theiagen/public_health_bioinformatics
Nov 2024 – Jun 2025
8 Months active
Languages Used
MarkdownShellWDLbashwdlWDYAMLmarkdown
Technical Skills
BioinformaticsDocumentationPhylogenetic AnalysisShell ScriptingWDLWorkflow Development
Michal Babinski
PROFILE
Michal Babinski
Michal Babinski developed and maintained advanced bioinformatics workflows in the theiagen/public_health_bioinformatics repository, focusing on fungal genomics, variant calling, and phylogenetic analysis. Over eight months, Michal replaced legacy assembly pipelines with a modular digger_denovo workflow, integrated ONT sequencing support for fungal genome assembly and AMR profiling, and enhanced reproducibility through explicit version tracking and documentation. Using Python, WDL, and Docker, Michal implemented robust resource allocation, automated dataset management, and edge-case handling for variant detection. The work demonstrated depth in workflow development, containerization, and data management, resulting in more reliable, maintainable, and production-ready pipelines for public health genomics.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
22Total
Bugs
2
Commits
22
Features
9
Lines of code
3,181
Activity Months8
Your Network
18 peopleSame Organization
@theiagen.com4
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a comprehensive ONT-based workflow for fungal genome assembly, QC, and characterization (TheiaEuk ONT workflow) in theiagen/public_health_bioinformatics, enabling end-to-end analysis from raw reads to taxonomic identification and AMR profiling. This work integrates Flye for assembly, GAMBIT for taxonomic identification, and Merlin Magic for downstream analyses including clade typing and AMR profiling; includes read QC and assembly quality assessment steps. The project is documented and production-ready, with a clear path to deployment in existing pipelines.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a comprehensive ONT-based workflow for fungal genome assembly, QC, and characterization (TheiaEuk ONT workflow) in theiagen/public_health_bioinformatics, enabling end-to-end analysis from raw reads to taxonomic identification and AMR profiling. This work integrates Flye for assembly, GAMBIT for taxonomic identification, and Merlin Magic for downstream analyses including clade typing and AMR profiling; includes read QC and assembly quality assessment steps. The project is documented and production-ready, with a clear path to deployment in existing pipelines.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 focusing on development in theiagen/public_health_bioinformatics. Delivered a major feature improvement by replacing the Shovill-based assembly workflow with a new digger_denovo subworkflow across Theia pipelines, enabling explicit control over assembly parameters and better integration with filtering and polishing tools. This change enhances flexibility, maintainability, and cross-pipeline consistency.
May 2025
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 focusing on development in theiagen/public_health_bioinformatics. Delivered a major feature improvement by replacing the Shovill-based assembly workflow with a new digger_denovo subworkflow across Theia pipelines, enabling explicit control over assembly parameters and better integration with filtering and polishing tools. This change enhances flexibility, maintainability, and cross-pipeline consistency.
April 2025
1 Commits
Apr 1, 2025Month: 2025-04 — Key deliverable: Stabilize VADR resource allocation in TheiaCoV workflows to ensure reliable processing of WNV and RSV analyses. Implemented higher CPU and memory limits for the VADR task, updated test fixtures to reflect the new resources, and aligned with Google Cloud Platform (GCP) Batch runtimes. This change improves processing throughput, reduces resource-related failures, and strengthens the public health surveillance pipeline. Commit reference: 1e01b659bb03206a0879b25f33012a6f7c8978f1 ([VADR] Update mem for gcp batch (#808)).
1 Commits
Apr 1, 2025Month: 2025-04 — Key deliverable: Stabilize VADR resource allocation in TheiaCoV workflows to ensure reliable processing of WNV and RSV analyses. Implemented higher CPU and memory limits for the VADR task, updated test fixtures to reflect the new resources, and aligned with Google Cloud Platform (GCP) Batch runtimes. This change improves processing throughput, reduces resource-related failures, and strengthens the public health surveillance pipeline. Commit reference: 1e01b659bb03206a0879b25f33012a6f7c8978f1 ([VADR] Update mem for gcp batch (#808)).
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Delivered a feature update to Nextclade integration by upgrading the Docker image and dataset tags across all workflows in theiagen/public_health_bioinformatics (March 2025). This ensures workflows use the latest Nextclade software and reference data, boosting accuracy and feature availability. No major bugs fixed this period; work focused on reliability, reproducibility, and documentation/config alignment across pipelines. Business impact: more reliable analyses, faster adoption of Nextclade improvements, and reduced drift across workflows. Tech impact: Docker-based environment management, versioned configuration, and clear commit traceability.
