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Exponentially modifi ed Gaussian relevance to the distributions of translocation events in nanopore-based single molecule detection

Zhen Gu ,  Yi-Lun Ying ,  Bing-Yong Yan ,  Hui-Feng Wang ,  Pin-Gang He ,  Yi-Tao Long

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Citation:  Zhen Gu, Yi-Lun Ying, Bing-Yong Yan, Hui-Feng Wang, Pin-Gang He, Yi-Tao Long. Exponentially modifi ed Gaussian relevance to the distributions of translocation events in nanopore-based single molecule detection[J]. Chinese Chemical Letters, 2014, 25(7): 1029-1032. doi: 10.1016/j.cclet.2014.05.009 shu

Exponentially modifi ed Gaussian relevance to the distributions of translocation events in nanopore-based single molecule detection

    • 通讯作者: Bing-Yong Yan,
    Hui-Feng Wang,
    Pin-Gang He,
  • 基金项目:

    The authors acknowledge funding of the National Natural Science Foundation of China (No. 21327807). Y.-T. Long is grateful for funds from the National Science Fund for Distinguished Young Scholars of China (No. 21125522). Y.-L. Ying thanks the Sino-UK Higher Education Research Partnership for PhD Studies. (No. 21327807)

摘要: Nanopore technique plays an important role in single molecule detection, which illuminates the properties of an individual molecule by analyzing the blockage durations and currents. However, the traditional exponential function is lack of efficiency to describe the distributions of blockage durations in nanopore experiments. Herein, we introduced an exponentially modified Gaussian (EMG) function to fit the duration histograms of both simulated events and experimental events. In comparison with the traditional exponential function, our results demonstrated that the EMG provides a better fit while covers the entire range of the distributions. In particular, the fitted parameters of EMG could be directly used to discriminate the sequence length of the oligonucleotides at single molecule level.

English

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  • 收稿日期:  2014-02-20
  • 网络出版日期:  2014-04-23
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