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公开(公告)号：WO2023059646A1
公开(公告)日：2023-04-13
申请号：PCT/US2022/045684
申请日：2022-10-04
Applicant: 10X GENOMICS, INC.
Inventor： SIEGEL, Eric , JOEPH, Guy , STAAB, Jasper , HAMEL, Jessica
IPC: G16B20/20 , G01N1/30 , G16B30/10 , G16B40/30 , G16B45/00 , C12Q1/6886 , C12Q1/6869
Abstract: Systems and methods for evaluating one or more biological samples are provided. A dataset is obtained from nucleic acid sequencing of the biological samples. The dataset comprises a discrete attribute value for each of a plurality of reference sequences for each entity in a plurality of entities in the biological samples. A two-dimensional spatial arrangement of the plurality of entities is indexed, each entity independently assigned a unique two-dimensional position in a k-dimensional binary search tree, and the spatial arrangement is displayed. A user selection of a subset of the displayed arrangement is received. Each entity that is a member of the subset is determined using the k-dimensional binary search tree, thus identifying a subset of entities. Each entity in the subset of entities is assigned to a user-provided category, and the dataset is modified to store an association of each entity in the subset to the category.
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公开(公告)号：WO2023021205A1
公开(公告)日：2023-02-23
申请号：PCT/EP2022/073248
申请日：2022-08-19
Applicant: DIAGENODE SA
Inventor： HITA ARDIACA, Andrea , SCHVARTZMAN, Sol
Abstract: The present disclosure provides systems and methods for RNA expression quantification comprising hierarchical assignment of RNA sequence reads, communities detection of annotated features and community-level estimation of RNA expression levels.
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公开(公告)号：WO2022140055A1
公开(公告)日：2022-06-30
申请号：PCT/US2021/062258
申请日：2021-12-07
Applicant: GENENTECH, INC.
Abstract: Methods, systems, and computer program products are provided for clustering of similar peptides to detect candidates for target binding. In some embodiments, a method provided herein includes receiving sequencing information and quantification information of a plurality of peptides after target-binding selection in a library. The sequencing information includes amino acid sequences of the plurality of peptides, and the quantification information includes a count of copies of each amino acid sequence in the plurality of peptides. The method further includes computing similarity scores for pairs of the plurality of peptides using the sequencing information. The method further includes grouping the plurality of peptides into clusters based on the similarity scores. The method further includes screening the clusters based on quantification information of peptides in each cluster to obtain candidates for target binding over a pre-set threshold.
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公开(公告)号：WO2022098936A1
公开(公告)日：2022-05-12
申请号：PCT/US2021/058162
申请日：2021-11-05
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： HECKERMAN, David , SCHMITZ, Frank, Wilhelm , VOGELSONG, Michael
Abstract: Disclosed herein are methods for selecting one or more tumor-specific neoantigens from a tumor of a subject for a personalized immunogenic composition. Also disclosed herein are methods for treating cancer in a subject in need thereof by administering an immunogenic composition comprising tumor-specific neoantigens selected using the methods disclosed herein.
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公开(公告)号：WO2022070131A1
公开(公告)日：2022-04-07
申请号：PCT/IB2021/058998
申请日：2021-09-30
Applicant: GSI TECHNOLOGY INC.
Inventor： EREZ, Elona
Abstract: A protein searcher includes a pre-trained CNN, a feature extractor, a database and a KNN searcher. The pre-trained CNN, trained on a previously classified amino acid database, receives an unidentified amino acid sequence. The feature extractor extracts a feature vector of the unidentified amino acid sequence as a query feature vector. The database stores feature vectors of trained amino acid sequences and of at least one untrained amino acid sequence and stores associated classes of the trained amino acid sequences and associated tags of the at least one untrained amino acid sequence. The KNN searcher finds K feature vectors of the database which are close to the query feature vector and outputs the associated class or tag of each of the K feature vectors.
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Patent Agency Ranking
公开(公告)号：WO2022016271A1
公开(公告)日：2022-01-27
申请号：PCT/CA2021/051007
申请日：2021-07-21
Applicant: THE DNA COMPANY INC.