March 2025
1 Commits • 1 Features
Mar 1, 2025Delivered a feature update to Nextclade integration by upgrading the Docker image and dataset tags across all workflows in theiagen/public_health_bioinformatics (March 2025). This ensures workflows use the latest Nextclade software and reference data, boosting accuracy and feature availability. No major bugs fixed this period; work focused on reliability, reproducibility, and documentation/config alignment across pipelines. Business impact: more reliable analyses, faster adoption of Nextclade improvements, and reduced drift across workflows. Tech impact: Docker-based environment management, versioned configuration, and clear commit traceability.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments: delivered automated NCBI viral dataset download capability and TheiaEuk Gambit fungal database integration, with accompanying documentation and tests updates to enhance reproducibility, coverage, and data quality.
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments: delivered automated NCBI viral dataset download capability and TheiaEuk Gambit fungal database integration, with accompanying documentation and tests updates to enhance reproducibility, coverage, and data quality.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Theiagen/public_health_bioinformatics: Strengthened pipeline resilience and expanded ONT variant analysis capabilities. Delivered a new Clair3 ONT variant calling workflow and implemented a stability fix for variant_call when no variants are detected, reducing failures and improving end-to-end variant counting. These changes enhance long-read variant detection, enable haploid calling, and support multiple Clair3 models, delivering clearer insights and faster turnaround for variant reports.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Theiagen/public_health_bioinformatics: Strengthened pipeline resilience and expanded ONT variant analysis capabilities. Delivered a new Clair3 ONT variant calling workflow and implemented a stability fix for variant_call when no variants are detected, reducing failures and improving end-to-end variant counting. These changes enhance long-read variant detection, enable haploid calling, and support multiple Clair3 models, delivering clearer insights and faster turnaround for variant reports.
December 2024
6 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for the theiagen/public_health_bioinformatics repository. The team delivered targeted updates to data tags, environment references, and documentation to ensure analyses run on current datasets and software, while enhancing reproducibility and maintainability of the workflow ecosystems (TheiaCoV and Augur). These changes reduce stale data risks, clarify tree-construction methods, and improve onboarding for new contributors and users.
6 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for the theiagen/public_health_bioinformatics repository. The team delivered targeted updates to data tags, environment references, and documentation to ensure analyses run on current datasets and software, while enhancing reproducibility and maintainability of the workflow ecosystems (TheiaCoV and Augur). These changes reduce stale data risks, clarify tree-construction methods, and improve onboarding for new contributors and users.
December 2024
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for theiagen/public_health_bioinformatics: Delivered the Augur tree IQ-TREE substitution model extraction feature, with robust handling and clear model output. Completed targeted code improvements to improve reliability of model extraction (including FASTA basename/directory derivation) and ensured non-null model fields in both task and workflow. Updated documentation to expose model options and the iqtree_model_used variable, enhancing reproducibility and auditability of phylogenetic analyses. Overall, this work improves traceability of substitution models used during tree construction, strengthens data quality in outputs, and supports reproducible research pipelines.
November 2024
8 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for theiagen/public_health_bioinformatics: Delivered the Augur tree IQ-TREE substitution model extraction feature, with robust handling and clear model output. Completed targeted code improvements to improve reliability of model extraction (including FASTA basename/directory derivation) and ensured non-null model fields in both task and workflow. Updated documentation to expose model options and the iqtree_model_used variable, enhancing reproducibility and auditability of phylogenetic analyses. Overall, this work improves traceability of substitution models used during tree construction, strengthens data quality in outputs, and supports reproducible research pipelines.
Activity
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Quality Metrics
Correctness91.4%
Maintainability90.6%
Architecture90.6%
Performance84.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShellWDWDLYAMLbashmarkdownpngwdl
Technical Skills
Antimicrobial Resistance ProfilingAssemblyBioinformaticsContainerizationData ManagementDockerDocumentationFungal GenomicsGenomic AnalysisNextcladeONT Data AnalysisONT SequencingPangolinPhylogenetic AnalysisQuality Control
Repositories Contributed To
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