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通过CODEML推断作用于蛋白质编码序列的自然选择的 episodic 变化。 (注:“episodic”直译为“插曲式的”,这里可能结合具体语境有更准确含义,比如阶段性的等,可根据具体领域知识进一步优化表述)

Inference of Episodic Changes in Natural Selection Acting on Protein Coding Sequences via CODEML.

作者信息

Bielawski Joseph P, Baker Jennifer L, Mingrone Joseph

机构信息

Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.

Department of Mathematics & Statistics, Dalhousie University, Halifax, Nova Scotia, Canada.

出版信息

Curr Protoc Bioinformatics. 2016 Jun 20;54:6.15.1-6.15.32. doi: 10.1002/cpbi.2.


DOI:10.1002/cpbi.2
PMID:27322407
Abstract

This unit provides protocols for using the CODEML program from the PAML package to make inferences about episodic natural selection in protein-coding sequences. The protocols cover inference tasks such as maximum likelihood estimation of selection intensity, testing the hypothesis of episodic positive selection, and identifying sites with a history of episodic evolution. We provide protocols for using the rich set of models implemented in CODEML to assess robustness, and for using bootstrapping to assess if the requirements for reliable statistical inference have been met. An example dataset is used to illustrate how the protocols are used with real protein-coding sequences. The workflow of this design, through automation, is readily extendable to a larger-scale evolutionary survey. © 2016 by John Wiley & Sons, Inc.

摘要

本单元提供了使用PAML软件包中的CODEML程序推断蛋白质编码序列中 episodic 自然选择的协议。这些协议涵盖了诸如选择强度的最大似然估计、检验 episodic 正选择假设以及识别具有 episodic 进化历史的位点等推断任务。我们提供了使用CODEML中实现的丰富模型集来评估稳健性的协议,以及使用自举法来评估是否满足可靠统计推断要求的协议。使用一个示例数据集来说明如何将这些协议应用于实际的蛋白质编码序列。通过自动化,这种设计的工作流程很容易扩展到更大规模的进化调查。© 2016 约翰威立父子公司。

相似文献

[1]
Inference of Episodic Changes in Natural Selection Acting on Protein Coding Sequences via CODEML.

Curr Protoc Bioinformatics. 2016-6-20

[2]
LMAP: Lightweight Multigene Analyses in PAML.

BMC Bioinformatics. 2016-9-6

[3]
Measuring Natural Selection.

Methods Mol Biol. 2017

[4]
Optimization strategies for fast detection of positive selection on phylogenetic trees.

Bioinformatics. 2014-4-15

[5]
A beginners guide to estimating the non-synonymous to synonymous rate ratio of all protein-coding genes in a genome.

Methods Mol Biol. 2015

[6]
Beginner's Guide on the Use of PAML to Detect Positive Selection.

Mol Biol Evol. 2023-4-4

[7]
paPAML: An Improved Computational Tool to Explore Selection Pressure on Protein-Coding Sequences.

Genes (Basel). 2022-6-18

[8]
JCoDA: a tool for detecting evolutionary selection.

BMC Bioinformatics. 2010-5-27

[9]
Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship Between Model and Data.

Methods Mol Biol. 2019

[10]
Detecting the signatures of adaptive evolution in protein-coding genes.

Curr Protoc Mol Biol. 2013-1

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