Systems and Methods for the Analysis of Protein Melt Curve Data

Abstract

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 (T m ) 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.

1 . A system comprising:
 a processor; and   a memory in communication with the processor; the memory storing instructions for:
 receiving by the processor a set protein melt curve data; 
 generating and displaying a first data set of processed melt curve data from the initial melt curve data; and 
 presenting an end user with an interface for the interactive analysis of the first data set of processed protein melt curve data, wherein the interactive analysis comprises generating a display of a second data set of processed protein melt curve data, wherein the second set of processed protein melt curve data is generated in response to the user input. 
   
     
     
         2 . The system of  claim 1 , wherein the protein melt curve data comprises a detector response value as a function of temperature for an end-user selected analysis group. 
     
     
         3 . The system of  claim 1 , wherein the display of the first data set and second data set is a display of a Boltzmann fit of the data. 
     
     
         4 . The system of  claim 1 , wherein the display of the first data and second data set is a display of an nth derivative plot of the data. 
     
     
         5 . The system of  claim 1 , wherein the display of the first data and second data set is a diamond plot displaying replicate group central tendency and variance. 
     
     
         6 . A computer-readable medium encoded with instructions, executable by a processor, for analyzing protein melt curve data, the instructions comprising instructions for:
 receiving a set of protein melt curve data for a plurality of samples;   generating and displaying a first data set of processed melt curve data from the initial melt curve data; and   presenting an end user with an interface for the interactive analysis of the first data set of processed protein melt curve data, wherein the interactive analysis comprises generating a display of a second data set of processed protein melt curve data, wherein the second set of processed protein melt curve data is generated in response to the user input.   
     
     
         7 . The computer-readable medium of  claim 6 , wherein the protein melt curve data comprises a detector response value as a function of temperature for an end-user selected analysis group. 
     
     
         8 . The computer-readable medium of  claim 6 , wherein the display of the first data set and second data set is a display of a Boltzmann fit of the data. 
     
     
         9 . The computer-readable medium of  claim 6 , wherein the display of the first data and second data set is a display of an nth derivative plot of the data. 
     
     
         10 . The computer-readable medium of  claim 6 , wherein the display of the first data and second data set is a diamond plot displaying replicate group central tendency and variance. 
     
     
         11 . A computer implemented method for determining a genotype for a genomic locus in a biological sample, the method comprising:
 receiving by a processor a set of protein melt curve data;   processing the set of protein melt curve data on a computer, the processing comprising:
 generating and displaying a first data set of processed melt curve data from the initial melt curve data; and 
 presenting an end user with an interface for the interactive analysis of the first data set of processed protein melt curve data, wherein the interactive analysis comprises generating a display of a second data set of processed protein melt curve data, wherein the second set of processed protein melt curve data is generated in response to the user input. 
   
     
     
         12 . The computer implemented method of  claim 11 , wherein the protein melt curve data comprises a detector response value as a function of temperature for an end-user selected analysis group. 
     
     
         13 . The computer implemented method of  claim 11 , wherein the display of the first data set and second data set is a display of a Boltzmann fit of the data. 
     
     
         14 . The computer implemented method of  claim 11 , wherein the display of the first data and second data set is a display of an nth derivative plot of the data. 
     
     
         15 . The computer implemented method of  claim 11 , wherein the display of the first data and second data set is a diamond plot displaying replicate group central tendency and variance.