PHASE

PHASE performs haplotype reconstruction and recombination rate estimation from population genotype data using Bayesian statistical methods.

Key Features:

• Haplotype Reconstruction: Reconstructs haplotypes from population genotype data to infer phased individual- and population-level haplotypes.
• Recombination Rate Estimation: Estimates recombination rates to support genetic linkage mapping and analysis of recombination patterns.
• Bayesian Methodology: Implements Bayesian statistical methods with explicit prior models and computational strategies for haplotype inference.
• Algorithmic Innovation (Version 2.0): Version 2.0 synthesizes multiple Bayesian approaches into a hybrid algorithm that integrates modeling strategies and computational techniques from the compared methods.

Scientific Applications:

• Genetic Epidemiology: Identifying genetic factors linked to diseases through haplotype reconstruction and recombination rate estimation.
• Population Genetics: Analyzing genetic variation to study population structure and history.
• Evolutionary Biology: Investigating recombination patterns to understand evolutionary mechanisms and species adaptation.

Methodology:

PHASE compares three Bayesian methods for haplotype inference, contrasts their prior models and computational strategies, and Version 2.0 synthesizes these methods into a hybrid approach; performance was evaluated on real and simulated data.