Dual-Channel Base Calling for Unbalanced Gene Sequencing
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Solution Overview
Problem
Existing base calling methods fail to accurately identify base types in gene sequencing when the base composition is unbalanced, leading to sequencing failures.
Innovation Solution
A base calling method and system that utilizes dual-channel imaging (red and green light) with brightness adjustments and normalization processing to accurately identify base types, even in unbalanced compositions, by performing preliminary and secondary identifications based on brightness values and angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing base calling methods are used for unbalanced base composition data, then the method can process the data, but the base type identification accuracy deteriorates leading to sequencing failure
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the brightness thresholds for base type identification based on the actual base composition distribution in the sample. Instead of using fixed thresholds, the system calculates optimal thresholds according to the observed brightness value distributions of different bases, thereby adapting to unbalanced compositions and maintaining high identification accuracy
Solution Approach 2:
The patent implements dynamics by making the base calling process adaptive rather than static. The system continuously monitors the base composition and adjusts identification parameters in real-time based on the actual data distribution, allowing the method to dynamically adapt to various base composition scenarios including unbalanced cases
2Measurement precision
If brightness adjustment and normalization processing are performed to improve base type identification in unbalanced data, then identification accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent applies preliminary action by performing brightness adjustment and normalization processing before base type identification. These preprocessing steps prepare the image data in advance, ensuring that the subsequent identification process works with optimized data that highlights the distinguishing features of different bases, thereby improving accuracy while keeping the overall process organized and manageable
Data Source
AI summary
A base calling method and system, a gene sequencer and a storage medium. The base calling method comprises the following steps: acquiring a first image of a biochip in a red light channel and a second image of the biochip in a green light channel (S1); performing base grouping according to the first image and the second image, and preliminarily identifying the base category of each group (S2); when the number of the base categories of all the groups is at least two, adjusting the brightness value of the first image and the brightness value of the second image according to the base categories of all the groups (S3); respectively performing normalization processing on the first image and the second image (S4); and performing base grouping according to the normalized first image and the normalized second image, and identifying the base category of each group again (S5). The base calling method can accurately identify base categories for data to be sequenced in which some base categories are missing, so that the accuracy of gene sequencing can be improved.