Nanopore Polymer Analysis via Feature Vector Extraction
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Solution Overview
Problem
Current nanopore measurement systems face challenges in reliably determining the sequence of polymers due to overlapping signals from different k-mers, especially with high numbers of k-mers, leading to difficulties in resolving measurements and deriving accurate sequence information.
Innovation Solution
A method is developed to analyze time-ordered series of measurements by deriving a feature vector of time-ordered features representing characteristics of the measurements, determining similarity between this feature vector and others, which allows for polymer analysis without the need to resolve every single polymer unit sequence, thereby reducing system complexity and increasing measurement system flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are made to determine complete polymer sequence information, then measurement precision is improved, but device complexity increases due to the need to resolve overlapping signals from many k-mers
Solution Approach 1:
The patent extracts only the essential features needed for polymer analysis from the complete measurement signal. Instead of attempting to resolve all k-mer signals to determine complete sequence information, the system identifies and extracts key temporal features (such as translocation duration, current blockage characteristics, and signal patterns) that are sufficient for diagnostic and classification purposes. This extraction approach maintains measurement precision for the required applications while dramatically reducing device complexity by avoiding the need to resolve all overlapping k-mer signals.
Solution Approach 2:
The patent applies partial action by obtaining sufficient measurement information without achieving complete sequence determination. The system performs partial analysis of the polymer signal, focusing on extracting features that provide adequate information for the intended applications (diagnostic, classification, identification) rather than attempting the excessive task of fully resolving every k-mer contribution to the signal. This partial approach reduces complexity while maintaining sufficient precision for practical use.
2Measurement precision
If complete sequence information is obtained by resolving all polymer units, then measurement precision is improved, but loss of time increases due to the complexity of analyzing overlapping signals
Solution Approach 1:
The patent extracts key temporal and signal features from the nanopore measurement data without attempting to fully resolve all overlapping k-mer signals. By identifying and extracting essential features such as translocation duration, current blockage depth, and characteristic signal patterns, the system achieves sufficient measurement precision for polymer analysis while dramatically reducing the time required for data processing and analysis compared to complete sequence determination methods.
3Device complexity
If the measurement system is simplified to avoid resolving all k-mers, then device complexity is reduced, but measurement precision deteriorates due to overlapping signals
Solution Approach 1:
The patent implements partial action by obtaining sufficient measurement information without achieving complete sequence determination. The system performs partial analysis focused on extracting features that provide adequate information for diagnostic and classification applications. This approach maintains measurement precision sufficient for practical use while avoiding the excessive complexity of fully resolving all k-mer signals, effectively finding the optimal balance between precision and simplicity for the intended applications.
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
This approach enables effective analysis of polymers by converting raw signal measurements into feature vectors, providing useful information for diagnostic and scientific applications without requiring complete sequence information, thus simplifying the measurement system and enhancing its operational efficiency.
Implementation Method 1
An applied potential is used to drive the DNA molecule from one side of the membrane to the other
Implementation Method 2
The applied potential across the electrodes also drives the electrolyte through the pore and generates a current
Implementation Method 3
When material passes through the pore it modifies the flow of ions which is directly observed in the current measurement. The degree of current block and the duration the material spends in the nanopore are indicative of its identity
Data Source
AI summary
A time-ordered series of measurements of a polymer made during translocation of the polymer through a Nanopore are analysed. The measurements are dependent on the identity of k-mers in the Nanopore, a k-mer bring k polymer units of the polymer, where k is a positive integer. The method involves deriving, from the series of measurements, a feature vector of time-ordered features representing characteristics of the measurements; and determining similarity between the derived feature vector and at least one other feature vector.