Predictive Model for Use in Sequencing-by-Synthesis
    4.
    发明申请
    Predictive Model for Use in Sequencing-by-Synthesis 审中-公开
    用于按顺序排序的预测模型

    公开(公告)号:US20140222399A1

    公开(公告)日:2014-08-07

    申请号:US14150855

    申请日:2014-01-09

    CPC classification number: G16B5/00 C12Q1/6874 C12Q2537/165

    Abstract: A method of obtaining a more accurate estimate of a signal correction parameter(s) in sequencing-by-synthesis operations, such as incomplete extension rates, carry forward rates, and/or signal droop rates. The sequencing operation produces signal data. A model is constructed to simulate a population of template strands as it undergoes the sequencing process and becomes divided into different phase-states as the sequencing-by-synthesis progresses. For example, the model may be a phase-state model. The output from the model is used to adjust the signal correction parameter(s). For example, the model may be fitted to the signal data. This fitting results in a more accurate estimate of the signal correction parameter(s). In another embodiment, the signal droop rate is modeled as a decaying function and this decaying function is fitted to the signal data to obtain an improved estimate of the signal droop rate.

    Abstract translation: 一种在逐个合成操作中获得信号校正参数的更精确估计的方法,例如不完全扩展速率,结转率和/或信号下降率。 排序操作产生信号数据。 构建模型以模拟模板链的群体,因为其经历了测序过程,并且随着逐个序列合成的进行而分为不同的相态。 例如,模型可以是阶段状态模型。 模型的输出用于调整信号校正参数。 例如,该模型可以适合于信号数据。 该拟合导致信号校正参数的更精确的估计。 在另一个实施例中,信号下降率被建模为衰减函数,并且该衰减函数适合于信号数据以获得信号下降率的改进估计。

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