STATISTICAL METHODS IN PHYLOGENETIC AND EVOLUTIONARY INFERENCES

Luigi Bertolotti; Mario Giacobini

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STATISTICAL METHODS IN PHYLOGENETIC AND EVOLUTIONARY INFERENCES

机译：系统发育和进化推论中的统计方法

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Molecular instruments are the most accurate methods in organisms'identification and characterization. Biologists are often involved in studies where the main goal is to identify relationships among individuals. In this framework, it is very important to know and apply the most robust approaches to infer correctly these relationships, allowing the right conclusions about phylogeny. In this review, we will introduce the reader to the most used statistical methods in phylogenetic analyses, the Maximum Likelihood and the Bayesian approaches, considering for simplicity only analyses regarding DNA sequences. Several studies will be showed as examples in order to demonstrate how the correct phylogenetic inference can lead the scientists to highlight very peculiar features in pathogens biology and evolution.

机译：分子仪器是生物鉴定和表征中最准确的方法。生物学家经常参与主要目的是识别个体之间关系的研究。在此框架中，了解并应用最可靠的方法来正确推断这些关系非常重要，从而可以得出有关系统发育的正确结论。在这篇综述中，我们将向读者介绍系统发育分析中最常用的统计方法，最大似然法和贝叶斯方法，为简化起见，仅考虑有关DNA序列的分析。为了说明正确的系统发育推断如何使科学家强调病原体生物学和进化中非常独特的特征，将进行一些研究作为示例。

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《Statistica》 |2009年第3期|共10页
作者
Luigi Bertolotti; Mario Giacobini;
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正文语种 eng
中图分类经济统计学;
关键词
STATISTICAL METHODS; PHYLOGENETIC; EVOLUTIONARY INFERENCES;

机译：统计方法;系统发育;演化推论;

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1. STATISTICAL METHODS IN PHYLOGENETIC AND EVOLUTIONARY INFERENCES [J] . Luigi Bertolotti, Mario Giacobini Statistica . 2009,第2a3期

机译：系统发育和进化推论中的统计方法
2. Testing for Differentiation of Microbial Communities Using Phylogenetic Methods: Accounting for Uncertainty of Phylogenetic Inference and Character State Mapping [J] . Ryan T. Jones, Andrew P. Martin Microbial Ecology . 2006,第3期

机译：使用系统发生方法测试微生物群落的差异：系统发生推论的不确定性和字符状态映射的说明
3. Testing for Differentiation of Microbial Communities Using Phylogenetic Methods: Accounting for Uncertainty of Phylogenetic Inference and Character State Mapping [J] . Jones Ryan T, Martin Andrew P Jones Ryan T, Martin Andrew P Microbial Ecology: An International Journal . 2006,第3期

机译：使用系统发生方法测试微生物群落的差异：系统发生推论的不确定性和字符状态映射
4. A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference [C] . Waldo Cancino, Laetitia Jourdan, El-Ghazali Talbi, Learning and intelligent optimization . 2010

机译：系统发育推理的并行多目标进化算法
5. Reliable and Interpretable Inference of Evolutionary History Using Bayesian Phylogenetic Approaches [D] . Magee, Andrew F. 2021

机译：使用贝叶斯系统发育方法可靠和可解释的进化史推理
6. Statistical Methods without Estimating the Missingness Mechanism: A Discussion of Statistical Inference for Nonignorable Missing Data Problems: A Selective Review by Niansheng Tang and Yuanyuan Ju [O] . Jiwei Zhao -1

机译：不估计缺失机制的统计方法：唐念升和鞠媛媛对不可忽略的缺失数据问题的统计推断：选择性回顾的讨论
7. MO ‐Phylogenetics: a phylogenetic inference software tool with multi‐objective evolutionary metaheuristics [O] . Cristian Zambrano‐Vega, Antonio J. Nebro, José F. Aldana‐Montes 2016

机译：Mo -phyloonsetics：具有多目标进化型殖民地的系统发育推理软件工具
8. Statistical Inference Approach to Inferring Evolutionary Trees and What It Tells US About Parsimony and Compatibility [R] . Felsenstain, J. 1981

机译：推断进化树的统计推断方法及其告诉我们关于简约和兼容性的内容

STATISTICAL METHODS IN PHYLOGENETIC AND EVOLUTIONARY INFERENCES

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