Inventor： MOHAMMED, Mansoor , LIEPERT, David , KHAN, Harris , KHAN, Kashif , SIDDIQUI, Kashif
Abstract: A system for providing intervention information to a subject may be configured to perform a method including: receiving, via the processor, genetic information of the subject, the genetic information including a plurality of sets, and each set comprising one or more genes; assigning, via the processor, a value to each respective set; assigning, via the processor, a respective classification to the subject in one or more categories, wherein: each category corresponds to a respective set; and the assignment of the respective classification is based on the respective values assigned to the respective sets; obtaining, via the processor, health profile information and wellness intervention information associated with the assigned classifications of the one or more categories; and outputting, via the processor, the health profile information and the wellness intervention information to a user. The assignment of the respective classification may be predictive of the health state of the subject, and a method may include: generating a health profile of the subject based on the predicted health state from the assigned classifications for the one or more categories; and outputting the health profile of the subject.
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公开(公告)号：WO2022010736A1
公开(公告)日：2022-01-13
申请号：PCT/US2021/040106
申请日：2021-07-01
Applicant: E25BIO, INC.
Inventor： HERRERA, Bobby, Brooke , BOSCH, Irene , LAL, Nikhil
Abstract: The subject matter disclosed herein relates to high throughput screening for monoclonal antibodies pairs that can be translated into rapid immunochromatography tests to specifically detect the viral protein antigens and distinguish between the closely related viruses and serotypes without cross-reaction.
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公开(公告)号：WO2021214102A1
公开(公告)日：2021-10-28
申请号：PCT/EP2021/060318
申请日：2021-04-21
Applicant: ETH ZÜRICH
Inventor： FICEK, Joanna , LEHMANN, Kjong-Van , LOCATELLO, Francesco , RAETSCH, Gunnar , STARK, Stefan
Abstract: A method of determining a correspondence between a first biological property of a cell and one or more further biological properties of cells is provided. The first biological property and the further biological properties are determined by different analysis techniques and each are contained in a respective one of a plurality of sets of biological properties. The method includes the steps of: converting the plurality of sets of biological properties into corresponding representations in a representation format which is invariant to the technologies used to derive the biological properties; determining, in said representation format, a representation from each of the converted sets of further biological properties which most closely matches the first representation of the first biological property; and re-converting the determined representations from the representation format back to the biological properties associated with the determined representations and thereby determining a correspondence between the first biological property and each of the further biological properties.
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公开(公告)号：WO2020253222A1
公开(公告)日：2020-12-24
申请号：PCT/CN2020/070789
申请日：2020-01-08
Applicant: 江南大学
Abstract: 本发明公开了一种动态残基相互作用网络的社团检测方法，属于计算机应用技术领域。所述方法包括将残基相互作用网络编码为进化图，进而筛选出进化图中的刚性残基相互作用，得到刚性残基相互作用网络，对刚性残基相互作用网络采用Fast-Newman算法进行社团检测，从而得到动态残基相互作用网络中的社团结构；通过将进化图和Fast-Newman聚类算法相结合，利用进化图实现残基相互作用网络的动态化，进而能够快速筛选出残基相互作用网络中持久的相互作用，并结合Fast-Newman聚类算法准确的挖掘出蛋白质的社团结构，便于后续分析影响蛋白质结构和性质关系的研究发展。
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公开(公告)号：WO2020243574A1
公开(公告)日：2020-12-03
申请号：PCT/US2020/035325
申请日：2020-05-29
Applicant: DELPHINUS MEDICAL TECHNOLOGIES, INC.
Inventor： ROY, Olivier , FORCHETTE, Mark , DACQUAY, Bruno
Abstract: Described herein are systems, and methods for aiding a user to classify a volume of tissue. A system as described herein may comprise: a plurality of parameters associated with image characteristics related to one or more images of a volume of tissue; a plurality of probabilities each associated with a potential classification of a region of the volume of tissue and each related to one or more parameters of the plurality of parameters, wherein the plurality of probabilities are assumed to be independent of one another; and a graphical display visible to a user, the display comprising a graphical representation of a subset of relevant parameters of the plurality of parameters, wherein the graphical representation informs a classification of the region of the volume of tissue, and wherein a probability of the classification is represented visually.
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