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利用休哈特控制图识别结核分枝杆菌基因组中的热点和冷点。

Identification of hot and cold spots in genome of Mycobacterium tuberculosis using Shewhart Control Charts.

机构信息

School of Computational and Integrative Sciences, JawaharlalNehru University, New Delhi, India.

出版信息

Sci Rep. 2012;2:297. doi: 10.1038/srep00297. Epub 2012 Mar 2.

Abstract

The organization of genomic sequences is dynamic and undergoes change during the process of evolution. Many of the variations arise spontaneously and the observed genomic changes can either be distributed uniformly throughout the genome or be preferentially localized to some regions (hot spots) compared to others. Conversely cold spots may tend to accumulate very few variations or none at all. In order to identify such regions statistically, we have developed a method based on Shewhart Control Chart. The method was used for identification of hot and cold spots of single-nucleotide variations (SNVs) in Mycobacterium tuberculosis genomes. The predictions have been validated by sequencing some of these regions derived from clinical isolates. This method can be used for analysis of other genome sequences particularly infectious microbes.

摘要

基因组序列的组织是动态的,并在进化过程中发生变化。许多变异是自发产生的,观察到的基因组变化要么均匀分布在整个基因组中,要么与其他区域相比优先定位于某些区域(热点)。相反,冷点可能倾向于积累很少的变异或根本没有。为了从统计学上识别这些区域,我们开发了一种基于休哈特控制图的方法。该方法用于鉴定结核分枝杆菌基因组中单核苷酸变异(SNVs)的热点和冷点。通过对一些来自临床分离株的这些区域进行测序,验证了这些预测。该方法可用于分析其他基因组序列,特别是传染性微生物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6504/3291883/7188750d5ba4/srep00297-f1.jpg

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