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Analysis

1.20220251634METHOD FOR RECORDING ELAPSED TIME IN DNA OF CELLS
US 11.08.2022
Int.Class C12Q 1/6827
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
6813Hybridisation assays
6827for detection of mutation or polymorphism
Appl.No 17290657 Applicant INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY Inventor Hyong Bum KIM

The present invention relates to a method for recording the passage of time in DNA of cells. More specifically, the present invention relates to a method for measuring time which has elapsed from a predetermined time point in cells using target genome editing system, and to a system for measuring time in cells. The method of the present invention is a new synthetic biological clock that enables the accurate in vivo measurement of the time which has elapsed from a defined time point to any time point. Through the system of the present invention, time information ranging from hours to weeks can be accurately recorded in vitro or in vivo in DNA of animal cells and living animals, and the time which has elapsed from a recorded time point can be measured at an unknown time point through DNA sequencing. Also, when the synthetic DNA clock of the present invention is used, it is possible to accurately record and measure the exposure time of cultured cells to chemicals and the lifespan of living animals remaining after time starts to be recorded in the living animals. In addition, temporal information regarding various intracellular signal transductions can be recorded and decoded in DNA in the cells using the synthetic DNA clock of the present invention.

2.20220254442METHODS AND SYSTEMS FOR VISUALIZING SHORT READS IN REPETITIVE REGIONS OF THE GENOME
US 11.08.2022
Int.Class G16B 20/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
20Allele or variant detection, e.g. single nucleotide polymorphism detection
Appl.No 17547297 Applicant Illumina, Inc. Inventor Egor Dolzhenko

The disclosed embodiments concern methods, apparatus, systems and computer program products for genotyping and visualizing repeat sequences such as medically significant short tandem repeats (STRs). Some implementations can be used to genotype and visualize repeat sequences each including two or more repeat sub-sequences. Some implementations provides a computer tool to generate sequence read pileups for visualizing repeat sequences for samples that have different genotypes of the repeat sequence, each sequence pileup including reads aligned to two or more different haplotypes.

3.WO/2022/168774ESTIMATION DEVICE, LEARNING DEVICE, OPTIMIZATION DEVICE, ESTIMATION METHOD, LEARNING METHOD, AND OPTIMIZATION METHOD
WO 11.08.2022
Int.Class G16B 40/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
Appl.No PCT/JP2022/003522 Applicant SHIMADZU CORPORATION Inventor SUZUKI, Takashi
This estimation device (200) generates quality prediction data (540) representing the quality of a drug substance for a biopharmaceutical manufactured through culturing cells by inputting, into a prediction model (420), measurement data (510) including a measurement result obtained by measuring a substance within a culturing vessel at at least one timing after a specified interval has passed since seeding the cells in a culture medium. The prediction model (420) is generated by executing learning processing using data for learning (530) including measurement data that includes measurement results obtained by measuring the substance within the culturing vessel at a plurality of timings after seeding the cells in the culture medium, and quality data obtained by analyzing the drug substance for a biopharmaceutical manufactured from the cells.
4.WO/2022/169684METHODS AND COMPOSITIONS FOR DIAGNOSING AND TREATING RARE GENETIC DISEASES
WO 11.08.2022
Int.Class C40B 30/06
CCHEMISTRY; METALLURGY
40COMBINATORIAL TECHNOLOGY
BCOMBINATORIAL CHEMISTRY; LIBRARIES, e.g. CHEMICAL LIBRARIES, IN SILICO LIBRARIES
30Methods of screening libraries
06by measuring effects on living organisms, tissues or cells
Appl.No PCT/US2022/014243 Applicant ROSEBUD BIOSCIENCES, INC. Inventor WILSON, Kitch
Collectively, rare diseases affect approximately 350 million people worldwide, of which half are diagnosed in childhood. Even though more than 80% of rare diseases are genetic in origin and begin in utero, drug target discovery has historically been stymied due to difficulties in obtaining fetal, neonatal, and pediatric tissues for genetic study and drug discovery. Disease modeling with patient-specific hiPSCs is an ideal platform for both rapid identification and experimental validation of early life disease mechanisms. This invention combines high content genomic assays, phenotypic measurements, and machine learning (Artificial Intelligence/Machine Learning) with hiPSC disease models to identify DNA mutations causing early life diseases.
5.20220254447INTERMEDIATE RECURRENT PARENTS, AN ACCELERATED AND EFFICIENT MULTI-LAYER TRAIT DELIVERY SYSTEM
US 11.08.2022
Int.Class G16B 20/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
40Population genetics; Linkage disequilibrium
Appl.No 17590095 Applicant Monsanto Technology LLC Inventor Carrin Carlson

The present disclosure provides methods for trait introgression involving crossing a donor plant comprising a trait of interest to an intermediate recurrent parent plant followed by crossing of the intermediate recurrent parent plant to one or more recipient parent plants. The present method may be used to introgression a desired trait of interest into the genome of an elite cultivar in fewer backcross generations, thereby accelerating new line production and reducing costs.

