focused on (1) initializing a Project Readme to document scope and structure, (2) delivering R exercises and Day 3 content with Rmd versions, (3) uploading CNV/pangenome/ClinVar-ClinGen materials and updating related documentation, (4) providing BLAST exercise materials with updated guidance, and (5) publishing GWAS exercises along with cost and storage estimation tasks. No major bug fixes were logged in the provided data; efforts emphasized content accuracy, consistency, and documentation. Overall, the month delivered a reusable, scalable resource set that reduces instructor setup time and enhances student learning with reproducible materials.
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