A DNA fluorescence spectrum acquisition method based on quantitative analysis of characteristic molecular weight internal standard

Abstract

The invention discloses a DNA fluorescence spectrum collecting method based on characteristic molecular weight interior label quantitative analysis. The method is used for performing data acquisition on a detecting sample which simultaneously contains an interior label sample-adding marker DNA fragment and unknown DNA fragment length information, and also used for performing real-time processing on the acquired initial data. The DNA fluorescence spectrum collecting method based on characteristic molecular weight interior label quantitative analysis comprises the following steps: firstly, performing primer peak identification; then, performing spectral correction point by point on the acquired signal after the primer peak, and performing peak identification on a corresponding interior label channel signal to match with a characteristic molecular weight peak until the characteristic peak with the greatest molecular weight of the interior label is extracted; and finally, according to the peak position corresponding to the greatest molecular weight, determining an ending moment of the DNA fluorescence spectrum data acquisition. The method can be used for reducing the DNA fluorescence spectrum data acquisition time, saving the internal storage occupied by source data, reducing the subsequent processed data and finally improving the DNA identification working efficiency.

Description

technical field [0001] The invention relates to the technical field of DNA detection, in particular to a DNA fluorescence spectrum collection method based on the quantitative analysis of a characteristic molecular weight internal standard. Background technique [0002] With the rapid development of science and technology, the rapid rise of the era of big data poses many challenges to the manufacture of modern analytical instruments and instrument analysis methods. At present, the demand for DNA analysis business and the rapid growth of biological information data, how to improve the speed of data access, save the memory occupied by data, and improve the maintenance of the database are the keys to the development of DNA biological research. If the big data DNA biological information access and processing technology stagnates, it will seriously limit the utilization of data, thereby hindering the development of the entire DNA instrument analysis technology. [0003] Undoubted...

AI Technical Summary

Problems solved by technology

At present, the number of data acquisition frames of DNA analysis instruments is a constant, which stipulates a fixed number of data acquisition frames for the detection business. Although this can fully cover the required detection range, the useless data corresponding to the actual detection range is undoubtedly wasted. memory and acquisition time, and thus lead to an innocent increase in subsequent data access, data processing, and data analysis time

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