NanoString Technologies. has filed a patent for a method to process sequencing data for identifying DNA fragments from reads in a sequencing data file. The method involves multiple adapter trimming passes to accurately determine the identity of DNA fragments. GlobalData’s report on NanoString Technologies 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 NanoString Technologies, Personalized medicine biomarkers was a key innovation area identified from patents. NanoString Technologies's grant share as of January 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.
Dna fragment identity determination method using sequencing data processing
A recently filed patent (Publication Number: US20240021270A1) outlines a sequencing data processing method designed to aid in identifying DNA fragments from a multitude of reads within a sequencing data file. The method involves multiple adapter trimming passes, starting with a first pass at a specific base pair and potentially followed by additional passes if the read exceeds a certain length. Each pass involves matching adapters to the sequence to ultimately trim single-ended and paired-end reads to specific lengths. The method also includes re-labeling insert base pairs based on the trimming process.
Furthermore, the patent details additional processing steps that can be performed on the sequencing reads, such as stitching, extracting unique molecular identifiers and barcodes, and matching reads against a library of expected barcodes. The method also includes a second matching process for barcodes that were not initially matched, allowing for confirmation through comparison with previously matched barcodes. The patent also describes a system or device comprising a computer processor with instructions to execute the method outlined in the patent, emphasizing the practical application of the sequencing data processing method in a technological setting.
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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
