2019
DOI: 10.1002/ece3.5015
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EasyCodeML: A visual tool for analysis of selection using CodeML

Abstract: The genomic signatures of positive selection and evolutionary constraints can be detected by analyses of nucleotide sequences. One of the most widely used programs for this purpose is CodeML, part of the PAML package. Although a number of bioinformatics tools have been developed to facilitate the use of CodeML, these have various limitations. Here, we present a wrapper tool named EasyCodeML that provides a user‐friendly graphical interface for using CodeML. EasyCodeML has a custom running mode in which paramet… Show more

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Cited by 323 publications
(296 citation statements)
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“…Positive selection was detected using EasyCodeML [42], a recently published wrapper of CODEML [20]. The M7 and M8 models were compared.…”
Section: Positively Selected Amino Acidsmentioning
confidence: 99%
“…Positive selection was detected using EasyCodeML [42], a recently published wrapper of CODEML [20]. The M7 and M8 models were compared.…”
Section: Positively Selected Amino Acidsmentioning
confidence: 99%
“…The positively selected sites were evaluated using maximum-likelihood (ML) method implemented in MEGA. A site model was selected for the positively selected sites, and the parameters under seven different codon substitution models and their performances were evaluated using likelihood ratio tests (LRTs) implemented in EasyCodeML 1.2 [13] . The animal experiments were carried out according to the Animal Experiment Committee of Henan Academy of Agricultural Sciences (Approval number SYXK 2014-0007).…”
Section: Methodsmentioning
confidence: 99%
“…The program EasyCodeML (Gao et al, 2019) was used to analyze the selective pressure on mitogenomes; this is an interactive visual tool for detecting selection in a molecular evolutionary analysis based on CodeML (Yang, 2007). The ω ratio is the rate of nonsynonymous (dN ) versus synonymous (dS) substitution (dN /dS) and can indicate natural selection acting on the proteins.…”
Section: Analysis Of Positive Selectionmentioning
confidence: 99%