Suppr超能文献

shinyTempSignal:一个用于探索时间和其他系统发育信号的 R shiny 应用程序。

shinyTempSignal: an R shiny application for exploring temporal and other phylogenetic signals.

机构信息

Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.

Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China; Faculty of Computers, Guangdong University of Technology, Guangzhou, Guangdong 510006, China.

出版信息

J Genet Genomics. 2024 Jul;51(7):762-768. doi: 10.1016/j.jgg.2024.02.004. Epub 2024 Feb 26.

Abstract

The molecular clock model is fundamental for inferring species divergence times from molecular sequences. However, its direct application may introduce significant biases due to sequencing errors, recombination events, and inaccurately labeled sampling times. Improving accuracy necessitates rigorous quality control measures to identify and remove potentially erroneous sequences. Furthermore, while not all branches of a phylogenetic tree may exhibit a clear temporal signal, specific branches may still adhere to the assumptions, with varying evolutionary rates. Supporting a relaxed molecular clock model better aligns with the complexities of evolution. The root-to-tip regression method has been widely used to analyze the temporal signal in phylogenetic studies and can be generalized for detecting other phylogenetic signals. Despite its utility, there remains a lack of corresponding software implementations for broader applications. To address this gap, we present shinyTempSignal, an interactive web application implemented with the shiny framework, available as an R package and publicly accessible at https://github.com/YuLab-SMU/shinyTempSignal. This tool facilitates the analysis of temporal and other phylogenetic signals under both strict and relaxed models. By extending the root-to-tip regression method to diverse signals, shinyTempSignal helps in the detection of evolving features or traits, thereby laying the foundation for deeper insights and subsequent analyses.

摘要

分子钟模型是从分子序列推断物种分歧时间的基础。然而,由于测序错误、重组事件和采样时间标记不准确,其直接应用可能会引入显著的偏差。为了提高准确性,需要采取严格的质量控制措施来识别和去除可能存在错误的序列。此外,虽然系统发育树上的所有分支不一定都表现出清晰的时间信号,但特定的分支可能仍然符合假设的进化率。支持放松的分子钟模型更符合进化的复杂性。根到尖端回归方法已广泛应用于系统发育研究中的时间信号分析,并可推广用于检测其他系统发育信号。尽管它很有用,但仍缺乏更广泛应用的相应软件实现。为了解决这一差距,我们提出了 shinyTempSignal,这是一个使用 shiny 框架实现的交互式网络应用程序,作为一个 R 包提供,并可在 https://github.com/YuLab-SMU/shinyTempSignal 上公开访问。该工具可在严格和放松模型下分析时间和其他系统发育信号。通过将根到尖端回归方法扩展到多种信号,shinyTempSignal 有助于检测进化特征或性状,从而为更深入的见解和后续分析奠定基础。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验