公开(公告)号：US20230410943A1

公开(公告)日：2023-12-21

申请号：US18143828

申请日：2023-05-05

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Cheng-Zong Bai ,  Eugene Ingerman ,  Chao Wang ,  Alison Lai ,  Werner Puschitz

IPC: G16B20/20 ,  G06N3/0464 ,  G06N3/09 ,  G16B30/00 ,  G16B40/20

CPC classification number: G16B20/20 ,  G06N3/0464 ,  G06N3/09 ,  G16B30/00 ,  G16B40/20

Abstract: A method for labeling sequence reads includes retrieving a sequence read having an associated flow measurement and an associated flow order; matching a sequence selected from a plurality of sequences with the sequence read, the sequence having a position within the sequence that has more than one acceptable variants; determining which variant of the more than one acceptable variants matches the sequence; generating a predicted flow measurement based on the matched sequence, the variant, and a flow order; and labeling the sequence read and associated flow measurement with the predicted flow measurement.

公开(公告)号：US20250061973A1

公开(公告)日：2025-02-20

申请号：US18816205

申请日：2024-08-27

Applicant: Life Technologies Corporation

Inventor： Chao Wang ,  Eugene Ingerman

IPC: G16B40/10 ,  C12Q1/6869 ,  G06N3/045 ,  G06N3/08 ,  G16B30/00

Abstract: An artificial neural network is applied to a plurality of flow predictor features to generate a flow space probability of error for a base call. A base quality value for the base call is determined based on the flow space probability of error. The base call and flow predictor features are based on the flow space signal measurements generated in response to the nucleotide flow to the reaction confinement region. For an array of reaction confinement regions, a plurality of parallel neural networks is applied to produce a probability of error for each reaction confinement region. A given neural network of the parallel neural networks is applied to the plurality of flow predictor features corresponding to a given reaction confinement region in the array to provide the flow space probability of error for the given reaction confinement region.

公开(公告)号：US20190237163A1

公开(公告)日：2019-08-01

申请号：US16245343

申请日：2019-01-11

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Chao Wang ,  Eugene INGERMAN

IPC: G16B40/10 ,  G16B30/00 ,  G06N3/08

CPC classification number: G16B40/10 ,  C12Q1/6869 ,  G06N3/0454 ,  G06N3/08 ,  G16B30/00

Abstract: An artificial neural network is applied to a plurality of flow predictor features to generate a flow space probability of error for a base call. A base quality value for the base call is determined based on the flow space probability of error. The base call and flow predictor features are based on the flow space signal measurements generated in response to the nucleotide flow to the reaction confinement region. For an array of reaction confinement regions, a plurality of parallel neural networks is applied to produce a probability of error for each reaction confinement region. A given neural network of the parallel neural networks is applied to the plurality of flow predictor features corresponding to a given reaction confinement region in the array to provide the flow space probability of error for the given reaction confinement region.