geneontology/go-ontology
May 2025 – May 2025
1 Month active
Languages Used
TSV
Technical Skills
Data CleaningData CurationData ManagementOntology CurationOntology Engineering
Edith
PROFILE
Edith
Ed Wong focused on enhancing data integrity within the geneontology/go-ontology repository by addressing a complex taxonomic constraint issue affecting L-histidine and L-methionine biosynthetic processes. He applied data cleaning and curation skills to consolidate and standardize corrections across only_in_taxon.tsv and never_in_taxon.tsv files, ensuring accurate taxonomic representation. Using TSV and ontology engineering techniques, Ed removed problematic data rows, added new constraints, and improved formatting to stabilize downstream gene ontology annotations. His work, delivered through multiple traceable commits, improved the reliability and consistency of ontology data, supporting more accurate analyses and tooling for future data management and curation efforts.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
0
Lines of code
20
Activity Months1
Your Network
117 people
Work History
May 2025
4 Commits
May 1, 2025May 2025: Focused on improving data integrity for taxonomic constraints in geneontology/go-ontology. Completed a comprehensive taxonomic constraint data quality fix addressing issue #30110, consolidating corrections across only_in_taxon.tsv and never_in_taxon.tsv, stabilizing data representation for L-histidine and L-methionine biosynthetic processes, and enhancing dataset reliability for downstream annotations and analyses.
4 Commits
May 1, 2025May 2025: Focused on improving data integrity for taxonomic constraints in geneontology/go-ontology. Completed a comprehensive taxonomic constraint data quality fix addressing issue #30110, consolidating corrections across only_in_taxon.tsv and never_in_taxon.tsv, stabilizing data representation for L-histidine and L-methionine biosynthetic processes, and enhancing dataset reliability for downstream annotations and analyses.
May 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability100.0%
Architecture95.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
TSV
Technical Skills
Data CleaningData CurationData ManagementOntology CurationOntology Engineering
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