Invention Grant
- Patent Title: Pathogen detection using next generation sequencing
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Application No.: US15931487Application Date: 2020-05-13
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Publication No.: US11380421B2Publication Date: 2022-07-05
- Inventor: Charles Chiu , Samia Naccache , Scot Federman , Doug Stryke , Steve Miller , Erik Samayoa
- Applicant: The Regents of the University of California
- Applicant Address: US CA Oakland
- Assignee: The Regents of the University of California
- Current Assignee: The Regents of the University of California
- Current Assignee Address: US CA Oakland
- Agency: Gavrilovich, Dodd & Lindsey LLP
- Main IPC: G16B30/10
- IPC: G16B30/10 ; G16B30/00 ; G16B20/00 ; G16B20/20

Abstract:
Embodiments are directed to systems and methods for pathogen detection using next-generation sequencing (NGS) analysis of a sample. Embodiments may apply alignment algorithms (e.g., SNAP and/or RAPSearch alignment algorithms) to align individual sequence reads from a sample in a next-generation sequencing (NGS) dataset against reference genome entries in a classified reference genome database. Embodiments of the present invention may include classifying, filtering, and displaying results to a clinician that can then quickly and easily obtain the results of the sequencing to identify a pathogen or other genetic material in a sample that is being tested. A negative sample and a corresponding database can be used to remove contaminants from a list of candidate pathogens. Thus, embodiments are directed to a system that is configured to filter the results of a sequencing alignment and classify a sample quickly.
Public/Granted literature
- US20200335177A1 PATHOGEN DETECTION USING NEXT GENERATION SEQUENCING Public/Granted day:2020-10-22
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