Illumina had 58 patents in artificial intelligence during Q2 2024. Illumina Inc filed patents in Q2 2024 for technologies related to context-dependent base calling, cluster segmentation, base calling, and methylation sequencing assay data analysis. The patents describe systems and methods utilizing hardwired digital logic circuits for bioinformatics analysis on genetic sequence data, including base calling and HMM analysis. The technologies aim to improve the efficiency and accuracy of genotype calls and sequencing data analysis. 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 artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Context-dependent base calling (Patent ID: US20240212791A1)
The technology disclosed in this patent application focuses on context-dependent base calling in sequencing processes. It involves a system that stores k-mer-specific centroids for k-mers, which are learned through training a base calling pipeline. These centroids are then used to predict intensity values for sequencing cycles, update centroids based on training loss, and ultimately base call sequences based on k-mer context. The method involves accessing intensity data, identifying base context, accessing centroids, and comparing intensity data to make base calls.
The claims detail the computer-implemented method for base calling a target cluster, emphasizing the use of k-mer-specific centroids to represent intensity values of clusters with specific base contexts. The method involves processing base calls in permutations of k-mer-specific time series, correcting for various effects like chemistry modulation, and utilizing convolution kernels and backpropagation for transformation. The claims also cover the correction of phasing effects, merging centroids for intensity value prediction, and the implementation of an Adam optimizer for backpropagation. Additionally, the patent application includes claims for a non-transitory computer-readable storage medium and a system that implements the described method for context-dependent base calling.
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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.
