IGVF-DACC/igvf-catalog
Feb 2025 – Apr 2025
3 Months active
Languages Used
PythonJSON
Technical Skills
Adapter DevelopmentData EngineeringData AdaptationPythonTestingAPI Integration
ian-whaling
PROFILE
Ian-whaling
Over a three-month period, contributed to the IGVF-DACC/igvf-catalog repository by building and refining data processing infrastructure for genomic variant analysis. Developed a BlueSTARRVariantElement adapter in Python to ingest and map TSV variant data, integrating it into the existing pipeline for improved regulatory-region impact analysis. Enhanced data quality by implementing SPDI identifier validation via external API integration and introduced a robust variant data loader with deduplication and traceability features. Addressed data integrity issues through targeted bug fixes and expanded test coverage, leveraging skills in API integration, data engineering, and file handling to deliver scalable, reliable, and maintainable solutions for variant annotation workflows.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
191
Activity Months3
Your Network
7 peopleWork History
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for IGVF-DACC/igvf-catalog focused on enhancing data quality, pipeline reliability, and traceability through targeted feature delivery and stability fixes. Key features delivered: - SPDI Identifier Validation in Data Processing: Added a function to validate SPDI identifiers against an external API and integrated it into the data processing pipeline to filter out invalid variant data, reducing downstream noise and improving dataset quality. (Commit: b79ee2d1be5bba2cdffbb251a7a4ac5922bd5ec9) - Variant Data Loader for BlueSTARR TSV: Introduced a new variant loader to process BlueSTARR TSV files, with checks for already-loaded variants, logging of missing variants to missing_variants.jsonl, and refined construction/write of variant and regulatory region IDs. This improves data completeness and write reliability. (Commit: 48dbe5e697b741fb7c5097c0e36d6312ed42ce83) - Stable Regulatory Region Element ID Generation: Fixed element ID generation by appending a specific string to the regulatory region ID to ensure consistent and correct identification of BlueSTARR variant elements, reducing mismatches and downstream processing errors. (Commit: ea833cccb7b13a511d417d3961fb64df6237bddb) Overall impact: - Enabled proactive validation and filtering of variant data, resulting in higher confidence datasets for downstream analyses. - Improved data onboarding and logging, leading to better traceability and quicker issue resolution. - Strengthened ID stability across regulatory region elements, reducing element-level inconsistencies. Technologies/skills demonstrated: - Python data processing and ETL integration, API validation, and file I/O handling. - Versioned changes with clear commit messages, facilitating maintainability and collaboration. - Data quality focus: deduplication checks, missing data logging, and consistent ID generation.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for IGVF-DACC/igvf-catalog focused on enhancing data quality, pipeline reliability, and traceability through targeted feature delivery and stability fixes. Key features delivered: - SPDI Identifier Validation in Data Processing: Added a function to validate SPDI identifiers against an external API and integrated it into the data processing pipeline to filter out invalid variant data, reducing downstream noise and improving dataset quality. (Commit: b79ee2d1be5bba2cdffbb251a7a4ac5922bd5ec9) - Variant Data Loader for BlueSTARR TSV: Introduced a new variant loader to process BlueSTARR TSV files, with checks for already-loaded variants, logging of missing variants to missing_variants.jsonl, and refined construction/write of variant and regulatory region IDs. This improves data completeness and write reliability. (Commit: 48dbe5e697b741fb7c5097c0e36d6312ed42ce83) - Stable Regulatory Region Element ID Generation: Fixed element ID generation by appending a specific string to the regulatory region ID to ensure consistent and correct identification of BlueSTARR variant elements, reducing mismatches and downstream processing errors. (Commit: ea833cccb7b13a511d417d3961fb64df6237bddb) Overall impact: - Enabled proactive validation and filtering of variant data, resulting in higher confidence datasets for downstream analyses. - Improved data onboarding and logging, leading to better traceability and quicker issue resolution. - Strengthened ID stability across regulatory region elements, reducing element-level inconsistencies. Technologies/skills demonstrated: - Python data processing and ETL integration, API validation, and file I/O handling. - Versioned changes with clear commit messages, facilitating maintainability and collaboration. - Data quality focus: deduplication checks, missing data logging, and consistent ID generation.
April 2025
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for IGVF-DACC/igvf-catalog focused on data integrity and testing improvements. Implemented a critical data correctness fix in the BlueSTARR Variant Elements Adapter (log2FC mapping and SOURCE_URL) and expanded test coverage to validate downstream data processing.
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for IGVF-DACC/igvf-catalog focused on data integrity and testing improvements. Implemented a critical data correctness fix in the BlueSTARR Variant Elements Adapter (log2FC mapping and SOURCE_URL) and expanded test coverage to validate downstream data processing.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly recap for IGVF-DACC/igvf-catalog focused on delivering a new data adapter to ingest TSV variant element data and integrating it into the catalog processing pipeline. This work enhances variant data processing, mapping, and downstream regulatory-region impact analysis, contributing to data quality, pipeline readiness, and scalable data ingestion.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly recap for IGVF-DACC/igvf-catalog focused on delivering a new data adapter to ingest TSV variant element data and integrating it into the catalog processing pipeline. This work enhances variant data processing, mapping, and downstream regulatory-region impact analysis, contributing to data quality, pipeline readiness, and scalable data ingestion.
February 2025
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture76.0%
Performance64.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
API IntegrationAdapter DevelopmentData AdaptationData EngineeringData ProcessingFile HandlingPythonTestingVariant Annotation
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