Compare distance-based and character-based methods for phylogenetic tree construction.

Distance-based methods (UPGMA, Neighbor-Joining) convert sequences to a distance matrix and cluster based on pairwise distances. They are computationally fast but lose sequence information during matrix conversion. UPGMA assumes molecular clock (constant evolution rate), while Neighbor-Joining does not. Character-based methods (Maximum Parsimony, Maximum Likelihood, Bayesian) use sequence data directly. Maximum Parsimony finds trees minimizing evolutionary changes but can be inconsistent. Maximum Likelihood evaluates probability of data given a tree model, is statistically rigorous but computationally intensive. Bayesian methods estimate posterior probabilities of trees using MCMC sampling. ML and Bayesian methods are generally preferred for accuracy.