Rose: generating sequence families
Rose: generating sequence families
复制标题
DOI：
10.1093/bioinformatics/14.2.157
复制
发表时间：
1998-01-01
期刊：
影响因子：
5.8
通讯作者：
Meyer, F
中科院分区：
文献类型：
--
作者：
Stoye, J;Evers, D;Meyer, F
动机：我们提出了一个新的概率模型的进化的RNA，DNA，或蛋白质样序列和软件工具，玫瑰，实现了这个模型。在进化树的指导下，通过插入、删除和替换字符，从共同的祖先序列创建一个相关序列家族。在这个人工进化过程中，“真实的”历史记录和“正确的”多序列比对是同时创建的模型还允许不同的序列内的突变率，使其有可能建立所谓的序列motifs.Results：由玫瑰创建的数据是适合于多序列比对计算和预测系统发育关系的方法的评估。它也可以是有用的，当达到课程或开发模型的序列进化和进化过程的研究。
Motivation: We present a new probabilistic model of the evolution of RNA-, DNA-, ol protein-like sequences and a software tool, Rose, that implements this model. Guided by an evolutionary tree, a family of related sequences is created from a common ancestor sequence by insertion, deletion and substitution of characters. During this artificial evolutionary process, the 'true' history is logged and the 'correct' multiple sequence alignment is created simultaneously The model also allows for varying rates of mutation within the sequences, making it possible to establish so-called sequence motifs.Results: The data created by Rose are suitable for the evaluation of methods in multiple sequence alignment computation and the prediction of phylogenetic relationships. It can also be useful when reaching courses in or developing models of sequence evolution and in the study of evolutionary processes.