nf-core/sarek
Dec 2025 – Dec 2025
1 Month active
Languages Used
MarkdownNextflow
Technical Skills
bioinformaticsdata processingdata validationdocumentationparameter validationversion control
Sam Minot
PROFILE
Sam Minot
Worked on the nf-core/sarek repository to enhance data quality and pipeline robustness in bioinformatics workflows. Developed robust handling for UMI read structures by implementing parameter validation and improved error handling for UMI extraction from read headers and samplesheets, ensuring compatibility and easier troubleshooting. Introduced post-variant analysis improvements by adding bcftools filtering and consensus calling across variant calling tools, which stabilized small variant sets and reduced false positives. Utilized Nextflow and Markdown for workflow development and documentation, with a focus on data processing, validation, and version control. These updates improved reproducibility, traceability, and confidence in downstream somatic variant analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
7
Activity Months1
Work History
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for nf-core/sarek focusing on robustness and data quality enhancements in UMI handling and post-variant analysis. Delivered two primary features and improvements: (1) Robust UMI read structure handling with parameter validation and enhanced error handling for umi_read_structure in read headers and samplesheets, enabling reliable UMI extraction and easier troubleshooting; (2) Post-variant analysis enhancements including bcftools filtering (PASS,. criteria) and consensus calling across tools for small variants (default consensus threshold x=2) to produce more reliable variant sets. These changes improve pipeline reliability, reproducibility, and downstream decision support by reducing false positives and manual rework. Updated changelog and versioning to reflect changes, supporting traceability and governance.
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for nf-core/sarek focusing on robustness and data quality enhancements in UMI handling and post-variant analysis. Delivered two primary features and improvements: (1) Robust UMI read structure handling with parameter validation and enhanced error handling for umi_read_structure in read headers and samplesheets, enabling reliable UMI extraction and easier troubleshooting; (2) Post-variant analysis enhancements including bcftools filtering (PASS,. criteria) and consensus calling across tools for small variants (default consensus threshold x=2) to produce more reliable variant sets. These changes improve pipeline reliability, reproducibility, and downstream decision support by reducing false positives and manual rework. Updated changelog and versioning to reflect changes, supporting traceability and governance.
December 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
MarkdownNextflow
Technical Skills
bioinformaticsdata processingdata validationdocumentationparameter validationversion controlworkflow development
Repositories Contributed To
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