EvolEcolGroup/tidypopgen
Nov 2024 – Oct 2025
10 Months active
Languages Used
C++RR MarkdownVCFYAMLShellPythonMarkdown
Technical Skills
BioinformaticsC++ ProgrammingConfiguration ManagementData AnalysisData ManipulationData Visualization
eviecarter33
PROFILE
Eviecarter33
Evie Carter developed and maintained the EvolEcolGroup/tidypopgen repository, delivering robust bioinformatics workflows for population genetics and genomics data analysis. Over ten months, she engineered features for grouped quality control, haploid/VCF parsing, PCA, and kinship analysis, emphasizing reproducibility and data integrity. Using R, C++, and Python, Evie implemented comprehensive testing, documentation, and code refactoring to ensure reliability and cross-platform compatibility. Her work included expanding example coverage, improving error handling, and aligning documentation with evolving code. By addressing edge cases and enhancing usability, Evie established a maintainable, production-ready codebase that supports scalable, accurate analyses for genetics research pipelines.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
152Total
Bugs
25
Commits
152
Features
43
Lines of code
22,232
Activity Months10
Your Network
3 peopleShared Repositories
3
Work History
October 2025
1 Commits
Oct 1, 20252025-10: Deprecation cleanup in EvolEcolGroup/tidypopgen; removed Interpolating Heterozygosity vignette and its precompilation script (HGDP example); no new features released; focused on codebase cleanliness and documentation alignment, setting stage for updated examples and datasets.
1 Commits
Oct 1, 20252025-10: Deprecation cleanup in EvolEcolGroup/tidypopgen; removed Interpolating Heterozygosity vignette and its precompilation script (HGDP example); no new features released; focused on codebase cleanliness and documentation alignment, setting stage for updated examples and datasets.
October 2025
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for EvolEcolGroup/tidypopgen focused on documentation quality,Dependency hygiene, and CRAN readiness to improve reliability and business value. Improvements were delivered through targeted documentation updates and robust example handling, setting the stage for a smooth CRAN resubmission and better end-user experience.
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for EvolEcolGroup/tidypopgen focused on documentation quality,Dependency hygiene, and CRAN readiness to improve reliability and business value. Improvements were delivered through targeted documentation updates and robust example handling, setting the stage for a smooth CRAN resubmission and better end-user experience.
June 2025
17 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary focused on delivering business value through expanded documentation, robust example coverage, and targeted bug fixes for Tidypopgen. The work enhances usability, reproducibility, and maintainability, setting a solid foundation for user onboarding and future adoption.
17 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary focused on delivering business value through expanded documentation, robust example coverage, and targeted bug fixes for Tidypopgen. The work enhances usability, reproducibility, and maintainability, setting a solid foundation for user onboarding and future adoption.
June 2025
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for EvolEcolGroup/tidypopgen: focused on improving plotting robustness, test coverage, and reliability of the MAF-based autoplot workflow. All changes align with reducing user-reported plotting errors and preserving data integrity across analyses.
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for EvolEcolGroup/tidypopgen: focused on improving plotting robustness, test coverage, and reliability of the MAF-based autoplot workflow. All changes align with reducing user-reported plotting errors and preserving data integrity across analyses.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (EvolEcolGroup/tidypopgen) focused on improving documentation for kinship analysis features to enhance user onboarding, reduce misconfiguration, and support correct usage of kings_threshold and pairwise_king. No major code fixes this month; primary deliverable was documentation improvements to clarify usage, outputs, and relationships among features.
2 Commits • 1 Features
Apr 1, 2025April 2025 (EvolEcolGroup/tidypopgen) focused on improving documentation for kinship analysis features to enhance user onboarding, reduce misconfiguration, and support correct usage of kings_threshold and pairwise_king. No major code fixes this month; primary deliverable was documentation improvements to clarify usage, outputs, and relationships among features.
April 2025
March 2025
42 Commits • 9 Features
Mar 1, 2025March 2025: Delivered robust testing, code quality, and cross-platform improvements for tidypopgen. Implemented comprehensive tests for loci_missingness and gt_roh_window, consolidated styling and docs across core modules, and implemented stability fixes that enhance reliability, performance, and user experience. Achieved stronger parallelization support and improved documentation workflows, positioning the project for scalable analyses and easier maintenance.
March 2025
42 Commits • 9 Features
Mar 1, 2025March 2025: Delivered robust testing, code quality, and cross-platform improvements for tidypopgen. Implemented comprehensive tests for loci_missingness and gt_roh_window, consolidated styling and docs across core modules, and implemented stability fixes that enhance reliability, performance, and user experience. Achieved stronger parallelization support and improved documentation workflows, positioning the project for scalable analyses and easier maintenance.