6.20220254445COMPUTER IMPLEMENTED METHOD OF PERSONAL IDENTITY VERIFICATION INCLUDING BLOCKCHAIN ENHANCEMENTS
US 11.08.2022
Int.Class G16B 20/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
20Allele or variant detection, e.g. single nucleotide polymorphism detection
Appl.No 17695558 Applicant Grant A. Bitter Inventor Grant A. Bitter

This invention discloses an automated computer method for personal identity verification with improvements over existing technology. Specific embodiments of the invention ensure that an individual's personal identity data may be electronically maintained in databases and used for identity verification with a high level of security. The invention greatly minimizes the possibility of identity theft and identity fraud compared to existing methodologies. The process employs a plurality of networked computers and application programming interfaces. In certain embodiments the process is used in multifactor authorization to login to a server, network or online accounts (e.g. private databases, internet websites). Additional features that improve the basic identity verification process are provided through incorporation of blockchain technology. The computer implemented process is initiated by receiving an electronic request, from an entity representing to be a certain individual, that requires verification to proceed. Various embodiments of the invention utilize previously determined sequence information for the given individual stored in a separate secure database to either confirm or deny the electronic request. As part of this process, certain data is required to be electronically submitted by the requesting entity as credentials. Various computational methods are then used to determine whether the data credentials electronically submitted correspond to the sequence information of the given individual stored in the database. If the computations yield concordance between the electronically submitted data credentials and the given individual's data in the database, the computer system allows the electronic request to proceed; if the computation detects discrepancy between the two datasets the electronic request is rejected.

7.20220251661HIERARCHICAL MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREE OF SKIN TUMORS AND APPLICATION THEREOF
US 11.08.2022
Int.Class C12Q 1/6886
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
6883for diseases caused by alterations of genetic material
6886for cancer
Appl.No 17274864 Applicant Lisen Imprinting Diagnostics Wuxi Co., Ltd. Inventor Tong Cheng

Disclosed are a grading model for detecting the benign and malignant degree of skin tumors and an application thereof. The model grades changes of imprinted genes in tumors by calculating the expression of the loss of imprinting of the imprinted genes, the expression of the copy number variation of the imprinted genes and the total expression of the imprinted genes. The detection model and device intuitively express the presentation of the loss of imprinting on tissue and cell samples of patients with skin tumors, detect the changes of imprinted genes by means of in-situ marking objectively, intuitively and accurately in an early phase, provide a quantitative model, and make a great contribution to the diagnosis of skin tumors.

8.20220254490DATA PROCESSING SYSTEM FOR ESTIMATING DISEASE PROGRESSION RATES
US 11.08.2022
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 17168733 Applicant Anvitha Addanki Inventor Anvitha Addanki

A method for treatment of a disease by monitoring a progression of the disease includes obtaining image data including a representation of diseased cells of a patient. Based on the type of the disease, one or more features to extract from the image data are determined, the features each representing a physical parameter of at least one of the diseased cells represented in the image data. A feature vector is formed from the extracted features. A machine learning model is selected, and the feature vector is processed using the machine learning model. The machine learning model is trained with labeled image data representing instances of diseased cells having the disease and associating scores representing predicted rates of disease progression with the respective instances of diseased cells having the type of disease. Based on the processing, a score is determined that represents a predicted rate of disease progression indicated by the image data.

9.20220254444SYSTEMS AND METHODS FOR DETECTING RECOMBINATION
US 11.08.2022
Int.Class G16B 20/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
20Allele or variant detection, e.g. single nucleotide polymorphism detection
Appl.No 17670380 Applicant Seven Bridges Genomics Inc. Inventor Devin Locke

A method for screening for disease in a genomic sample is includes receiving a representation of a reference genome comprising a sequence of symbols. The presence of a predicted mutational event is identified in a location of the reference genome. An alternate path is created in the reference genome representing the predicted mutational event. A plurality of sequence reads are obtained from a genomic sample, wherein at least one sequence read comprises at least a portion of the predicted mutational event. The at least one sequence read is then mapped to the reference genome and a location is determined corresponding to the predicted mutational event. The predicted mutational event is then identified as present in the genomic sample. The method may be used to detect evidence of non-allelic homologous recombination (NAHR) occurring in genomic samples.

10.20220254450method for classifying individuals in mixtures of DNA and its deep learning model
US 11.08.2022
Int.Class G16B 40/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
Appl.No 17550380 Applicant National Taiwan University Inventor Mong-Hsun Tsai

A method for classifying individuals in mixtures of DNA is disclosed. The method comprises: Provide next-generation sequencing (NGS) data which comprises raw sequence reads originated from mixtures of DNA; performing a data processing procedure to generate a plurality of sparse matrix; and input the plurality of sparse matrix into a trained deep learning model installed on computers to classify individuals in the mixtures of DNA. In particular, the method is used to classify individuals in mixture of the DNAs from forensic dataset or whole exome sequencing dataset.