Abstract: Methods and systems for quantification of a target nucleic acid in a sample are provided. The method includes forming a plurality of discrete sample portions. Each of the plurality of discrete sample portions comprising a portion of the sample, and a reaction mixture. The method further includes amplifying the plurality of discrete sample portions to form a plurality of discrete processed sample portions. At least one discrete processed sample portion containing nucleic acid amplification reaction products. Fluorescence signals are detected from the at least one of the plurality of discrete processed sample portions to determine a presence of the at least one target nucleic acid. The method also includes determining the respective volumes of the plurality of the plurality of discrete processed sample portions, and estimating the number of copies-per-unit-volume of the at least one target nucleic acid in the sample.

Abstract: Methods and systems for quantification of a target nucleic acid in a sample are provided. The method includes forming a plurality of discrete sample portions. Each of the plurality of discrete sample portions comprising a portion of the sample, and a reaction mixture. The method further includes amplifying the plurality of discrete sample portions to form a plurality of discrete processed sample portions. At least one discrete processed sample portion containing nucleic acid amplification reaction products. Fluorescence signals are detected from the at least one of the plurality of discrete processed sample portions to determine a presence of the at least one target nucleic acid. The method also includes determining the respective volumes of the plurality of the plurality of discrete processed sample portions, and estimating the number of copies-per-unit-volume of the at least one target nucleic acid in the sample.

Abstract: Methods and systems for quantification of a target nucleic acid in a sample are provided. The method includes forming a plurality of discrete sample portions. Each of the plurality of discrete sample portions comprising a portion of the sample, and a reaction mixture. The method further includes amplifying the plurality of discrete sample portions to form a plurality of discrete processed sample portions. At least one discrete processed sample portion containing nucleic acid amplification reaction products. Fluorescence signals are detected from the at least one of the plurality of discrete processed sample portions to determine a presence of the at least one target nucleic acid. The method also includes determining the respective volumes of the plurality of the plurality of discrete processed sample portions, and estimating the number of copies-per-unit-volume of the at least one target nucleic acid in the sample.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Abstract: Methods and systems for quantification of a target nucleic acid in a sample are provided. The method includes forming a plurality of discrete sample portions. Each of the plurality of discrete sample portions comprising a portion of the sample, and a reaction mixture. The method further includes amplifying the plurality of discrete sample portions to form a plurality of discrete processed sample portions. At least one discrete processed sample portion containing nucleic acid amplification reaction products. Fluorescence signals are detected from the at least one of the plurality of discrete processed sample portions to determine a presence of the at least one target nucleic acid. The method also includes determining the respective volumes of the plurality of the plurality of discrete processed sample portions, and estimating the number of copies-per-unit-volume of the at least one target nucleic acid in the sample.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Abstract: The present application provides for various embodiments of methods for the analysis of high resolution melt (HRM) curve data; where statistical assay variations in melt curve data may result from system noise in an analysis system. Such system noise may arise from various sources, such as the thermal non-uniformity of a thermocycler block in a thermal cycler apparatus, a detection system, etc. Additionally, various methods for the analysis of HRM curve data may provide an identification of a sample without the need for a user inputted information.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.