公开(公告)号：US11795495B1

公开(公告)日：2023-10-24

申请号：US16591296

申请日：2019-10-02

Applicant: Life Epigenetics, Inc.

Inventor： Randal S. Olson ,  Brian H. Chen

IPC: C12Q1/6825 ,  G16H10/60 ,  G16H50/50 ,  G16B5/20 ,  G16H50/20 ,  G16H50/70 ,  G16B40/10 ,  G16H50/30 ,  G01N33/53 ,  G16B20/00 ,  G16B40/30 ,  G16B40/00 ,  C12Q1/6869 ,  G16B40/20 ,  C12Q1/6876

CPC classification number: C12Q1/6825 ,  C12Q1/6869 ,  C12Q1/6876 ,  G01N33/53 ,  G16B5/20 ,  G16B20/00 ,  G16B40/00 ,  G16B40/10 ,  G16B40/20 ,  G16B40/30 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70

Abstract: A machine learning (ML) architecture may be trained to determine an estimated epigenetic status at a target DNA locus based at least in part on epigenetic data associated with one or more other DNA loci. The ML architecture may additionally or alternatively be used to detect a failed epigenetic assay and/or determine a likelihood that a subject has falsified information provided about the subject.

公开(公告)号：US20230326558A1

公开(公告)日：2023-10-12

申请号：US18297685

申请日：2023-04-10

Applicant: THE HONG KONG POLYTECHNIC UNIVERSITY

Inventor： Zhongping YAO ,  Cheuk Chi NG ,  Francis Chung Ming LAU ,  Wai Man TAM

IPC: G16B50/30 ,  G16B40/10 ,  G06F16/901 ,  G06F16/215

CPC classification number: G16B50/30 ,  G06F16/215 ,  G06F16/9024 ,  G16B40/10

Abstract: Peptide sequencing is important in decoding data stored in a data-encoded peptide. Tandem mass spectrometry (MS/MS) is particularly useful for peptide sequencing. In a computer-implemented method for sequencing the data-encoded peptide from an experimental spectrum, raw data of the experimental spectrum are first preprocessed to remove uninterpretable peaks to yield preprocessed data. A first set of one or more candidate sequences contending for a peptide sequence of the peptide is identified from a spectrum graph. The spectrum graph is formed according to the preprocessed data rather than the raw data for generating a fewer number of candidate sequences to thereby reduce a time cost in sequencing. The first candidate-sequence set is then processed to estimate the peptide sequence to thereby obtain a set of peptide-sequence estimate(s). Each estimate is verified whether it is invalid. The set of peptide-sequence estimate(s) is purged to remove any invalid estimate.

公开(公告)号：US20230307095A1

公开(公告)日：2023-09-28

申请号：US18191477

申请日：2023-03-28

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Christian KOLLER ,  Marcin SIKORA ,  Peter VANDER HORN

IPC: G16B40/10 ,  G16B5/00 ,  G16B20/00 ,  G16B25/00 ,  G16B30/00

CPC classification number: G16B40/10 ,  G16B5/00 ,  G16B20/00 ,  G16B25/00 ,  G16B30/00 ,  C12Q1/6869

Abstract: A method for nucleic acid sequencing includes receiving nucleic acid sequencing data from a sequencing instrument that receives and processes a sample nucleic acid in a sequencing-by-synthesis process. The method also includes generating a set of candidate sequences of bases for the observed or measured nucleic acid sequencing data by determining a predicted signal for candidate sequences using a simulation framework. The simulation framework incorporates an estimated carry forward rate (CFR), an estimated incomplete extension rate (IER), an estimated droop rate (DR), an estimated reactivated molecules rate (RMR), and an estimated termination failure rate (TFR), the RMR being greater than or equal to zero and the TFR being lesser than one. The method also includes identifying, from the set of candidate sequences of bases, a candidate sequence as corresponding to the sequence for the sample nucleic acid.

公开(公告)号：US20230298699A1

公开(公告)日：2023-09-21

申请号：US17922222

申请日：2021-04-28

Applicant: Roche Sequencing Solutions, Inc.

Inventor： Han-Yu Chuang ,  Mark Holmstrom ,  Olga Kamneva

IPC: G16B25/20 ,  G16B40/10

CPC classification number: G16B25/20 ,  G16B40/10

Abstract: The present disclosure relates to a method for detection reaction volume deviations in a digital polymerase chain reaction (dPCR) and to a method for determining the amount or concentration of a nucleic acid of interest in a sample with dPCR.

公开(公告)号：US11761043B2

公开(公告)日：2023-09-19

申请号：US16795060

申请日：2020-02-19

Applicant: Geneticure Inc.

Inventor： Eric Snyder ,  Ryan Sprissler ,  Scott C. Snyder

IPC: G01N33/68 ,  C12Q1/6883 ,  G16B20/20 ,  G16B20/00 ,  G16B40/10 ,  G16B50/00 ,  G16H20/00 ,  G16H20/10

CPC classification number: C12Q1/6883 ,  G01N33/6893 ,  G16B20/20 ,  C12Q2600/106 ,  C12Q2600/156 ,  G01N2800/321 ,  G16B20/00 ,  G16B40/10 ,  G16B50/00 ,  G16H20/00 ,  G16H20/10

Abstract: The invention relates to improved methods, devices, and kits for identifying and implementing an appropriate treatment regimen for subjects suffering from hypertension.