February 2025
16 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EvolEcolGroup/tidypopgen. Focused on expanding test coverage, hardening core workflows, and delivering PCA and data-integrity enhancements that increase reliability, accuracy, and business value for downstream analyses. Key outcomes: - Robustness and test coverage: Implemented comprehensive Fst edge-case tests for pairwise_fst and pairwise_pop_fst, including scenarios with monomorphic alleles, missing data, and per-variant by-locus checks against scikit-allel. This reduces rework and ensures correct handling of edge cases in production analyses. - PCA enhancements and visualization: Refactored variance calculations in gt_pca, added a total_var option for autoSVD and randomSVD, and improved autoplot axis labels to show explained variance, enabling clearer interpretation of PCA results for stakeholders. - Locus ordering and backing-file integrity: Improved gt_order_loci and gt_update_backingfile to correctly manage unsorted/duplicated distances, propagate rm_unsorted_dist, and support use_current_table edge cases, supported by thorough tests. - Grouped kinship/relatedness filtering: Implemented group-scoped kinship filtering in qc_report_indiv, updated related reporting paths, and extended autoplot tests to ensure stable outputs when grouping is involved. - Missing data handling improvements: Added na.rm = TRUE to WC84 and Nei calculations and cleaned up non-essential warnings, increasing robustness of results on real-world datasets. Overall impact: - Enhanced reliability and correctness of genetic distance, PCA, and kinship analyses. - Better alignment with business needs by reducing risk of incorrect results, improving interpretability of plots, and enabling scalable analyses across groups. - Strengthened testing discipline (multiple commits across tests, edge-case coverage, and regression tests), facilitating future maintenance. Technologies and skills demonstrated: - R and Python integration (scikit-allel validation in tests), SVD-based PCA implementations, and R Markdown testing. - Advanced testing strategies (edge cases, grouping, and data integrity checks). - Version control discipline with targeted commits for tests, refactors, and bug fixes.
16 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EvolEcolGroup/tidypopgen. Focused on expanding test coverage, hardening core workflows, and delivering PCA and data-integrity enhancements that increase reliability, accuracy, and business value for downstream analyses. Key outcomes: - Robustness and test coverage: Implemented comprehensive Fst edge-case tests for pairwise_fst and pairwise_pop_fst, including scenarios with monomorphic alleles, missing data, and per-variant by-locus checks against scikit-allel. This reduces rework and ensures correct handling of edge cases in production analyses. - PCA enhancements and visualization: Refactored variance calculations in gt_pca, added a total_var option for autoSVD and randomSVD, and improved autoplot axis labels to show explained variance, enabling clearer interpretation of PCA results for stakeholders. - Locus ordering and backing-file integrity: Improved gt_order_loci and gt_update_backingfile to correctly manage unsorted/duplicated distances, propagate rm_unsorted_dist, and support use_current_table edge cases, supported by thorough tests. - Grouped kinship/relatedness filtering: Implemented group-scoped kinship filtering in qc_report_indiv, updated related reporting paths, and extended autoplot tests to ensure stable outputs when grouping is involved. - Missing data handling improvements: Added na.rm = TRUE to WC84 and Nei calculations and cleaned up non-essential warnings, increasing robustness of results on real-world datasets. Overall impact: - Enhanced reliability and correctness of genetic distance, PCA, and kinship analyses. - Better alignment with business needs by reducing risk of incorrect results, improving interpretability of plots, and enabling scalable analyses across groups. - Strengthened testing discipline (multiple commits across tests, edge-case coverage, and regression tests), facilitating future maintenance. Technologies and skills demonstrated: - R and Python integration (scikit-allel validation in tests), SVD-based PCA implementations, and R Markdown testing. - Advanced testing strategies (edge cases, grouping, and data integrity checks). - Version control discipline with targeted commits for tests, refactors, and bug fixes.
February 2025
January 2025
29 Commits • 11 Features
Jan 1, 2025January 2025 monthly summary for EvolEcolGroup/tidypopgen highlighting GT-SNMF work, robustness improvements, and expanded testing. Focused on delivering core GT-SNMF capabilities, stabilizing data input paths, fixing Q-matrix behaviors, and enhancing documentation and user onboarding to drive reliable, scalable usage in production pipelines.
January 2025
29 Commits • 11 Features
Jan 1, 2025January 2025 monthly summary for EvolEcolGroup/tidypopgen highlighting GT-SNMF work, robustness improvements, and expanded testing. Focused on delivering core GT-SNMF capabilities, stabilizing data input paths, fixing Q-matrix behaviors, and enhancing documentation and user onboarding to drive reliable, scalable usage in production pipelines.
December 2024
26 Commits • 11 Features
Dec 1, 2024December 2024 monthly summary focused on strengthening test coverage, stability, and usability of EvolEcolGroup/tidypopgen. The team delivered key features, fixed critical issues, and advanced plotting and versioning behavior to improve reliability and business value.
26 Commits • 11 Features
Dec 1, 2024December 2024 monthly summary focused on strengthening test coverage, stability, and usability of EvolEcolGroup/tidypopgen. The team delivered key features, fixed critical issues, and advanced plotting and versioning behavior to improve reliability and business value.
December 2024
November 2024
16 Commits • 4 Features
Nov 1, 2024November 2024 focused on delivering robust grouped data capabilities, performance improvements, and end-to-end haploid/VCF and ADMIXTURE workflows in EvolEcolGroup/tidypopgen. The work enhanced data quality, reproducibility, and business value across QC, LD-based analyses, genotype parsing, and ancestry inference pipelines.
November 2024
16 Commits • 4 Features
Nov 1, 2024November 2024 focused on delivering robust grouped data capabilities, performance improvements, and end-to-end haploid/VCF and ADMIXTURE workflows in EvolEcolGroup/tidypopgen. The work enhanced data quality, reproducibility, and business value across QC, LD-based analyses, genotype parsing, and ancestry inference pipelines.
Activity
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Quality Metrics
Correctness90.6%
Maintainability90.6%
Architecture85.4%
Performance80.8%
AI Usage20.6%
Skills & Technologies
Programming Languages
C++MarkdownPythonRR MarkdownShellVCFYAML
Technical Skills
BioinformaticsBug FixC++ ProgrammingCode CleanupCode FormattingCode LintingCode MaintenanceCode OrganizationCode RefactoringCode StylingCode lintingCode refactoringCode stylingConfiguration ManagementData Analysis
Repositories Contributed To
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