HyPhy

HyPhy performs phylogenetic and molecular-evolutionary analyses of genetic sequences to infer substitution patterns, evolutionary rates, selection, and coevolving residues in protein-coding sequences.

Key Features:

• Coevolution Analysis: Employs Bayesian graphical models to detect coevolving residues by identifying correlated substitution events across branches of a molecular phylogeny and inferring coevolutionary networks among amino acids.
• Likelihood-Based Analyses: Supports likelihood-based analyses on multiple sequence alignments to examine rates and patterns of sequence evolution.
• Machine Learning Methodologies: Incorporates machine learning techniques, specifically Bayesian graphical models, for analysis of sequence data.
• Unified Platform for Sequence Evolution Studies: Integrates multiple analytical methods to study molecular sequence data comprehensively.
• Protein Sequence Analysis: Analyzes homologous protein-coding sequences to reveal functional and structural constraints on amino acids.

Scientific Applications:

• Protein Evolution Studies: Identifies coevolving residues and constraints to inform functional and structural interpretation of proteins.
• Phylogenetic Analysis: Analyzes molecular phylogenies and substitution events to study relationships among species or genes.
• Molecular Evolution Research: Examines substitution patterns and evolutionary rates to detect adaptive changes and conserved genomic regions.

Methodology:

Uses Bayesian graphical models to detect correlated substitution events across phylogenetic branches and infer coevolutionary networks among amino acids, and applies likelihood-based analyses on multiple sequence alignments to estimate rates and patterns of sequence evolution.