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Showing module(s) with keyword "gene evolution"

Module Kind Keywords Description
nf-core/hyphy/absrel Process positive selection branch-site selection gene evolution aBSREL (adaptive Branch-Site Random Effects Likelihood) identifies instances where a proportion of sites along specific branches or lineages of a phylogeny have undergone positive selection.
nf-core/hyphy/busted Process positive selection gene-wide gene evolution BUSTED (Branch-Site Unrestricted Statistical Test for Episodic Diversification) provides a gene-wide (not site-specific) test for positive selection by asking whether a gene has experienced positive selection at at least one site on at least one branch.
nf-core/hyphy/fel Process positive selection episodic selection gene evolution The Fixed Effects Likelihood (FEL) method is used to identify individual codons that have been subject to pervasive diversifying or purifying selection.
nf-core/hyphy/fubar Process positive selection pervasive selection gene evolution pathogen evolution large datasets FUBAR (Fast, Unconstrained Bayesian AppRoximation) uses a Bayesian approach to infer nonsynoymous (dN) and synonymous (dS) substitution rates on a per-site basis for a given coding alignment and corresponding phylogeny.
nf-core/hyphy/gard Process recombination pre-processing selection inference gene evolution GARD (Genetic Algorithm for Recombination Detection) is a method to screen a multiple sequence alignment for the presence of recombination and is extremely useful as a pre-processing step for selection inference.
nf-core/hyphy/meme Process positive selection episodic selection gene evolution The Mixed Effects Model of Evolution (MEME) is used to identify individual codon sites subject to episodic or pervasive positive selection.
nf-core/hyphy/slac Process pervasive selection site selection gene evolution The Single-Likelihood Ancestor Counting (SLAC) method is used to identify individual codon sites subject to pervasive diversifying or purifying selection.