Seegene‘s patent involves a method to differentiate signals of interest for two target nucleic acid sequences in a sample. By using mathematical equations and an equation-solving approach, the invention provides a systematic and accurate way to analyze signals detected at different temperatures, enhancing convenience and precision in analysis. GlobalData’s report on Seegene gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Seegene, AI-assisted drug screening was a key innovation area identified from patents. Seegene's grant share as of January 2024 was 30%. Grant share is based on the ratio of number of grants to total number of patents.
Method for differentiating signals of interest for target nucleic acids
A recently granted patent (Publication Number: US11859243B2) outlines a method for differentiating signals of interest for two target nucleic acid sequences in a sample that cannot be distinguished by a single type of detector. The method involves incubating the sample with specific signal-generating means for each target sequence and detecting signals at different temperatures. By utilizing a set of equations and reference values, the signals of interest generated by the signal-generating means can be differentiated and assigned to the respective target nucleic acid sequences. This innovative approach allows for the accurate detection and differentiation of multiple target sequences in a sample, enhancing the efficiency and reliability of nucleic acid analysis processes.
Furthermore, the patent describes the application of this method in detecting a variable number of target nucleic acid sequences in a sample, where each sequence is detected by a corresponding signal-generating means. By providing a set of equations and reference values for each target sequence, the signals of interest can be effectively differentiated and assigned, even when multiple sequences are present and indistinguishable by a single detector. This technology opens up new possibilities for precise and multiplexed nucleic acid analysis, offering a valuable tool for various research, diagnostic, and biotechnological applications.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
