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使用刀切法评估基因顺序系统发生树的质量。

Using jackknife to assess the quality of gene order phylogenies.

机构信息

Department of Computer Science and Engineering, University of South Carolina Columbia, SC 29028, USA.

出版信息

BMC Bioinformatics. 2010 Apr 6;11:168. doi: 10.1186/1471-2105-11-168.

Abstract

BACKGROUND

In recent years, gene order data has attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis. If gene orders are viewed as one character with a large number of states, traditional bootstrap procedures cannot be applied. Researchers began to use a jackknife resampling method to assess the quality of gene order phylogenies.

RESULTS

In this paper, we design and conduct a set of experiments to validate the performance of this jackknife procedure and provide discussions on how to conduct it properly. Our results show that jackknife is very useful to determine the confidence level of a phylogeny obtained from gene orders and a jackknife rate of 40% should be used. However, although a branch with support value of 85% can be trusted, low support branches require careful investigation before being discarded.

CONCLUSIONS

Our experiments show that jackknife is indeed necessary and useful for gene order data, yet some caution should be taken when the results are interpreted.

摘要

背景

近年来,基因顺序数据作为一种新的系统发育分析数据类型,引起了生物学家和计算机科学家越来越多的关注。如果将基因顺序视为一个具有大量状态的字符,则无法应用传统的自举程序。研究人员开始使用一种刀切(resampling)重抽样方法来评估基因顺序系统发育的质量。

结果

在本文中,我们设计并进行了一组实验来验证这种刀切程序的性能,并讨论了如何正确进行该程序。我们的结果表明,刀切对于确定从基因顺序获得的系统发育的置信水平非常有用,应该使用 40%的刀切率。然而,虽然支持值为 85%的分支可以被信任,但在丢弃低支持分支之前,需要仔细调查。

结论

我们的实验表明,刀切对于基因顺序数据确实是必要且有用的,但在解释结果时应谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31e2/2858039/44450c9e90c8/1471-2105-11-168-1.jpg

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