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    • 3. 发明专利
    • Method for determining human phenotype ontology, and related devices
    • IL288616D0
    • 2022-02-01
    • IL28861621
    • 2021-12-02
    • BGI GENOMICS CO LTDBGI HEALTH HK COMPANY LTD
    • G06F16/33
    • A human phenotypic standard term determination method, and a related device. The method comprises: obtaining symptom description information (S100); performing query matching on word segmentation groups corresponding to various human phenotypic standard terms in a pre-set human phenotypic standard term library and the symptom description information, and determining the degree of matching between each human phenotypic standard term and the symptom description information (S200), wherein the word segmentation group comprises at least one segmented word list obtained by means of performing, according to a pre-set word segmentation rule, word segmentation on human phenotypic standard terms corresponding to the word segmentation group, and the segmented word list comprises at least one segmented word; and determining a human phenotypic standard term, the degree of matching of which meets a pre-set matching success condition (S300). According to the method, query matching is performed on symptom description information and word segmentation groups corresponding to various human phenotypic standard terms, and a human phenotypic standard term conforming to the symptom description information is screened out, thereby facilitating research and communication of the symptom description information by a technician, and also facilitating data analysis and mining of symptoms on the symptom description information.
    • 4. 发明专利
    • Human phenotypic standard term determination method, and related device
    • AU2020441876A1
    • 2022-01-06
    • AU2020441876
    • 2020-11-06
    • BGI GENOMICS CO LTDBGI HEALTH HK COMPANY LTD
    • ZHOU JIANKONG LINGXIANGYANG JIAOBOHE ZENGQUANWANG JIN'AN
    • G06F40/117
    • A human phenotypic standard term determination method, and a related device. The method comprises: obtaining symptom description information (S100); performing query matching on word segmentation groups corresponding to various human phenotypic standard terms in a pre-set human phenotypic standard term library and the symptom description information, and determining the degree of matching between each human phenotypic standard term and the symptom description information (S200), wherein the word segmentation group comprises at least one segmented word list obtained by means of performing, according to a pre-set word segmentation rule, word segmentation on human phenotypic standard terms corresponding to the word segmentation group, and the segmented word list comprises at least one segmented word; and determining a human phenotypic standard term, the degree of matching of which meets a pre-set matching success condition (S300). According to the method, query matching is performed on symptom description information and word segmentation groups corresponding to various human phenotypic standard terms, and a human phenotypic standard term conforming to the symptom description information is screened out, thereby facilitating research and communication of the symptom description information by a technician, and also facilitating data analysis and mining of symptoms on the symptom description information.
    • 6. 发明专利
    • Shared memory based gene analysis method, apparatus and computer device
    • IL289071D0
    • 2022-02-01
    • IL28907121
    • 2021-12-16
    • BGI GENOMICS CO LTDBGI HEALTH HK COMPANY LTD
    • C12N15/10
    • Asharedmemory based gene analysismethod, apparatus and computer device. The method comprises: reading sample data and preprocessing the sample data; performing a gene analysis on the sample data preprocessed, and determining whether a required library file in the gene analysis is in a gene shared memory; if yes, obtaining the required library file from the gene shared memory, mapping the required library file to a process of the gene analysis of the sample data preprocessed, and completing a corresponding analysis. In this method, a shared memory mechanism is adopted to establish indexes for the gene analysis. Whether a library file that are frequently used in the gene analysis process are in the gene shared memory is determined; if yes, the library file can be obtained from the gene shared memory and can be mapped to the sample data, and can be convenientlymapped from the gene sharedmemory to an analysis process performed on the sample data. The method can greatly reduce the time and I/O occupation for loading the library file from a hard disk. Therefore, the efficiency of analysis can be improved. -57- IEE210846PAU
    • 7. 发明专利
    • Method for processing gene sequencing data and apparatus for processing gene sequencing data
    • AU2020450960A1
    • 2022-05-12
    • AU2020450960
    • 2020-11-06
    • BGI GENOMICS CO LTDBGI HEALTH HK COMPANY LTD
    • ZHANG YOUJINYU CHUANGKONG LINGXIANGHE HUIHE ZENGQUANJIN XIANGQIAN
    • G16B30/10
    • The embodiments of the disclosure provide a method for processing gene sequencing data. The method is applied to an apparatus for processing gene sequencing data. The apparatus includes an advanced RISC machine, ARM, architecture, a graphics processing unit, GPU, architecture, and a peripheral component interconnect, PCI, bus; the ARM architecture includes at least one central processing unit, CPU, module; the GPU architecture includes at least one GPU module. The method includes: obtaining, by a CPU module in an idle state, batches of gene sequencing data by reading gene sequencing data in batches; obtaining, by the CPU module in the idle state, a first algorithm and a second algorithm by dividing a gene analyzing method; obtaining, by the CPU module in the idle state, a plurality of reads by dividing each batch of gene sequencing data based on the first algorithm, and sending the plurality of reads and the second algorithm to a GPU module in an idle state; performing, by the GPU module in the idle state, a calculation on each read based on the second algorithm, and sending respective calculation results to the CPU module in the idle state; and obtaining, by the CPU module in the idle state, a batch processing result based on the calculation results and the first algorithm. This method divides the analyzing method to run parts of the method on the CPU module and the GPU module, which greatly improves data analyzing efficiency.
    • 10. 发明专利
    • Gene sequencing data processing method and gene sequencing data processing device
    • IL288594D0
    • 2022-02-01
    • IL28859421
    • 2021-12-01
    • BGI GENOMICS CO LTDBGI HEALTH HK COMPANY LTD
    • G06F17/14
    • The embodiments of the disclosure provide a method for processing gene sequencing data. The method is applied to an apparatus for processing gene sequencing data. The apparatus includes an advanced RISC machine, ARM, architecture, a graphics processing unit, GPU, architecture, and a peripheral component interconnect, PCI, bus; the ARM architecture includes at least one central processing unit, CPU, module; the GPU architecture includes at least one GPU module. The method includes: obtaining, by a CPU module in an idle state, batches of gene sequencing data by reading gene sequencing data in batches; obtaining, by the CPU module in the idle state, a first algorithm and a second algorithm by dividing a gene analyzing method; obtaining, by the CPU module in the idle state, a plurality of reads by dividing each batch of gene sequencing data based on the first algorithm, and sending the plurality of reads and the second algorithm to a GPU module in an idle state; performing, by the GPU module in the idle state, a calculation on each read based on the second algorithm, and sending respective calculation results to the CPU module in the idle state; and obtaining, by the CPU module in the idle state, a batch processing result based on the calculation results and the first algorithm. This method divides the analyzing method to run parts of the method on the CPU module and the GPU module, which greatly improves data analyzing efficiency.