paup

paup performs phylogenetic inference from genetic sequence data using parsimony, maximum likelihood, and distance-based methods to reconstruct and evaluate evolutionary trees, including analyses of mitochondrial DNA.

Key Features:

• Parsimony analysis: Implements parsimony criteria for phylogenetic tree inference and evaluation.
• Maximum likelihood: Implements maximum likelihood estimation for tree inference under explicit models of sequence evolution.
• Distance-based methods: Supports distance-based approaches for reconstructing phylogenetic trees.
• Sequence data input: Supports importing sequence data in non-NEXUS formats.
• Tree searching options: Provides a range of searching options to explore tree space and identify optimal trees.
• Model comparison: Facilitates comparison of model-free approaches and model-based methods to assess advantages and limitations.

Scientific Applications:

• Phylogenetic inference: Inferring optimal evolutionary trees from genetic sequence data using parsimony, likelihood, or distance methods.
• Mitochondrial DNA analysis: Analyzing mitochondrial DNA sequences to infer relationships and evolutionary histories.
• Methodological evaluation: Comparing model-free and model-based phylogenetic methods to evaluate assumptions and performance.
• Hypothesis exploration: Exploring and refining evolutionary hypotheses through tree search and model-based inference.

Methodology:

Uses parsimony, maximum likelihood, and distance-based computational approaches; example analyses apply both parsimony and likelihood criteria to infer optimal phylogenetic trees and contrast model-free versus model-based methods.