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1. 发明申请

WO2010132813A2 SYSTEMS AND METHODS FOR AUTOMATED MELTING CURVE ANALYSIS 审中-公开
标题翻译：自动熔融曲线分析的系统与方法
公开(公告)号：WO2010132813A2
公开(公告)日：2010-11-18
申请号：PCT/US2010034969
申请日：2010-05-14
申请人： IDAHO TECHNOLOGY INC , UNIV UTAH RES FOUND , ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
IPC分类号： G06F17/00 , G06F9/00
CPC分类号： G06F19/24 , C12Q1/6816 , G06F19/18 , G06F19/20 , C12Q2527/107 , C12Q2537/165 , C12Q2539/101
摘要： An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.
摘要翻译：实验熔解曲线被建模为真正的熔解曲线和背景荧光的总和。可以基于实验熔解曲线数据和背景信号的模型来生成偏差函数。可以通过将实验曲线的范围分割成多个窗口来产生偏差函数。在每个窗口内，可以计算背景信号的模型与实验解链曲线数据之间的拟合。偏差函数可以由所得的拟合参数形成。偏差函数可以包括背景信号补偿，并且因此可用于各种熔解曲线分析操作，例如数据可视化，聚类，基因分型，扫描，负样本去除等。偏差函数可用于种子自动背景校正过程。可以进一步处理背景校正的熔解曲线以除去聚集信号。

2. 发明专利

SG172863A1 SYSTEMS AND METHODS FOR AUTOMATED MELTING CURVE ANALYSIS 未知
公开(公告)号：SG172863A1
公开(公告)日：2011-08-29
申请号：SG2011049103
申请日：2010-05-14
申请人： IDAHO TECHNOLOGY INC , UNIV UTAH RES FOUND
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
摘要： An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.

3. 发明专利

CA2756300A1 SYSTEMS AND METHODS FOR AUTOMATED MELTING CURVE ANALYSIS 未知
公开(公告)号：CA2756300A1
公开(公告)日：2010-11-18
申请号：CA2756300
申请日：2010-05-14
申请人： IDAHO TECHNOLOGY INC , UNIV UTAH RES FOUND
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
IPC分类号： G06F17/00 , G06F9/00
摘要： An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.

4. 发明公开

EP2430569A4 SYSTEMS AND METHODS FOR AUTOMATED MELTING CURVE ANALYSIS 有权转让
标题翻译：系统和方法用于自动熔解曲线分析
公开(公告)号：EP2430569A4
公开(公告)日：2015-05-06
申请号：EP10775622
申请日：2010-05-14
申请人： BIOFIRE DEFENSE LLC , UNIV UTAH RES FOUND
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
IPC分类号： G06F19/24 , G06F9/00 , G06F17/00 , G06F19/20
CPC分类号： G06F19/24 , C12Q1/6816 , G06F19/18 , G06F19/20 , C12Q2527/107 , C12Q2537/165 , C12Q2539/101
摘要： An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.

5. 发明专利

ES2757813T3 Sistemas y procedimientos para el análisis automatizado de curva de fusión 未知
公开(公告)号：ES2757813T3
公开(公告)日：2020-04-30
申请号：ES10775622
申请日：2010-05-14
申请人： BIOFIRE DEFENSE LLC , UNIV UTAH RES FOUND
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
IPC分类号： G16B40/10 , C12Q1/6816 , G16B25/20
摘要： Procedimiento implementado por ordenador para calcular una desviación entre los datos de curva de fusión experimental y la señal de radiación electroóptica, EO, de fondo, para proporcionar un análisis de curva de fusión de un compuesto, comprendiendo el procedimiento las etapas de: acceder a los datos de la curva experimental de una memoria, comprendiendo los datos de la curva de fusión experimental una pluralidad de mediciones de radiación electroóptica, EO, que corresponden a temperaturas respectivas que se extienden en un intervalo de temperaturas, comprendiendo las mediciones obtenidas mediante la fusión de un compuesto un colorante de fluorescencia, en el que los datos de la curva de fusión experimental comprenden una señal de radiación EO de fondo; acceder a un modelo matemático de la señal de radiación EO de fondo de una memoria; calcular una función de desviación para los datos de curva de fusión experimental utilizando un dispositivo informático, en el que el cálculo de la función de desviación comprende el cálculo de parámetros de ajuste de función que ajustan el modelo matemático de la señal de radiación EO de fondo a los datos de curva de fusión experimental a temperaturas respectivas que se extienden en un intervalo de temperaturas, de tal modo que la función de desviación cuantifica una desviación entre los datos de la curva de fusión experimental y el modelo matemático de la señal de radiación EO de fondo como una función de la temperatura; y determinar una temperatura correspondiente a una transición dentro de los datos de curva de fusión experimental utilizando un dispositivo informático, comprendiendo la determinación la identificación de una o más de una transición de fundido y una transición de desplegamiento dentro de la función de desviación.

6. 发明专利

CA2756300C SYSTEMS AND METHODS FOR AUTOMATED MELTING CURVE ANALYSIS 未知
公开(公告)号：CA2756300C
公开(公告)日：2017-11-14
申请号：CA2756300
申请日：2010-05-14
申请人： IDAHO TECH INC , UNIV UTAH RES FOUND
发明人： ROBBINS THOMAS CHARLES , PALAIS ROBERT ANDREW , WITTWER CARL THOMAS
IPC分类号： G01N21/64 , G01N25/04 , G01N33/48 , G06F19/20
摘要： An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.

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