A random effects branch-site model for detecting episodic diversifying selection.

432 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

RELAX: detecting relaxed selection in a phylogenetic framework. (2014, background): “An ! distribution can be thought of as an evolutionary fingerprint characterizing the evolutionary pattern of the gene, where a small subset of sites can have very large ! values even when the majority of sites evolved under strong purifying selection (Kosakovsky Pond, Scheffler, et al. 2010).”
Gene-wide identification of episodic selection. (2015, methodology): “The latter is essential lest the test be confounded by unmodeled positive selection on “background” branches (Kosakovsky Pond et al. 2011).”
Detecting Individual Sites Subject to Episodic Diversifying Selection (2012, methodology): “We present a mixed effects model of evolution (MEME), based on the broad class of branch-site random effects phylogenetic methods recently developed by our group [20].”
Molecular Evolution of Human Coronavirus Genomes (2016, neutral): “Different methods allow to test a prioriwhether a branch is under selection [74,75] or tomodel different evolutionary scenarios for each branch [76].”