10X Genomics. has been granted a patent for a computing system that analyzes structural variations in nucleic acid fragments against a reference genome. The system utilizes a data construct with sequence read pools to classify and model variations at specific loci, employing iterative calculations for accuracy. GlobalData’s report on 10X Genomics gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on 10X Genomics, ChIP-seq sequencing was a key innovation area identified from patents. 10X Genomics's grant share as of June 2024 was 23%. Grant share is based on the ratio of number of grants to total number of patents.
Analyzing structural variations in genomic sequences
The granted patent US12046330B2 describes a computing system designed to determine structural variations at specific loci within a reference genome. The system comprises one or more processors and memory that stores programs with instructions for analyzing nucleic acid fragments. These fragments, which represent less than one percent of the reference genome, are organized into sequence read pools characterized by unique identifier strings. The system classifies sequence reads based on their alignment with the first or second locus, allowing for the identification of structural variations through a series of calculations and adjustments using an expectation-maximization algorithm. This iterative process continues until a convergence criterion is met, indicating whether a structural variation exists at the specified loci.
Additionally, the patent outlines various features of the computing system, including the ability to handle large reference genomes and the use of multiple models to assess different types of structural variations, such as deletions, duplications, inversions, and translocations. The system can also identify loci based on a threshold probability derived from the overlap of sequence reads. The claims emphasize the system's capability to analyze a significant number of nucleic acid fragments, ensuring comprehensive coverage of the loci in question. Overall, the patent presents a methodical approach to genomic analysis, leveraging advanced computational techniques to enhance the understanding of genetic variations.
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