Illumina had five patents in big data during Q2 2024. Illumina Inc filed a patent for a reference-based method to compress genome sequence data from sequencing machines. The method categorizes sequences as perfectly mapped, imperfectly mapped, or unmapped to a reference sequence, and encodes them based on this determination. Imperfectly mapped sequences are encoded differently based on the number of mismatches with the reference sequence compared to a threshold value. GlobalData’s report on Illumina gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Illumina had no grants in big data as a theme in Q2 2024.

Recent Patents

Application: Method for the compression of genome sequence data (Patent ID: US20240194296A1)

The patent filed by Illumina Inc. describes a method for compressing genomic sequence data obtained from sequencing machines. The method involves determining whether a sequence read is perfectly mapped, imperfectly mapped, or unmapped to a reference sequence, and then encoding the sequences based on this determination. Specifically, for imperfectly mapped reads, the number of mismatches is compared to a threshold value, and if it meets the threshold, the mismatches are encoded into a record with a size of 1 byte. The encoding process includes representing alternate nucleotides or bases and offsets from previous mismatches within the read.

Furthermore, the method includes operations for handling cases where the number of mismatches does not meet the threshold, encoding perfectly mapped reads using reduced information entropy encoding, and inserting fake mismatches if the offset exceeds a maximum value. The patent also covers hardware processors configured to perform these operations, including determining mismatch thresholds, encoding mismatches, and handling offset values. Additionally, the patent describes a system comprising computers and storage devices to execute the compression operations, as well as a computer-readable storage device storing instructions for compressing genomic sequence data based on the described method.

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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.