系统发育网络的分析优化。

IF 3.9 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Cladistics Pub Date : 2023-07-19 DOI:10.1111/cla.12552
Ward C. Wheeler, Alexander J. Washburn
{"title":"系统发育网络的分析优化。","authors":"Ward C. Wheeler,&nbsp;Alexander J. Washburn","doi":"10.1111/cla.12552","DOIUrl":null,"url":null,"abstract":"<p>An algorithm is described for the optimization of character data (e.g. qualitative, nucleic acid sequence) on softwired phylogenetic networks. The algorithm presented here is an extension of those developed for trees under the parsimony criterion and can form the basis for phylogenetic network search procedures. Although the problem is (in general) an NP-Hard optimization, the resolution-based algorithm we describe here capitalizes on the significant amount of shared structure in sub-graphs containing network edges, reducing the execution time and allowing for the analysis of empirical datasets.</p>","PeriodicalId":50688,"journal":{"name":"Cladistics","volume":"39 5","pages":"456-474"},"PeriodicalIF":3.9000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parsimony optimization of phylogenetic networks\",\"authors\":\"Ward C. Wheeler,&nbsp;Alexander J. Washburn\",\"doi\":\"10.1111/cla.12552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>An algorithm is described for the optimization of character data (e.g. qualitative, nucleic acid sequence) on softwired phylogenetic networks. The algorithm presented here is an extension of those developed for trees under the parsimony criterion and can form the basis for phylogenetic network search procedures. Although the problem is (in general) an NP-Hard optimization, the resolution-based algorithm we describe here capitalizes on the significant amount of shared structure in sub-graphs containing network edges, reducing the execution time and allowing for the analysis of empirical datasets.</p>\",\"PeriodicalId\":50688,\"journal\":{\"name\":\"Cladistics\",\"volume\":\"39 5\",\"pages\":\"456-474\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2023-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cladistics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cla.12552\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EVOLUTIONARY BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cladistics","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cla.12552","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

描述了一种用于在软连线系统发育网络上优化特征数据(例如定性核酸序列)的算法。这里提出的算法是在简约准则下为树开发的算法的扩展,可以形成系统发育网络搜索程序的基础。尽管这个问题(通常)是NP难优化,但我们在这里描述的基于分辨率的算法利用了包含网络边缘的子图中大量的共享结构,减少了执行时间,并允许对经验数据集进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parsimony optimization of phylogenetic networks

An algorithm is described for the optimization of character data (e.g. qualitative, nucleic acid sequence) on softwired phylogenetic networks. The algorithm presented here is an extension of those developed for trees under the parsimony criterion and can form the basis for phylogenetic network search procedures. Although the problem is (in general) an NP-Hard optimization, the resolution-based algorithm we describe here capitalizes on the significant amount of shared structure in sub-graphs containing network edges, reducing the execution time and allowing for the analysis of empirical datasets.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cladistics
Cladistics 生物-进化生物学
CiteScore
8.60
自引率
5.60%
发文量
34
期刊介绍: Cladistics publishes high quality research papers on systematics, encouraging debate on all aspects of the field, from philosophy, theory and methodology to empirical studies and applications in biogeography, coevolution, conservation biology, ontogeny, genomics and paleontology. Cladistics is read by scientists working in the research fields of evolution, systematics and integrative biology and enjoys a consistently high position in the ISI® rankings for evolutionary biology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信