公开(公告)号：US20230282311A1

公开(公告)日：2023-09-07

申请号：US18076280

申请日：2022-12-06

Applicant: Carnegie Mellon University

Inventor： Bahar Behsaz ,  Liu Cao ,  Mustafa Guler ,  Yi-Yuan Lee ,  Hosein Mohimani ,  Mihir Mongia ,  Donghui Yan

IPC: G16B40/10

CPC classification number: G16B40/10

Abstract: A method and system is for receiving data representing gene clusters, the gene clusters including one or more genes configured to encode one or more polypeptides or other small molecules; accessing a machine learning model, the machine learning model being trained with a training dataset that associates the gene clusters to structures of one or more small molecules represented in the data; applying the machine learning model to the data representing the gene clusters; identifying, based on applying the machine learning model, one or more monomers associated with at least one gene cluster represented in the data; and determining a structure for a natural product including the one or more monomers.

公开(公告)号：US20230268032A1

公开(公告)日：2023-08-24

申请号：US18017123

申请日：2020-07-31

Applicant: HITACHI HIGH-TECH CORPORATION

Inventor： Tatsuo NAKAGAWA ,  Yusuke GOTO ,  Rena AKAHORI ,  Michiru FUJIOKA

IPC: G16B40/10 ,  G06N3/045 ,  G06N3/08 ,  G16B40/20 ,  G16B30/00

CPC classification number: G16B40/10 ,  G06N3/045 ,  G06N3/08 ,  G16B40/20 ,  G16B30/00

Abstract: Provided is a method for generating a trained model for classifying blocking event data representing nanopore blocking events in a biomolecule measurement device. The method includes generating a first trained model by executing machine learning of a training model using first teacher data, the first teacher data includes teacher blocking event data and a teacher label, the teacher label indicates whether the teacher blocking event data is classified as Good data or bad data, and the first trained model is configured to classify the blocking event data into good data or bad data. In addition, a method for determining a base sequence a biomolecule and a biomolecule measurement device are provided.

公开(公告)号：US11732294B2

公开(公告)日：2023-08-22

申请号：US16590301

申请日：2019-10-01

Applicant: Twist Bioscience Corporation

Inventor： Ramsey Ibrahim Zeitoun ,  Siyuan Chen ,  Richard Gantt ,  Kristin D. Butcher ,  E. Hutson Chilton

IPC: C12Q1/68 ,  C12Q1/6869 ,  G16B40/10 ,  C40B30/10 ,  C40B70/00

CPC classification number: C12Q1/6869 ,  C40B30/10 ,  C40B70/00 ,  G16B40/10

Abstract: Provided herein are compositions, methods and systems relating to libraries of polynucleotides such that the libraries allow for accurate and efficient hybridization after binding to target sequences. Further provided herein are probes, blockers, additives, buffers, and methods that result in improved hybridization. Such compositions and methods are useful for improvement of Next Generation Sequencing applications, such as reducing off-target binding or reducing workflow times.

公开(公告)号：US20230253113A1

公开(公告)日：2023-08-10

申请号：US18164542

申请日：2023-02-03

Applicant: Seer, Inc.

Inventor： Harendra GUTURU ,  Mahdi ZAMANIGHOMI

IPC: G16H50/20 ,  G16B20/00 ,  G16B40/10 ,  G16B40/20

CPC classification number: G16H50/20 ,  G16B20/00 ,  G16B40/10 ,  G16B40/20

Abstract: In some aspects, the present disclosure describes a method for determining a biological state associated with a polyamino acid descriptor. In some cases, the method comprises receiving the polyamino acid descriptor comprising at least one dimension representing a polyamino acid association with a given assay method. In some cases, the method comprises generating, in a latent space, a latent descriptor based at least in part on the polyamino acid descriptor, and wherein the latent descriptor comprises sufficiently fewer dimensions than the polyamino acid descriptor such that at least a portion of information in the polyamino acid descriptor is lost in the latent descriptor. In some cases, the method comprises determining, based at least in part on the latent descriptor, the biological state associated with the polyamino acid descriptor.

公开(公告)号：US20230253072A1

公开(公告)日：2023-08-10

申请号：US18148932

申请日：2022-12-30

Applicant: INVITROGEN BIOSERVICES INDIA PRIVATE LIMITED

Inventor： Sriram PARAMESWARAN ,  Rajeev PANDEY ,  Neetu SAIN

IPC: G16B40/10 ,  G16B40/20 ,  G06T7/00

CPC classification number: G16B40/10 ,  G16B40/20 ,  G06T7/0012 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Provided are computer implemented systems and methods for detecting one or more analytes in an immunoassay. Embodiment systems and methods of the disclosure can train a machine learning network using immunoassay reference data on an analyte and output a set of target experimental input parameters to detect the analyte. A machine learning network can utilize the received data to generate target parameters, and can develop an immunoassay parameter set to detect and/or quantify an analyte. Computer implemented systems and methods of the disclosure can also generate troubleshooting assistance outputs for immunoassays.