公开(公告)号：US20120194522A1

公开(公告)日：2012-08-02

申请号：US13364276

申请日：2012-02-01

申请人： Nivedita Sumi Majumdar ,  Harrison Leong ,  Ruoyun Wu

发明人： Nivedita Sumi Majumdar ,  Harrison Leong ,  Ruoyun Wu

IPC分类号： G06T11/20

CPC分类号： G06T11/206 ,  G16B45/00

摘要： The present teachings relate to embodiments of systems and methods for the analysis of melt curve data for a plurality of samples. According to various embodiments, a melting temperature (Tm) may be determined across a range of different types of protein melt curve data, having variability over a plurality of analytical attributes in order to accommodate the complexity of protein melt curve data. The combination of a plurality of samples, coupled with the complexity of the data gives rise for a need to process the data in a manner that readily facilitates end-user to analysis of the data. Various embodiments of an interactive graphical user interface (GUI) according to the present teachings provide for rapid and sequential changes that may be made by an end user to displayed protein melt curve data to allow such analysis.

摘要翻译： 本教导涉及用于分析多个样品的熔体曲线数据的系统和方法的实施例。 根据各种实施方案，可以在不同类型的蛋白质熔融曲线数据的范围内确定熔解温度（Tm），其具有多个分析属性的变异性，以适应蛋白质熔融曲线数据的复杂性。 多个样本的组合以及数据的复杂性导致需要以容易促进最终用户分析数据的方式处理数据。 根据本发明的交互式图形用户界面（GUI）的各种实施例提供了可以由终端用户进行快速和顺序改变以显示蛋白质熔解曲线数据以允许这种分析。

公开(公告)号：US20130304390A1

公开(公告)日：2013-11-14

申请号：US13885995

申请日：2011-11-16

申请人： Harrison Leong ,  Nivedita Sumi Majumdar ,  Elana E. Swartzman

发明人： Harrison Leong ,  Nivedita Sumi Majumdar ,  Elana E. Swartzman

IPC分类号： G06F19/18

CPC分类号： G16B20/00 ,  G16B40/00

摘要： 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.

摘要翻译： 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。 从一个或多个校准样本数据组估计指数模型（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。