染色体
多倍体
遗传算法
进化生物学
生物
概率逻辑
性格(数学)
计算机科学
遗传学
倍性
人工智能
数学
基因
几何学
作者
Marcial Escudero,Enrique Maguilla,José Ignacio Márquez‐Corro,Santiago Martín‐Bravo,Itay Mayrose,A. Shafir,Lu Tan,Carrie M. Tribble,Rosana Zenil‐Ferguson
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 529-547
被引量:1
标识
DOI:10.1007/978-1-0716-3226-0_32
摘要
The ChromEvol software was the first to implement a likelihood-based approach, using probabilistic models that depict the pattern of chromosome number change along a specified phylogeny. The initial models have been completed and expanded during the last years. New parameters that model polyploid chromosome evolution have been implemented in ChromEvol v.2. In recent years, new and more complex models have been developed. The BiChrom model is able to implement two distinct chromosome models for the two possible trait states of a binary character of interest. ChromoSSE jointly implements chromosome evolution, speciation, and extinction. In the near future, we will be able to study chromosome evolution with increasingly complex models.
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