Invention Grant
- Patent Title: Machine learning enabled pulse and base calling for sequencing devices
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Application No.: US16258299Application Date: 2019-01-25
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Publication No.: US11538556B2Publication Date: 2022-12-27
- Inventor: Jonathan M. Rothberg , Michael Meyer , Umut Eser
- Applicant: Quantum-Si Incorporated
- Applicant Address: US CT Guilford
- Assignee: Quantum-Si Incorporated
- Current Assignee: Quantum-Si Incorporated
- Current Assignee Address: US CT Guilford
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G01N33/50 ; G16B30/10 ; G16B30/20 ; G06N20/00 ; G16B45/00 ; G16B40/10 ; G16B40/20 ; G01N21/64 ; G06N3/04 ; G16B40/30 ; C12Q1/6869 ; C12Q1/6874

Abstract:
A method includes obtaining, from one or more sequencing devices, raw data detected from luminescent labels associated with nucleotides during nucleotide incorporation events; and processing the raw data to perform a comparison of base calls produced by a learning enabled, automatic base calling module of the one or more sequencing devices with actual values associated with the raw data, wherein the base calls identify one or more individual nucleotides from the raw data. Based on the comparison, an update to the learning enabled, automatic base calling module is created using at least some of the obtained raw data, and the update is made available to the one or more sequencing devices.
Public/Granted literature
- US20190237160A1 MACHINE LEARNING ENABLED PULSE AND BASE CALLING FOR SEQUENCING DEVICES Public/Granted day:2019-08-01
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