MAPpoly v. 0.4.1 Release Notes

MAPpoly v. 0.4.1 introduces parallelized pairwise analysis to improve computational efficiency. This version integrates RcppParallel, significantly reducing runtime for large datasets while maintaining accuracy and robustness in genetic map construction.

Key Updates in MAPpoly v. 0.4.1

• Parallelized Two-Point Analysis – The pairwise recombination fraction estimation step now leverages multi-core processing, improving computational performance.
• Improved Efficiency – Reduces processing time, particularly for datasets with many markers (>10,000).
• Scalability Enhancements – Optimized for high-performance computing (HPC) environments, enabling more efficient map construction for diploids and autopolyploids
• General Improvements & Bug Fixes – Various refinements to ensure stability and accuracy.

These updates enhance the package's ability to handle large and complex genetic datasets efficiently.