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37 results about "Genome alignment" patented technology

Structural alignment (genomics) Structural alignment is a form of sequence alignment based on comparison of shape. These alignments attempt to establish equivalences between two or more polymer structures based on their shape and three-dimensional conformation. This process is usually applied to protein tertiary structures...

Genomic-data storage method and electronic device

The invention discloses a genomic-data storage method. The genomic-data storage method includes the steps that in the genome comparison process, gene-sequence comparison information is obtained, and gene-sequence statistical information is established; the gene-sequence comparison information is stored in a magnetic disk, and according to comparison positions of the gene-sequence comparison information in a genome, corresponding indexes are stored in a memory, wherein the indexes are storage positions of the gene-sequence comparison information in the magnetic disk; genome statistical information is classified, and first statistical information and second statistical information are obtained; the first statistical information is stored in the memory, wherein the first statistical information is statistical information with the access frequency higher than the preset frequency in the variation detection process; the second statistical information is stored in the magnetic disk, wherein the second statistical information is statistical information which cannot be stored in the memory and / or statistical information with the access frequency lower than the preset frequency in the variation detection process. The invention also discloses an electronic device with the genomic-data storage method.
Owner:UNITED ELECTRONICS

Excavation method for salt-tolerant gene of salix matsudana

The invention provides an excavation method for a salt-tolerant gene of salix matsudana. The method comprises the steps that salt-tolerant salix matsudana and salt-sensitive salix matsudana are crossbred to obtain an F1 population, the F1 population is divided into salt-tolerant and salt-sensitive filial generations, and through salt stress, root systems of the salt-tolerant and salt-sensitive filial generations are subjected to transcriptome sequencing to obtain differential expression gene sequences separately; based on the salt-tolerant filial generation, a high-density genetic map is established, salt tolerance QTLs positioning is conducted, a QTL section is obtained through calculation, the QTL section, the differential expression gene sequences and a salix matsudana whole genome arecompared, and through analysis, the salt-tolerant candidate gene is obtained; through salt stress, the relative expression of the salt-tolerant candidate gene of the salt-tolerant filial generation ismeasured, the salt-tolerant candidate gene is determined as a salt-tolerant re-selection gene, instantaneous conversion is conducted, a salt-tolerant physiological index of a salix matsudana seedlingis detected, and the salt-tolerant re-selection gene is determined as a salt-tolerant gene. According to the excavation method, the problem is solved that during traditional salt-tolerant salix matsudana breeding, the salt-tolerant gene cannot be accurately found out.
Owner:NANTONG UNIVERSITY

Chromosome abnormality detection method and device, computer equipment and storage medium

The invention relates to a chromosome abnormality detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a genome comparison result of a Y chromosome of a to-be-detected sample; for the AZF region, obtaining a detection result of the AZF region through a chromosome abnormality intelligent detection model according to a genome comparison result of the AZF region; for the non-AZF region, obtaining a detection result of the non-AZF region according to a genome comparison result of the non-AZF region through a preset copy number variation analysis algorithm; and generating a detection result of the Y chromosome according to the detection result of the AZF region and the detection result of the non-AZF region. According to the method, the chromosomes are detected and analyzed according to the whole genome comparison result, no additional experiment means is used, the detection efficiency of the chromosomes can be improved, and the detection cost is reduced; different regions of chromosomes are detected based on a machine learning model and a copy number variation analysis algorithm, so the coverage rate of detection and the accuracy of anomaly detection can be improved.
Owner:SUZHOU BASECARE MEDICAL DEVICE CO LTD

Automatic analysis method for fecal microorganism diversity

The invention relates to the field of microorganisms, and discloses an automatic analysis method for fecal microorganism diversity, which comprises the steps of original offline data filtration and quality control, host genome comparison, microorganism flora species annotation and comparison, microorganism flora metabolic potential analysis, microorganism diversity analysis, result statistics and output and the like. In the method, Python script connection is used in all the steps to achieve automatic analysis, so that tedious manual operation is reduced, various errors caused by the manual operation are reduced, and the abundance, metabolic pathways and other information of different microbial florae in a sample are analyzed while the Shannon diversity index and the Simpson diversity index are calculated, and the method is suitable for large-scale popularization and application. Therefore, diversity of fecal microorganisms can be understood more comprehensively, intermediate results generated in all steps can be output in the running process of the process, corresponding data can be subjected to statistical analysis and arrangement, and a corresponding chart is output to facilitate the browsing of a user; meanwhile, all process related information is recorded in a process running log, so that screening can be carried out conveniently when the process is in error.
Owner:天津奇云诺德生物医学有限公司
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