egenomics/agb2025
May 2025 – Jun 2025
2 Months active
Languages Used
GroovyYAMLnfDockerfileHTMLMarkdownNextflowPython
Technical Skills
BioinformaticsContainerizationNextflowShell ScriptingBioinformatics Pipeline DevelopmentBioinformatics Pipelines
KarimUPF
PROFILE
Karimupf
Karim Hamed developed and enhanced the egenomics/agb2025 bioinformatics pipeline over two months, focusing on automated taxonomic classification and quality control reporting. He integrated Kraken2 into the Nextflow workflow, enabling automated taxonomic profiling and streamlined downstream reporting, while improving reliability through manifest and database handling updates. Karim also implemented MultiQC-based reporting to aggregate results from FastQC, Trimmomatic, and Kraken2, improving data quality visibility. His work included refactoring Nextflow configuration, consolidating container definitions using Dockerfile and Shell scripting, and restoring project documentation. These contributions improved pipeline maintainability, reproducibility, and onboarding, demonstrating depth in pipeline management and configuration management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
5
Lines of code
42,114
Activity Months2
Your Network
25 peopleSame Organization
@estudiant.upf.edu3
Work History
June 2025
8 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for egenomics/agb2025: Delivered key features for QC reporting, streamlined pipeline configuration, refreshed documentation, and reduced maintenance overhead. MultiQC-based consolidated QC reporting across FastQC, Trimmomatic, Kraken2, and other steps with input handling improvements and a local container option enables faster diagnostics and reproducibility. Nextflow configuration cleanup and container consolidation improved readability and maintainability of the pipeline. README restoration and setup guidance enhances onboarding and developer velocity. Project cleanup and reorganization reduces clutter and sets a solid foundation for future changes. Overall, these changes improve data quality visibility, pipeline reliability, and developer productivity, while enabling easier onboarding and reproducible runs.
8 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for egenomics/agb2025: Delivered key features for QC reporting, streamlined pipeline configuration, refreshed documentation, and reduced maintenance overhead. MultiQC-based consolidated QC reporting across FastQC, Trimmomatic, Kraken2, and other steps with input handling improvements and a local container option enables faster diagnostics and reproducibility. Nextflow configuration cleanup and container consolidation improved readability and maintainability of the pipeline. README restoration and setup guidance enhances onboarding and developer velocity. Project cleanup and reorganization reduces clutter and sets a solid foundation for future changes. Overall, these changes improve data quality visibility, pipeline reliability, and developer productivity, while enabling easier onboarding and reproducible runs.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for egenomics/agb2025: Delivered Kraken2 integration into the Nextflow pipeline for automated taxonomic classification and downstream reporting. Implemented reliability improvements including manifest naming fix and Kraken2 database handling. Migrated Kraken2 DB download to curl tarball and updated the container to bash:latest. These changes streamline the research workflow by providing automated taxonomic profiling within the pipeline, reducing manual steps, and improving reproducibility and reporting.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for egenomics/agb2025: Delivered Kraken2 integration into the Nextflow pipeline for automated taxonomic classification and downstream reporting. Implemented reliability improvements including manifest naming fix and Kraken2 database handling. Migrated Kraken2 DB download to curl tarball and updated the container to bash:latest. These changes streamline the research workflow by providing automated taxonomic profiling within the pipeline, reducing manual steps, and improving reproducibility and reporting.
Activity
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Quality Metrics
Correctness82.0%
Maintainability84.0%
Architecture82.0%
Performance72.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
DockerfileGroovyHTMLMarkdownNextflowPythonShellYAMLnf
Technical Skills
BioinformaticsBioinformatics Pipeline DevelopmentBioinformatics PipelinesConfiguration ManagementContainerizationData CleaningDevOpsDocumentationFile ManagementNextflowPipeline ManagementProject SetupQuality Control ReportingShell Scripting
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