eastgenomics/eggd_conductor_configs
Jun 2025 – Feb 2026
4 Months active
Languages Used
MarkdownYAMLJSON
Technical Skills
Configuration ManagementDocumentationconfiguration managementgenomic data analysisworkflow orchestration
cnascim1
PROFILE
Cnascim1
Worked on the eastgenomics/eggd_conductor_configs repository to deliver robust configuration management for genomic analysis workflows over four months. Developed and maintained YAML and JSON-based configuration files supporting assays such as Haemonc, MYE, and lymphoma, ensuring alignment with evolving clinical and research requirements. Enhanced workflow orchestration by upgrading workflow versions, integrating tools like VEP and SpliceAI, and standardizing metadata for reproducibility and traceability. Addressed documentation hygiene and fixed configuration bugs to improve repository reliability. Emphasized clear version control and documentation using Markdown, enabling efficient onboarding and collaboration for bioinformatics teams while supporting high-quality, reproducible genomic data analysis.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
11Total
Bugs
2
Commits
11
Features
7
Lines of code
444
Activity Months4
Your Network
242 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for eastgenomics/eggd_conductor_configs: Focused on delivering a reusable, config-driven foundation for lymphoma genome analysis workflows. Introduced the lymphoma assay configuration file detailing workflows and executable applications, enabling reproducible analyses and faster onboarding for bioinformatics teams.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for eastgenomics/eggd_conductor_configs: Focused on delivering a reusable, config-driven foundation for lymphoma genome analysis workflows. Introduced the lymphoma assay configuration file detailing workflows and executable applications, enabling reproducible analyses and faster onboarding for bioinformatics teams.
February 2026
August 2025
3 Commits • 2 Features
Aug 1, 2025August 2025: Delivered key configuration enhancements in eastgenomics/eggd_conductor_configs, upgrading workflow and panel inputs, and fixed ATHENA metadata to improve reliability and reproducibility. The updates align with latest workflow versions and input schemas, enabling faster deployments and reducing misconfig risk.
August 2025
3 Commits • 2 Features
Aug 1, 2025August 2025: Delivered key configuration enhancements in eastgenomics/eggd_conductor_configs, upgrading workflow and panel inputs, and fixed ATHENA metadata to improve reliability and reproducibility. The updates align with latest workflow versions and input schemas, enabling faster deployments and reducing misconfig risk.
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025: Delivered key configuration enhancements for the eastgenomics/eggd_conductor_configs repo, strengthening annotation accuracy and clinical workflow reliability. Upgraded VEP configuration to v2.1.0 for MYE assays to ensure Mutect2 VCF and cgppindel VCF processing use the latest annotations. Integrated SpliceAI-related config fields and fixed a typo in the spliceai column name to ensure correct data processing. Enhanced clinical workflows by adding assay_code for top-up samples and subset_samplesheet codes for clinical samples, improving processing and reporting. All changes are well-documented with clear commits for traceability, enabling reproducibility and QA. Overall impact: Improved data quality and annotation fidelity, smoother clinical reporting, and stronger alignment with current best practices in variant annotation pipelines. Technologies/skills demonstrated: configuration management, version control and traceability, VEP and SpliceAI integration, clinical workflow configuration, and emphasis on data quality and reproducibility.
4 Commits • 3 Features
Jul 1, 2025July 2025: Delivered key configuration enhancements for the eastgenomics/eggd_conductor_configs repo, strengthening annotation accuracy and clinical workflow reliability. Upgraded VEP configuration to v2.1.0 for MYE assays to ensure Mutect2 VCF and cgppindel VCF processing use the latest annotations. Integrated SpliceAI-related config fields and fixed a typo in the spliceai column name to ensure correct data processing. Enhanced clinical workflows by adding assay_code for top-up samples and subset_samplesheet codes for clinical samples, improving processing and reporting. All changes are well-documented with clear commits for traceability, enabling reproducibility and QA. Overall impact: Improved data quality and annotation fidelity, smoother clinical reporting, and stronger alignment with current best practices in variant annotation pipelines. Technologies/skills demonstrated: configuration management, version control and traceability, VEP and SpliceAI integration, clinical workflow configuration, and emphasis on data quality and reproducibility.
July 2025
June 2025
3 Commits • 1 Features
Jun 1, 2025Month 2025-06 summary for eastgenomics/eggd_conductor_configs focusing on configuration refresh and documentation hygiene. Delivered a Haemonc Assay Configuration Refresh to align with new Haemonc capture requirements, updating version numbers and input resource paths (BED files, VEP settings) to reference the latest external resources. Executed a Changelog Typo Fix to improve accuracy of project history. The changes were implemented via targeted commits across feature work and documentation fixes, reflecting strong configuration management and repository hygiene.
June 2025
3 Commits • 1 Features
Jun 1, 2025Month 2025-06 summary for eastgenomics/eggd_conductor_configs focusing on configuration refresh and documentation hygiene. Delivered a Haemonc Assay Configuration Refresh to align with new Haemonc capture requirements, updating version numbers and input resource paths (BED files, VEP settings) to reference the latest external resources. Executed a Changelog Typo Fix to improve accuracy of project history. The changes were implemented via targeted commits across feature work and documentation fixes, reflecting strong configuration management and repository hygiene.
Activity
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Quality Metrics
Correctness92.8%
Maintainability92.8%
Architecture92.8%
Performance90.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownYAML
Technical Skills
Configuration ManagementDocumentationconfiguration managementgenomic data analysisworkflow orchestration
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