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The article compares three methods for detecting positive selection in molecular sequences: maximum likelihood (PAML), parsimony (ADAPTSITE), and Bayesian (MRBAYES). It highlights the strengths and weaknesses of each method when applied to datasets with varying levels of phylogenetic uncertainty, including abalone sperm lysin and SARS coronavirus sequences. The study aims to address discrepancies in results from previous analyses and provide a clearer understanding of the effectiveness of these methodologie

Author

Heidy

Language

EN