计算器
阿卡克信息准则
选型
计算机科学
选择(遗传算法)
编码(社会科学)
非同义代换
替代(逻辑)
软件
集合(抽象数据类型)
数据挖掘
信息标准
最大似然
机器学习
算法
人工智能
数学
统计
生物
程序设计语言
生物化学
基因组
基因
操作系统
作者
Zhang Zhang,Jun Li,Xiaoqian Zhao,Jun Wang,Gane Ka‐Shu Wong,Jun Yu
标识
DOI:10.1016/s1672-0229(07)60007-2
摘要
KaKs_Calculator is a software package that calculates nonsynonymous (Ka) and synonymous (Ks) substitution rates through model selection and model averaging. Since existing methods for this estimation adopt their specific mutation (substitution) models that consider different evolutionary features, leading to diverse estimates, KaKs_Calculator implements a set of candidate models in a maximum likelihood framework and adopts the Akaike information criterion to measure fitness between models and data, aiming to include as many features as needed for accurately capturing evolutionary information in protein-coding sequences. In addition, several existing methods for calculating Ka and Ks are also incorporated into this software. KaKs_Calculator, including source codes, compiled executables, and documentation, is freely available for academic use at http://evolution.genomics.org.cn/software.htm.
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