[1]王霏,倪中华,陈云飞,等.纳通道内λ-DNA过孔信号的小波去噪及统计分析[J].东南大学学报(自然科学版),2013,43(1):50-54.[doi:10.3969/j.issn.1001-0505.2013.01.010]
 Wang Fei,Ni Zhonghua,Chen Yunfei,et al.Wavelet denoising and statistical analysis of signal of λ-DNA translocation through nanopores[J].Journal of Southeast University (Natural Science Edition),2013,43(1):50-54.[doi:10.3969/j.issn.1001-0505.2013.01.010]
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纳通道内λ-DNA过孔信号的小波去噪及统计分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
43
期数:
2013年第1期
页码:
50-54
栏目:
机械工程
出版日期:
2013-01-20

文章信息/Info

Title:
Wavelet denoising and statistical analysis of signal of λ-DNA translocation through nanopores
作者:
王霏倪中华陈云飞刘磊马建毕晨
东南大学江苏省微纳生物医疗器械设计与制造重点实验室, 南京 211189
Author(s):
Wang Fei Ni Zhonghua Chen Yunfei Liu Lei Ma Jian Bi Chen
Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
关键词:
纳米通道 λ-DNA过孔信号 小波去噪 信噪比 统计分析
Keywords:
nanopores signal of λ-DNA translocation wavelet denoising signal to noise ratio statistical analysis
分类号:
TH776
DOI:
10.3969/j.issn.1001-0505.2013.01.010
摘要:
针对λ噬菌体中的脱氧核糖核酸(λ-DNA)通过纳米通道时的过孔信号噪音大,强度弱且非平稳的缺点,提出了使用具有良好时频域分辨能力的小波分析方法对其进行去噪处理,并对有效去噪后的λ-DNA过孔信号进行了统计分析.首先根据小波去噪原理,选择合适的小波函数,确定最佳的分解层数并选取合适的阈值,对实验采集到的含噪声信号进行去噪处理.根据最终去噪效果可得,以sym7为小波基函数、分解层数5层、使用默认软阈值可以有效降低信号中的噪声,提高信噪比.然后,对具有48000个碱基对(48kbp)的λ-DNA通过60nm氮化硅(SiN)纳米孔的特征信号进行了统计分析,分析结果表明,阻塞电流和过孔时间分别符合双峰高斯分布和偏正态分布,这为后续DNA分子的辨识工作提供了依据.
Abstract:
To overcome the shortcomings that the signal of λ-DNA translocation through nanopores has high-noise, weak-strength and non-stationary, a wavelet analysis method with excellent resolution capabilities in time and frequency domain is proposed to analyze the signal of λ-DNA translocation. A statistical analysis is applied to the λ-DNA signal after effective denoising. First, according to the principle, suitable wavelet base function and the best decomposition level are chosen, and the denoising threshold is determined. The results indicate that by using sym7 wavelet base function, decomposition level at 5 and using default soft threshold the noise in the signal can be reduced effectively and the signal to noise ratio(SNR)can be improved. And then, the characteristic current signals, which arise from λ-DNA molecules of 48kbp translocating through silicon nitride nanopores of 60nm are statistically analyzed. The analysis results show that the current blockade and translocation time correspond to bimodal and skewed normal distribution respectively, which provides basis for subsequent DNA molecular identification.

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相似文献/References:

[1]顾兴中,刘磊,王霏,等.λ-DNA通过纳米通道产生电流信号的1/f噪声分析[J].东南大学学报(自然科学版),2013,43(4):724.[doi:10.3969/j.issn.1001-0505.2013.04.010]
 Gu Xingzhong,Liu Lei,Wang Fei,et al.1/f noise analysis of current signals generated by λ-DNA translocation through nanochannel[J].Journal of Southeast University (Natural Science Edition),2013,43(1):724.[doi:10.3969/j.issn.1001-0505.2013.04.010]

备注/Memo

备注/Memo:
作者简介: 王霏(1986—),女,硕士生;倪中华(联系人),男,博士,教授,博士生导师, nzh2003@seu.edu.cn.
基金项目: 国家重点基础研究发展计划(973计划)资助项目(2011CB707601,2011CB707605).
引文格式: 王霏,倪中华,陈云飞,等.纳通道内λ-DNA过孔信号的小波去噪及统计分析[J].东南大学学报:自然科学版,2013,43(1):50-54. [doi:10.3969/j.issn.1001-0505.2013.01.010]
更新日期/Last Update: 2013-01-20