Bioinformatics Electropherogram Resolution Using Peak-to-Valley Ratios
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Solution Overview
Problem
Existing analytical techniques lack a standardized method to determine the quality and resolution of assays, particularly in bioinformatics, which is crucial for accurately characterizing and quantifying biological molecules like proteins or nucleic acids.
Innovation Solution
A computer-implemented method and system that analyze electropherograms to calculate a peak-to-valley ratio based on local maximum and minimum RFU measurements, determining assay resolution by comparing this ratio to a threshold, and generating a certificate of analysis indicating the assay's acceptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gel electrophoresis or capillary electrophoresis is used to separate biological molecules, then separation and identification of molecules based on charge, size, and conformation is achieved, but standardized method to determine assay quality and resolution is lacking
Solution Approach 1:
The patent transforms the qualitative assessment of assay resolution into a quantitative measurement by introducing the peak-to-valley ratio parameter. This parameter is calculated from electropherogram data by identifying local maximum and minimum RFU values and computing their ratio, providing an objective numerical criterion for resolution assessment.
Solution Approach 2:
The patent replaces manual or subjective assessment of assay resolution with an automated computational method. The system automatically processes electropherogram data, identifies peaks and valleys, calculates the peak-to-valley ratio, and compares it against predetermined thresholds to determine resolution adequacy, eliminating the need for manual interpretation.
2Productivity
If manual assessment of electropherogram quality is performed, then expert judgment can be applied, but time-consuming and subjective results are obtained
Solution Approach 1:
The system performs self-assessment of assay resolution by automatically processing its own electropherogram data. The computational method independently identifies peaks, valleys, and calculates the peak-to-valley ratio without requiring external expert intervention, enabling rapid and consistent quality determination.
Solution Approach 2:
The system provides immediate feedback on assay resolution by comparing the calculated peak-to-valley ratio against predetermined thresholds. This automated feedback mechanism quickly determines whether resolution requirements are met, eliminating delays associated with manual assessment and providing consistent, objective results.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate assessment of assay resolution, ensuring adequate separation and identification of local extremum in electropherogram data, thereby providing reliable characterization and quantification of biological molecules.
Implementation Method 1
One such analytical technique is gel electrophoresis, which includes analyzing a sample disposed in a porous medium (e.g., agarose gel or polyacrylamide gel) by separating biological molecules (e.g., proteins) based on charge, size, and molecule conformation (i.e., electrophoretic mobility).
Implementation Method 2
One such analytical technique is gel electrophoresis, which includes analyzing a sample disposed in a porous medium (e.g., agarose gel or polyacrylamide gel) by separating biological molecules (e.g., proteins) based on charge, size, and molecule conformation (i.e., electrophoretic mobility). A system that conducts gel electrophoresis typically includes an assay configured to enable the characterization of specific proteins of interest in the sample. The gel electrophoresis technique may include, e.g., microchip electrophoresis coupled with laser-induced fluorescence (MCE-LIF)
Data Source
AI summary
The present disclosure provides bioprocess devices, systems, and methods configured to analyze a sample using an analytical technique, such as electrophoresis, to characterize and quantify analytes disposed within the sample, and to perform bioinformatics operations on measurement data output from the analytical technique. Measurement data, such as relative fluorescence units (RFU) measurements over time, may be processed to determine resolution of an assay used during an analytical technique.