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PhyKIT:系统发育基因组学的多功能工具

PhyKIT: A Multitool for Phylogenomics.

机构信息

Howards Hughes Medical Institute and the Department of Molecular and Cell Biology, University of California, Berkeley, California.

Metazoa Phylogenomics Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.

出版信息

Curr Protoc. 2024 Nov;4(11):e70016. doi: 10.1002/cpz1.70016.

Abstract

Multiple sequence alignments and phylogenetic trees are rich in biological information and are fundamental to research in biology. PhyKIT is a tool for processing and analyzing the information content of multiple sequence alignments and phylogenetic trees. Here, we describe how to use PhyKIT for diverse analyses, including (i) constructing a phylogenomic supermatrix, (ii) detecting errors in orthology inference, (iii) quantifying biases in phylogenomic data sets, (iv) identifying radiation events or lack of resolution using gene support frequencies, and (v) conducting evolution-based screens to facilitate gene function prediction. Several PhyKIT functions that streamline multiple sequence alignment and phylogenetic processing-such as renaming FASTA entries or tree tips-are also discussed. These protocols demonstrate how simple command-line operations in the unified framework of PhyKIT facilitate diverse phylogenomic data analysis and processing, from supermatrix construction and diagnosis to gaining clues about gene function. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Installing PhyKIT and syntax for usage Basic Protocol 2: Constructing a phylogenomic supermatrix Basic Protocol 3: Detecting anomalies in orthology relationships Basic Protocol 4: Quantifying biases in phylogenomic data matrices and related measures Basic Protocol 5: Identifying polytomies Basic Protocol 6: Assessing gene-gene coevolution as a genetic screen.

摘要

多序列比对和系统发育树富含生物学信息,是生物学研究的基础。PhyKIT 是一种用于处理和分析多序列比对和系统发育树信息内容的工具。在这里,我们将介绍如何使用 PhyKIT 进行各种分析,包括 (i) 构建基因组超级矩阵,(ii) 检测同源推断中的错误,(iii) 量化基因组数据集的偏差,(iv) 使用基因支持频率识别辐射事件或缺乏分辨率,以及 (v) 进行基于进化的筛选,以促进基因功能预测。还讨论了 PhyKIT 的一些功能,这些功能简化了多序列比对和系统发育处理,例如重命名 FASTA 条目或树提示。这些方案展示了 PhyKIT 统一框架中的简单命令行操作如何促进各种基因组数据分析和处理,从超级矩阵构建和诊断到获得有关基因功能的线索。© 2024 作者。Wiley Periodicals LLC 出版的《当代协议》。基本方案 1:安装 PhyKIT 和用法语法基本方案 2:构建基因组超级矩阵基本方案 3:检测同源关系中的异常基本方案 4:量化基因组数据矩阵中的偏差和相关度量基本方案 5:识别多叉树基本方案 6:评估基因-基因共进化作为遗传筛选。

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