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Mathias Johansson

PROFILE

Mathias Johansson

Math Johansen developed a new command-line argument, --soft-filter-normal, for the Balsamic workflow in the Clinical-Genomics/cg repository, enhancing tumor-normal paired TGA analyses. Using Python and leveraging bioinformatics and workflow management expertise, Math designed this feature to control normal sample filtration, defaulting to enabled for analyses with a verified panel bed. The implementation allows users to disable filtration when needed, supporting broader experimental use cases and improving workflow flexibility. This targeted enhancement increased reproducibility and deployment readiness for clinical genomics pipelines. Over the month, Math focused on feature development, demonstrating depth in workflow customization and domain-specific software engineering.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
20
Activity Months1

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 — Implemented a new --soft-filter-normal argument in the Balsamic workflow (TGA analyses) to control normal sample filtration in tumor-normal paired analyses with a verified panel bed. Default enabled; allows disabling when necessary to support broader use cases and safer experimentation. Commit: d5962984ec68180042c9e7eeff0e3ece26d2b021 (#4157).

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

BioinformaticsSoftware DevelopmentWorkflow Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Clinical-Genomics/cg

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

BioinformaticsSoftware DevelopmentWorkflow Management

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