IGVF-DACC/igvf-catalog
Mar 2025 – Mar 2026
7 Months active
Languages Used
PythonSQLYAMLtypescriptyamlShellTypeScriptJSON
Technical Skills
API IntegrationBioinformaticsData ProcessingVariant AnnotationPythonbioinformatics
Shengcheng Dong
PROFILE
Shengcheng Dong
Worked on the IGVF-DACC/igvf-catalog repository, delivering features and enhancements that improved variant data processing, catalog integration, and data model reliability. Developed and refactored Python and TypeScript pipelines to support new data formats, including VCF and phenotype datasets, and implemented adapters for variant annotation and phenotype mapping. Enhanced schema design and configuration management using YAML, enabling standardized data ingestion and more robust downstream analytics. Addressed data deduplication, error handling, and legacy cleanup to ensure data integrity and maintainability. Integrated external resources such as the EBI eQTL Catalog, expanded variant-phenotype linkage, and improved test coverage to support reliable, scalable bioinformatics workflows.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
15Total
Bugs
3
Commits
15
Features
9
Lines of code
16,591
Activity Months7
Your Network
129 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 – IGVF-DACC/igvf-catalog: Delivered a new edge schema to link coding variants with phenotypes, refactored data handling and API interactions, removed deprecated references, and enhanced error logging to improve debugging and data integration. The work is anchored by DSERV-1156 (commit 8be938f667104cfc660221602d1bb9d5478d15f1), including reloading SGE edges, updating required fields, adding a hyperlink to the variant, and removing variants_phenotypes_coding_variants from adapter and schemas, plus support for files_filesets jsonl assets to aid ingestion workflows.
1 Commits • 1 Features
Mar 1, 2026March 2026 – IGVF-DACC/igvf-catalog: Delivered a new edge schema to link coding variants with phenotypes, refactored data handling and API interactions, removed deprecated references, and enhanced error logging to improve debugging and data integration. The work is anchored by DSERV-1156 (commit 8be938f667104cfc660221602d1bb9d5478d15f1), including reloading SGE edges, updating required fields, adding a hyperlink to the variant, and removing variants_phenotypes_coding_variants from adapter and schemas, plus support for files_filesets jsonl assets to aid ingestion workflows.
March 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered a key enhancement to the IGVF data catalog by integrating the EBI eQTL Catalog into IGVF-DACC/igvf-catalog. This work added EBI reference files, updated data_sources.yaml with new entries, refactored parsing logic to support the new catalog, and removed unused parameters. The result is a more capable, consistent data catalog with streamlined configuration and improved data discovery for downstream analyses.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered a key enhancement to the IGVF data catalog by integrating the EBI eQTL Catalog into IGVF-DACC/igvf-catalog. This work added EBI reference files, updated data_sources.yaml with new entries, refactored parsing logic to support the new catalog, and removed unused parameters. The result is a more capable, consistent data catalog with streamlined configuration and improved data discovery for downstream analyses.
August 2025
4 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for IGVF-DACC/igvf-catalog: Focused on delivering high-value data engineering features, stabilizing data models, and cleaning up legacy clutter to improve data reliability and developer productivity.
4 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for IGVF-DACC/igvf-catalog: Focused on delivering high-value data engineering features, stabilizing data models, and cleaning up legacy clutter to improve data reliability and developer productivity.
August 2025
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025: IGVF-DACC/igvf-catalog delivered robust variant data ingestion improvements, expanded format support, and new phenotype data adapters, strengthening data quality and enabling broader analyses. Key features include VCF support and flexible reference allele handling in the variant loader, enhancements to SEMpl data adapters for new formats and compressed inputs, and a coding_variants model upgrade to store protein identifiers. New adapters for SGE and cV2F phenotype data were added with validation, mapping, and database edge relationships, accompanied by tests. These changes reduce ingest errors, expand downstream annotation capabilities, and accelerate end-to-end variant-phenotype analytics. Tech stack and skills demonstrated include TypeScript data models, YAML-driven configurations, adapter development, test coverage, and handling of compressed data inputs.
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025: IGVF-DACC/igvf-catalog delivered robust variant data ingestion improvements, expanded format support, and new phenotype data adapters, strengthening data quality and enabling broader analyses. Key features include VCF support and flexible reference allele handling in the variant loader, enhancements to SEMpl data adapters for new formats and compressed inputs, and a coding_variants model upgrade to store protein identifiers. New adapters for SGE and cV2F phenotype data were added with validation, mapping, and database edge relationships, accompanied by tests. These changes reduce ingest errors, expand downstream annotation capabilities, and accelerate end-to-end variant-phenotype analytics. Tech stack and skills demonstrated include TypeScript data models, YAML-driven configurations, adapter development, test coverage, and handling of compressed data inputs.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 – IGVF catalog: Delivered a critical bug fix and data ingestion improvements that strengthen data integrity, catalog reliability, and business value. Focused on deduplication of dbxref data across UniProt records and enhanced file/linking pipelines using ENCODE URLs.
2 Commits • 1 Features
May 1, 2025May 2025 – IGVF catalog: Delivered a critical bug fix and data ingestion improvements that strengthen data integrity, catalog reliability, and business value. Focused on deduplication of dbxref data across UniProt records and enhanced file/linking pipelines using ENCODE URLs.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for IGVF-DACC/igvf-catalog: Focused on improving the gene data processing pipeline by implementing chromosome mapping and output formatting enhancements. Revisions to the gene adapter improved data processing reliability and alignment with downstream workflows. No major bugs fixed in this repository this month. The changes strengthen data quality, interoperability, and enable smoother downstream analytics, contributing to faster feature delivery and better decision-making for data consumers.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for IGVF-DACC/igvf-catalog: Focused on improving the gene data processing pipeline by implementing chromosome mapping and output formatting enhancements. Revisions to the gene adapter improved data processing reliability and alignment with downstream workflows. No major bugs fixed in this repository this month. The changes strengthen data quality, interoperability, and enable smoother downstream analytics, contributing to faster feature delivery and better decision-making for data consumers.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary: Implemented a protein-to-genetic variant mapping enhancement for CYP2C19 in igvf-catalog. A new script maps protein-level mutations (hVGS P) to corresponding genetic variants (hVGS C, hVGS G, SPDI) and generates comprehensive mapping files, improving variant representation accuracy and completeness. This supports more reliable pharmacogenomics analyses and downstream clinical decision support.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary: Implemented a protein-to-genetic variant mapping enhancement for CYP2C19 in igvf-catalog. A new script maps protein-level mutations (hVGS P) to corresponding genetic variants (hVGS C, hVGS G, SPDI) and generates comprehensive mapping files, improving variant representation accuracy and completeness. This supports more reliable pharmacogenomics analyses and downstream clinical decision support.
March 2025
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Quality Metrics
Correctness84.6%
Maintainability82.6%
Architecture84.0%
Performance74.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
JSONPythonSQLShellTypeScriptYAMLtypescriptyaml
Technical Skills
API IntegrationAPI integrationBackend DevelopmentBioinformaticsConfiguration ManagementData CurationData EngineeringData LoadingData ModelingData ParsingData ProcessingData StandardizationData TransformationDatabase ManagementFile Handling
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