
Contributed to the PlasmoGenEpi/PGEcore repository by delivering three new features focused on improving usability and integration for genetic epidemiology workflows. Developed enhancements to the Dcifer wrapper, including a new single-locus allele frequency module and flexible data handling, while refining multi-locus allele frequency estimation through new R scripts and input validation. Updated naive frequency output estimators to streamline downstream analysis and onboarding. All work emphasized reproducibility, clear documentation, and robust data processing using R, JSON, and Markdown. During the following month, maintained repository stability and alignment with project standards, ensuring readiness for future development cycles without introducing new changes.
Month: 2026-03 — PGEcore (PlasmoGenEpi/PGEcore) delivered no new features or bug fixes in March 2026 based on the provided data. The month was focused on stabilization and readiness for upcoming work cycles, with no changes committed to PGEcore during this period.
Month: 2026-03 — PGEcore (PlasmoGenEpi/PGEcore) delivered no new features or bug fixes in March 2026 based on the provided data. The month was focused on stabilization and readiness for upcoming work cycles, with no changes committed to PGEcore during this period.
February 2026 (2026-02) monthly wrap-up for PlasmoGenEpi/PGEcore. Key features delivered include extensive usability and integration improvements to the Dcifer wrapper, a new Dcifer SLAF wrapper, and enhancements to multi-locus allele frequency estimation workflows. Also completed updates to naive frequency output estimators for better usability and downstream integration. These changes collectively strengthen end-to-end analysis, reproducibility, and data handling across loci and samples, enabling more accurate COI estimation and faster onboarding for new users.
February 2026 (2026-02) monthly wrap-up for PlasmoGenEpi/PGEcore. Key features delivered include extensive usability and integration improvements to the Dcifer wrapper, a new Dcifer SLAF wrapper, and enhancements to multi-locus allele frequency estimation workflows. Also completed updates to naive frequency output estimators for better usability and downstream integration. These changes collectively strengthen end-to-end analysis, reproducibility, and data handling across loci and samples, enabling more accurate COI estimation and faster onboarding for new users.

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