[HE ZENGQUAN, WANG JIN'AN, YU CHUANG, ZHANG YOUJIN, SONG CHAO, YANG JIAOBO] CN;CN A shared memory based gene analysis method, 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 the gene 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 conveniently mapped from the gene shared memory to an analysis process performed on the sample data. The method can greatly reduce the time and I/O occupation for loading the library

[YANG JIAOBO, SONG CHAO, YU CHUANG, ZHANG YOUJIN, HE ZENGQUAN, WANG JIN’AN] CN;CN Asharedmemory based gene analysis method, 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.

[ZHOU JIAN, KONG LINGXIANG, WANG JINAN, HE ZENGQUAN] CN;CN Abstract The present application discloses a method and device for determining a degree of gene association. Through determining record data of target association record(s) of a disease description entry and a plurality of genes in each preset association database, inputting the record data into a preset entry-gene association matrix, and determining an association score of the disease description entry with respective to each of the plurality of genes in the preset association database, the degrees of association between the disease description entry and the plurality of genes can be rapidly obtained. IEE210847PAU

[YE YIN, MEIFANG TANG, HAO ZENG, TIANXUN HUANG, MAN SUO, DONG ZHANG, XING LIU, WURONG CHEN, NING LI, WENQI LI, SUJIE CAO] CN;CN;;;;;;;;;;;

[YE YIN, MEIFANG TANG, HAO ZENG, TIANXUN HUANG, MAN SUO, DONG ZHANG, XING LIU, WURONG CHEN, NING LI, WENQI LI, SUJIE CAO] CN;CN;;;;;;;;;;;

CN;CN

[YE YIN, MEIFANG TANG, HAO ZENG, TIANXUN HUANG, MAN SUO, DONG ZHANG, XING LIU, WURONG CHEN, NING LI, WENQI LI, SUJIE CAO] CN;CN;;;;;;;;;;;

[YOUJIN ZHANG, CHUANG YU, LINGXIANG KONG, HUI HE, ZENGQUAN HE, XIANGQIAN JIN] CN;CN 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. 23 FSIOE1216202PAU

[YANG JIAOBO, SONG CHAO, YU CHUANG, ZHANG YOUJIN, HE ZENGQUAN, WANG JIN’AN] CN;CN 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

[ZHANG YOUJIN, YU CHUANG, KONG LINGXIANG, HE HUI, HE ZENGQUAN, JIN XIANGQIAN] CN;CN 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.