SYSTEM AND METHOD FOR GENOTYPE ANALYSIS AND ENHANCED MONTE CARLO SIMULATION METHOD TO ESTIMATE MISCLASSIFICATION RATE IN AUTOMATED GENOTYPING

摘要

The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids. The present invention includes methods and systems for analyzing dynamic profiles of genotypes of nucleic acids, including the steps of using a computer, including a processor and a memory, to convert dynamic profiles of known genotypes of a nucleic acid to multi-dimensional data points, wherein the dynamic profiles each comprise measurements of a signal representing a physical change of a nucleic acid containing the known genotype relative to an independent variable; using the computer to reduce the multi-dimensional data points into reduced-dimensional data points; and generating a plot of the reduced-dimensional data points for each genotype. The present invention also relates to methods and systems for calculating error statistics for an assay for identifying a genotype in a biological sample using an enhanced Monte Carlo simulation method to generate a set of N random data points for each known genotype within a class of known genotypes, where each set of N random data points has the same mean data point and covariance matrix as a data set for each of the known genotypes.