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本文引用的文献

1
Accuracy and power of statistical methods for detecting adaptive evolution in protein coding sequences and for identifying positively selected sites.用于检测蛋白质编码序列中适应性进化以及识别正选择位点的统计方法的准确性和功效。
Genetics. 2004 Oct;168(2):1041-51. doi: 10.1534/genetics.104.031153.
2
Bayesian estimation of positively selected sites.正向选择位点的贝叶斯估计。
J Mol Evol. 2004 Jun;58(6):661-72. doi: 10.1007/s00239-004-2588-9.
3
New methods for detecting positive selection at single amino acid sites.检测单个氨基酸位点正选择的新方法。
J Mol Evol. 2004 Jul;59(1):11-9. doi: 10.1007/s00239-004-2599-6.
4
Pandit: a database of protein and associated nucleotide domains with inferred trees.潘迪特:一个带有推断树的蛋白质及相关核苷酸结构域数据库。
Bioinformatics. 2003 Aug 12;19(12):1556-63. doi: 10.1093/bioinformatics/btg188.
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Pervasive adaptive evolution in mammalian fertilization proteins.哺乳动物受精蛋白中的普遍适应性进化。
Mol Biol Evol. 2003 Jan;20(1):18-20. doi: 10.1093/oxfordjournals.molbev.a004233.
6
Simulation study of the reliability and robustness of the statistical methods for detecting positive selection at single amino acid sites.检测单个氨基酸位点正选择的统计方法的可靠性和稳健性的模拟研究
Mol Biol Evol. 2002 Nov;19(11):1865-9. doi: 10.1093/oxfordjournals.molbev.a004010.
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Accuracy and power of bayes prediction of amino acid sites under positive selection.正选择下氨基酸位点的贝叶斯预测的准确性和功效。
Mol Biol Evol. 2002 Jun;19(6):950-8. doi: 10.1093/oxfordjournals.molbev.a004152.
8
A likelihood ratio test for evolutionary rate shifts and functional divergence among proteins.蛋白质间进化速率变化和功能分化的似然比检验。
Proc Natl Acad Sci U S A. 2001 Dec 4;98(25):14512-7. doi: 10.1073/pnas.251526398.
9
Accuracy and power of the likelihood ratio test in detecting adaptive molecular evolution.似然比检验在检测适应性分子进化中的准确性和功效。
Mol Biol Evol. 2001 Aug;18(8):1585-92. doi: 10.1093/oxfordjournals.molbev.a003945.
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Statistical methods for detecting molecular adaptation.检测分子适应性的统计方法。
Trends Ecol Evol. 2000 Dec 1;15(12):496-503. doi: 10.1016/s0169-5347(00)01994-7.

检测处于正选择和纯化选择下的氨基酸位点。

Detecting amino acid sites under positive selection and purifying selection.

作者信息

Massingham Tim, Goldman Nick

机构信息

European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK.

出版信息

Genetics. 2005 Mar;169(3):1753-62. doi: 10.1534/genetics.104.032144. Epub 2005 Jan 16.

DOI:10.1534/genetics.104.032144
PMID:15654091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1449526/
Abstract

An excess of nonsynonymous over synonymous substitution at individual amino acid sites is an important indicator that positive selection has affected the evolution of a protein between the extant sequences under study and their most recent common ancestor. Several methods exist to detect the presence, and sometimes location, of positively selected sites in alignments of protein-coding sequences. This article describes the "sitewise likelihood-ratio" (SLR) method for detecting nonneutral evolution, a statistical test that can identify sites that are unusually conserved as well as those that are unusually variable. We show that the SLR method can be more powerful than currently published methods for detecting the location of positive selection, especially in difficult cases where the strength of selection is low. The increase in power is achieved while relaxing assumptions about how the strength of selection varies over sites and without elevated rates of false-positive results that have been reported with some other methods. We also show that the SLR method performs well even under circumstances where the results from some previous methods can be misleading.

摘要

在单个氨基酸位点上,非同义替换超过同义替换是一个重要指标,表明正选择影响了所研究的现存序列与其最近共同祖先之间蛋白质的进化。有几种方法可用于检测蛋白质编码序列比对中正向选择位点的存在情况,有时还能确定其位置。本文介绍了用于检测非中性进化的“位点似然比”(SLR)方法,这是一种统计检验,可识别异常保守以及异常可变的位点。我们表明,SLR方法在检测正向选择位置方面可能比目前已发表的方法更有效,尤其是在选择强度较低的困难情况下。在放宽关于选择强度如何在不同位点变化的假设且不会像其他一些方法那样出现较高假阳性结果率的情况下,实现了检测能力的提升。我们还表明,即使在一些先前方法的结果可能产生误导的情况下,SLR方法也表现良好。