METHODS AND SYSTEMS FOR VISUALIZING DATA QUALITY
    2.
    发明申请
    METHODS AND SYSTEMS FOR VISUALIZING DATA QUALITY 审中-公开
    可视化数据质量的方法和系统

    公开(公告)号:WO2014210559A1

    公开(公告)日:2014-12-31

    申请号:PCT/US2014/044732

    申请日:2014-06-27

    CPC classification number: G06F17/30528 G06F17/30554 G06F19/26

    Abstract: A method for generating a data visualization is provided. The method includes receiving a plurality of data points related to fluorescent emissions values from a plurality of reaction sites. The fluorescent emission values include information for a first type of dye and a second type of dye. The method further includes displaying a first portion of the plurality of data points related to the first type of dye in a representation of location of the plurality of reaction sites, and displaying a second portion of the plurality of data points related to the second type of dye in the representation. The method further includes displaying the first portion of the plurality of data points in a scatter plot display. The scatter plot shows fluorescent values related to the first dye on the y-axis and fluorescent values related to the second dye on the x-axis. The method includes displaying the second portion of the plurality of data points in the scatter plot display.

    Abstract translation: 提供了一种用于生成数据可视化的方法。 该方法包括从多个反应位点接收与荧光发射值有关的多个数据点。 荧光发射值包括第一类染料和第二类染料的信息。 该方法还包括在多个反应位置的位置的表示中显示与第一类型的染料相关的多个数据点的第一部分,以及显示与第二类型的染色体相关的多个数据点的第二部分 染料代表。 该方法还包括在散点图显示中显示多个数据点的第一部分。 散点图显示与y轴上的第一染料相关的荧光值和与x轴上的第二染料相关的荧光值。 该方法包括在散点图显示中显示多个数据点的第二部分。

    VISUALIZATION TOOLS FOR DIGITAL PCR DATA
    3.
    发明申请
    VISUALIZATION TOOLS FOR DIGITAL PCR DATA 审中-公开
    数字PCR数据可视化工具

    公开(公告)号:WO2014074735A2

    公开(公告)日:2014-05-15

    申请号:PCT/US2013/068984

    申请日:2013-11-07

    CPC classification number: G06T11/206 G06F19/26 G06T11/203

    Abstract: A method for generating a data visualization is provided. The method includes displaying a representation of a portion of detected data from a substrate to a user. The method further includes generating a data quality value for the portion of detected data and displaying, along with the representation of the portion of detected data, an indication of data quality value for the portion of detected data. The method further includes selecting, by the user, a quality value threshold, and displaying an adjusted indication of data quality value for the portion of detected data meeting the quality value threshold.

    Abstract translation: 提供了一种用于生成数据可视化的方法。 该方法包括将检测到的数据的一部分从衬底显示给用户。 该方法还包括为检测到的数据的部分生成数据质量值,以及与检测到的数据的部分的表示一起显示检测到的数据的部分的数据质量值的指示。 该方法还包括由用户选择质量值阈值,并且显示对于满足质量值阈值的检测数据的部分的数据质量值的调整指示。

    SYSTEMS AND METHODS FOR ASSIGNING ATTRIBUTES TO A PLURALITY OF SAMPLES
    4.
    发明申请
    SYSTEMS AND METHODS FOR ASSIGNING ATTRIBUTES TO A PLURALITY OF SAMPLES 审中-公开
    用于将属性分配给多个样本的系统和方法

    公开(公告)号:WO2012006565A2

    公开(公告)日:2012-01-12

    申请号:PCT/US2011/043419

    申请日:2011-07-08

    Abstract: Systems and methods for assigning attributes to a plurality of samples are provided. An exemplary system includes an instrument configured to perform an experiment on a plurality of samples in a multi- sample support device and to produce a plurality of measured values. The system further includes a computer system in communication with the instrument. The computer system is configured to receive the plurality of measured values from the instrument, store the plurality of measured values in a memory configured as a grid of cells representing the grid of the multi- sample support device, display the grid of cells in a graphical user interface, receive a selected cell from the graphical user interface, receive two or more attribute values for the selected cell from the graphical user interface, and store the two or more assigned attribute values along with a measured value of the selected cell in the memory configured as a grid of cells.

    Abstract translation: 提供了用于将属性分配给多个样本的系统和方法。 示例性系统包括被配置为对多样本支持装置中的多个样本执行实验并产生多个测量值的仪器。 该系统还包括与仪器通信的计算机系统。 计算机系统被配置为从仪器接收多个测量值,将多个测量值存储在配置为表示多样本支持设备的网格的网格单元的存储器中,将网格单元显示在图形中 用户界面,从图形用户界面接收选定单元格,从图形用户界面接收用于所选单元格的两个或更多个属性值,并将所选择的两个或更多个属性值连同所选单元格的测量值一起存储在存储器中 配置为单元格网格。

    METHODS AND SYSTEMS FOR DETECTING MINOR VARIANTS IN A SAMPLE OF GENETIC MATERIAL
    5.
    发明申请
    METHODS AND SYSTEMS FOR DETECTING MINOR VARIANTS IN A SAMPLE OF GENETIC MATERIAL 审中-公开
    用于在遗传材料样本中检测微量变异体的方法和系统

    公开(公告)号:WO2016025892A1

    公开(公告)日:2016-02-18

    申请号:PCT/US2015/045371

    申请日:2015-08-14

    CPC classification number: G01N27/44726 G06F19/18 G06F19/24

    Abstract: A computer-implemented method for determining minor variants. The method includes receiving electropherogram sequence data from a test sample, identifying any non-primary peaks in the electropherogram, and characterizing identified non-primary peaks using at least one signal feature. The method may further include analyzing the at least one signal feature across identified non-primary peaks to identify variant candidates, evaluating at least one peak characteristic of each of the identified variant candidates, and classifying variant candidates as bona fide variants based on the evaluation of peak characteristics.

