Detecting Amino Acid Sites Under Positive Selection and Purifying Selection
Detecting Amino Acid Sites Under Positive Selection and Purifying Selection is a scholarly work by Nick Goldman, published in 2005 in ''Genetics''. The main subjects of the publication include RNA sequencing, ribosome, biology, Directional selection, Nonsynonymous substitution, computational biology, population genetics, Synonymous substitution, evolutionary biology, neontology, purifying selection, genetics, and selection (genetic algorithm). The authors show that the SLR method can be more powerful than currently published methods for detecting the location of positive selection, especially in difficult cases where the strength of selection is low.