PREDICTIVE MODEL FOR USE IN SEQUENCING-BY-SYNTHESIS
    2.
    发明申请
    PREDICTIVE MODEL FOR USE IN SEQUENCING-BY-SYNTHESIS 审中-公开
    用于顺序合成的预测模型

    公开(公告)号:WO2012058459A3

    公开(公告)日:2013-09-06

    申请号:PCT/US2011058134

    申请日:2011-10-27

    CPC classification number: G06F19/12 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。

    METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR MAKING BASE CALLS IN NUCLEIC ACID SEQUENCING
    3.
    发明公开
    METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR MAKING BASE CALLS IN NUCLEIC ACID SEQUENCING 有权
    方法,系统和计算机可读介质为基数分配在核酸测序生产

    公开(公告)号:EP2745108A4

    公开(公告)日:2015-10-28

    申请号:EP12823719

    申请日:2012-08-17

    CPC classification number: G06F19/22 C12Q1/6869 C12Q2535/122 C12Q2565/607

    Abstract: A method for nucleic acid sequencing includes receiving a plurality of observed or measured signals indicative of a parameter observed or measured for a plurality of defined spaces; determining, for at least some of the defined spaces, whether the defined space comprises one or more sample nucleic acids; processing, for at least some of the defined spaces, the observed or measured signal to improve a quality of the observed or measured signal; generating, for at least some of the defined spaces, a set of candidate sequences of bases for the defined space using one or more metrics adapted to associate a score or penalty to the candidate sequences of bases; and selecting the candidate sequence leading to a highest score or a lowest penalty as corresponding to the correct sequence for the one or more sample nucleic acids in the defined space.

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