    Abstract translation: 用于确定次要变体的计算机实现的方法。 该方法包括从测试样品接收电泳图序列数据,识别电泳图中的任何非主峰,以及使用至少一个信号特征表征鉴定的非主峰。 该方法还可以包括分析所识别的非主要峰值中的至少一个信号特征以识别变异候选物,评估每个识别的变异候选物的至少一个峰特征,并且基于评估的方法将变体候选物分类为真正的变体 峰值特征。

    MICROSATELLITE INSTABILITY MEASUREMENT
    6.
    发明申请

    公开(公告)号:WO2021092523A1

    公开(公告)日:2021-05-14

    申请号:PCT/US2020/059581

    申请日:2020-11-07

    Abstract: Systems and methods for detecting microsatellite instability in a biological sample are described. Signal data is received from a capillary electrophoresis genetic analysis instrument, wherein the signal data is measured from fluorescence of fragments comprising nucleic acid sequences amplified from the biological sample via polymerase chain reaction (PCR). The nucleic acid sequences correspond to a plurality of different microsatellite loci and are obtained using a plurality of PCR primers configured to flank a plurality of microsatellite loci of a biological sample. When the PCR primers and the biological sample are combined and subjected to PCR amplification, fluorescently labeled DNA fragments are generated comprising the plurality of microsatellite loci. Fluorescent data obtained from the plurality of fluorescently labelled microsatellite loci are used to classify microsatellite instability of the biological sample.

    SYSTEMS AND ASSAYS FOR ASSESSING MICROSATELLITE INSTABILITY

    公开(公告)号:WO2021092299A1

    公开(公告)日:2021-05-14

    申请号:PCT/US2020/059295

    申请日:2020-11-06

    Abstract: Systems, primers, kits, and methods for detecting microsatellite instability in a biological sample are described. Signal data is received from a capillary electrophoresis genetic analysis instrument, wherein the signal data is measured from fluorescence of fragments comprising nucleic acid sequences amplified from the biological sample via polymerase chain reaction (PCR). The nucleic acid sequences correspond to a plurality of different microsatellite loci and are obtained using a plurality of PCR primers configured to flank a plurality of microsatellite loci of a biological sample. When the PCR primers and the biological sample are combined and subjected to PCR amplification, fluorescently labeled DNA fragments are generated comprising the plurality of microsatellite loci. Fluorescent data obtained from the plurality of fluorescently labelled microsatellite loci are used to classify microsatellite instability of the biological sample.

    METHODS AND SYSTEMS FOR DETERMINING META-GENOTYPES
    9.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING META-GENOTYPES 审中-公开
    用于确定META基因的方法和系统

    公开(公告)号:WO2014110172A1

    公开(公告)日:2014-07-17

    申请号:PCT/US2014/010735

    申请日:2014-01-08

    Inventor: LEONG, Harrison

    CPC classification number: G06F19/18 G01N33/49 G06F19/28

    Abstract: In one exemplary embodiment, a computer-implemented method for determining a genetic result from a biological sample is provided. The method includes receiving nucleic acid amplification data of a biological sample, by a processor, from a biological instrument. The method further includes storing translation data, in a memory. The translation data includes a pattern of assay values associated with possible genetic results. The method further includes comparing the translation data with the nucleic acid amplification data, by the processor, to generate the genetic result of the biological sample. Moreover, the method includes displaying the genetic result, on a display, to a user.

    Abstract translation: 在一个示例性实施例中,提供了用于确定生物样品的遗传结果的计算机实现的方法。 该方法包括通过处理器从生物仪器接收生物样品的核酸扩增数据。 该方法还包括将翻译数据存储在存储器中。 翻译数据包括与可能的遗传结果相关联的测定值的模式。 该方法还包括通过处理器比较翻译数据与核酸扩增数据,以产生生物样品的遗传结果。 此外,该方法包括将显示器上的遗传结果显示给用户。

    SYSTEMS AND METHODS FOR THE ANALYSIS OF PROXIMITY BINDING ASSAY DATA
    10.
    发明申请
    SYSTEMS AND METHODS FOR THE ANALYSIS OF PROXIMITY BINDING ASSAY DATA 审中-公开
    用于分析临时性分析数据的系统和方法

    公开(公告)号:WO2012068276A2

    公开(公告)日:2012-05-24

    申请号:PCT/US2011/061034

    申请日:2011-11-16

    CPC classification number: G06F19/18 G06F19/24

    Abstract: A proximity binding assay (PBA) is performed on at least one test sample, at least one reference sample, a background sample, and one or more calibration samples using a thermal cycler instrument. Ct values are determined for at least one set of test sample data and at least one set of reference sample data. Background corrected Ct values are calculated using a corresponding value in a background sample data set. A linear range is determined for the background corrected Ct values as a function of sample quantity. A linear regression line is calculated for each linear range. One or more parameter values of an exponential model (EM) fold change formula are estimated from the one or more sets of calibration sample data. A target protein quantity and associated confidence interval are calculated using the linear regression lines and the EM fold change formula.

    Abstract translation: 使用热循环仪在至少一个测试样品,至少一个参考样品,背景样品和一个或多个校准样品上进行接近结合测定(PBA)。 对于至少一组测试样本数据和至少一组参考样本数据确定Ct值。 使用背景样本数据集中的对应值计算背景校正的Ct值。 确定背景校正的Ct值作为样品量的函数的线性范围。 对于每个线性范围计算线性回归线。 从一组或多组校准样本数据估计指数模型(EM)倍数变化公式的一个或多个参数值。 使用线性回归线和EM倍数变化公式计算靶蛋白质量和相关置信区间。

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