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CamITree:一款用于病毒和线粒体基因组系统发育分析的简化软件。

CamITree: a streamlined software for phylogenetic analysis of viral and mitochondrial genomes.

作者信息

Sun Peng, Yang Yu, Yuan Mengjie, Tang Qin

机构信息

College of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.

College of Life Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, China.

出版信息

BMC Bioinformatics. 2025 Feb 14;26(1):53. doi: 10.1186/s12859-025-06034-2.

Abstract

BACKGROUND

Over the past decade, the continuous and rapid advances in bioinformatics have led to an increasingly common use of molecular sequence comparison for phylogenetic analysis. However, the use of multi-software and cross-platform strategies has increased the complexity of phylogenetic tree estimation. Therefore, the development and application of streamlined phylogenetic analysis tools are growing in significance in the field of biology. Particularly for genomes with relatively short sequences, there is a lack of simple and integrative tools for phylogenetic analysis.

RESULTS

In this study, we present CamlTree (Concatenated alignments maximum-likelihood tree), a user-friendly desktop software designed to simplify phylogenetic analysis for viral and mitochondrial genomes, ultimately facilitating related research. CamlTree provides a workflow including gene concatenation (or coalescence), sequence alignment, alignment optimization, and the estimation of phylogenetic trees using both maximum-likelihood (ML) and Bayesian inference (BI) methods. CamlTree was written in TypeScript and developed using the Electron framework. It offers a primarily user-friendly interface based on the React framework.

CONCLUSIONS

CamlTree software has been released for the Windows OS. It integrates several popular analysis tools to optimize and simplify the process of estimating polygenic phylogenetic trees. The establishment of software can assist researchers in reducing their workload and enhancing data processing efficiency, enabling them to expedite their research progress. The software, along with a detailed user manual, is available at https://github.com/BioCrossCoder/camltree .

摘要

背景

在过去十年中,生物信息学的持续快速发展使得分子序列比较在系统发育分析中的应用越来越普遍。然而,多软件和跨平台策略的使用增加了系统发育树估计的复杂性。因此,简化的系统发育分析工具的开发和应用在生物学领域变得越来越重要。特别是对于序列相对较短的基因组,缺乏用于系统发育分析的简单且集成的工具。

结果

在本研究中,我们展示了CamlTree(串联比对最大似然树),这是一款用户友好的桌面软件,旨在简化病毒和线粒体基因组的系统发育分析,最终促进相关研究。CamlTree提供了一个工作流程,包括基因串联(或合并)、序列比对、比对优化以及使用最大似然(ML)和贝叶斯推断(BI)方法估计系统发育树。CamlTree用TypeScript编写,并使用Electron框架开发。它提供了一个基于React框架的主要用户友好界面。

结论

CamlTree软件已针对Windows操作系统发布。它集成了几个流行的分析工具,以优化和简化多基因系统发育树估计的过程。该软件的建立可以帮助研究人员减轻工作量并提高数据处理效率,使他们能够加快研究进展。该软件以及详细的用户手册可在https://github.com/BioCrossCoder/camltree获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb29/11829546/cc3d54951d1d/12859_2025_6034_Fig1_HTML.jpg

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