Western Digital has been granted a patent for a device that uses a two-dimensional systolic array to locate a sample read in relation to a reference genome. The device stores reference and current substring sequences in groups of cells, identifying matches between them. GlobalData’s report on Western Digital 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 Western Digital, was a key innovation area identified from patents. Western Digital's grant share as of May 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Device for locating sample read with respect to reference genome
A recently granted patent (Publication Number: US12014802B2) discloses a device and method for locating a sample read within a reference genome using a two-dimensional systolic array. The device includes groups of cells that store reference sequences and current substring sequences, allowing for comparison and identification of matching sequences. The circuitry within the device is configured to perform logic operations, XNOR operations, and calculate products to determine matches between reference and sample sequences stored in the cells.
Furthermore, the method involves storing different substring sequences, overwriting and retaining sequences, and determining a probabilistic location of the sample read within the reference genome. By iterating through various operations on the stored sequences in the groups of cells, the device can accurately identify matches and determine the sample read's location within the reference genome. The device's operation is based on a predetermined number of cells within each group, typically ranging from 17 to 25 cells, and utilizes Field Programmable Gate Arrays (FPGAs) or Application Specific Integrated Circuits (ASICs) in the circuitry for efficient processing. Overall, the patented technology offers a sophisticated approach to sequence matching and location determination within genomic data, potentially advancing research and applications in genomics and bioinformatics.
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