Evaluation of an Improved Branch-Site Likelihood Method for Detecting Positive Selection at the Molecular Level
University of Michigan–Ann Arbor
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Abstract
Detecting positive Darwinian selection at the DNA sequence level has been a subject of considerable interest. However, positive selection is difficult to detect because it often operates episodically on a few amino acid sites, and the signal may be masked by negative selection. Several methods have been developed to test positive selection that acts on given branches (branch methods) or on a subset of sites (site methods). Recently, Yang, Z., and R. Nielsen (2002. Codon-substitution models for detecting molecular adaptation at individual sites along specific lineages. Mol. Biol. Evol. 19:908-917) developed likelihood ratio tests (LRTs) based on branch-site models to detect positive selection that affects a…
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Topics
Keywords
- Biology
- Selection (genetic algorithm)
- Negative selection
- Robustness (evolution)
- Likelihood-ratio test
- Positive selection
- Statistics
- Statistical hypothesis testing
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