9 results about "Processed Genes" patented technology

The embodiment of the invention provides a gene data processing method and system, electronic equipment and a storage medium, and belongs to the technical field of gene analysis. The method comprises the following steps: obtaining genotype data of a to-be-detected individual, and determining a plurality of associated genes of the to-be-detected individual according to the genotype data and single nucleotide polymorphism data associated with a target risk task; querying associated gene features corresponding to each associated gene in a pre-constructed gene feature library, wherein the gene feature library comprises embedding representations of different genes constructed based on an embedding model; the embedded model is obtained by performing self-supervised learning on a plurality of gene expression profiles of the same species as the individual to be detected; carrying out feature integration on the plurality of associated gene features to obtain individual features; and calling a prediction model to process the individual features to obtain a risk score of the to-be-detected individual corresponding to the target risk task. The method can improve the accuracy of gene data processing.

The invention discloses a copy number variation detection method, device and equipment based on low-depth whole genome sequencing and a storage medium, and relates to the technical field of medical data processing, the method comprises the following steps: performing sequencing quality control on sample gene data to obtain filtered gene data; performing data preprocessing on the filtered gene data through a dynamic negative reference library and a reference genome to obtain processed gene data and a dynamic Z test result; the dynamic negative reference library is determined according to the GC content of the contrast negative sample set; and performing improved copy number variation detection according to the processed gene data and the dynamic Z test result to obtain a copy number variation detection result. According to the method, sequencing quality control is carried out firstly, and data quality is guaranteed; and then data preprocessing is performed based on a dynamic negative reference library constructed in real time, and finally CNV detection is performed based on optimized processing gene data and a dynamic Z test result, so that systematic deviation is effectively reduced, and the detection reliability is improved.

The present invention provides polynucleotide vectors for high expression of heterologous genes. Some vectors further comprise novel elements that further improve expression. The gene transfer systems can be used in methods, for example, gene expression, bioprocessing, gene therapy, insertional mutagenesis, or gene discovery.

The present invention discloses a gene detection device, which relates to the field of gene detection and includes a safety cabinet, an air flow control system, a first processing module for processing amplification reagents and PCR plates, a second processing module for processing reagents, pipette tips and gene samples, a sample addition module for adding amplification reagents into the micro-wells of the PCR plate, a purification processing module for processing gene samples, an amplification and detection module for gene amplification and detection, a heat sealer for sealing the PCR plate, a logistics transportation module A, a logistics transportation module B and a logistics transportation module C; through the gene detection device of the present invention, automated, pollution-free and high-efficiency gene detection is achieved. At the same time, during the detection process, only a small part involves manual operation, and the manual operation intensity is low.

The present invention provides polynucleotide vectors for high expression of heterologous genes. Some vectors further comprise novel transposons and transposases that further improve expression. Further disclosed are vectors that can be used in a gene transfer system for stably introducing nucleic acids into the DNA of a cell. The gene transfer systems can be used in methods, for example, gene expression, bioprocessing, gene therapy, insertional mutagenesis, or gene discovery.

An embodiment of the present application discloses a method for processing gene expression data and related devices. The method includes: after obtaining a large number of signal pathways, a large amount of gene expression data, and their annotation information under a target disease, a classification model to be used can be constructed first by using these signal pathways, this gene expression data, and their annotation information under the target disease, so that the classification model to be used has good classification performance under the target disease; then, based on the classification model to be used and these signal pathways, information analysis and processing are performed on these gene expression data to obtain an information analysis result of these gene expression data under the target disease, so that the information analysis result can accurately represent biological information related to the target disease. In this way, it is possible to mine biological information related to the target disease from a large amount of gene expression data, and thus it is possible to perform biological information analysis on a large amount of gene expression data.

The application discloses a multi-scale space transcriptome domain identification method based on a block wavelet graph, and comprises the following steps: acquiring original gene data of a space transcriptome; pre-processing the original gene data to obtain processed gene data; performing multi-scale feature extraction on the processed gene data to obtain feature data information; training a block-level model by using the feature data information to obtain a trained block-level model; outputting a block reasoning result by using the trained block-level model, and performing clustering analysis after global recombination of the block reasoning result to obtain a space domain division result. The application can accurately capture cross-scale biological signals, break through hardware limitations, and realize efficient and accurate space domain identification of super-large-scale µST data.

The present invention provides polynucleotide vectors for high expression of heterologous genes. Some vectors further comprise novel transposons and transposases that further improve expression. Further disclosed are vectors that can be used in a gene transfer system for stably introducing nucleic acids into the DNA of a cell. The gene transfer systems can be used in methods, for example, gene expression, bioprocessing, gene therapy, insertional mutagenesis, or gene discovery.

The present application relates to the technical field of biological information, and discloses a method for mining excellent genes of sorghum. The method for mining excellent genes of sorghum comprises the following steps: determining quality traits required for breeding sorghum varieties according to literature or experience, and selecting sorghum varieties with and without the required quality traits; obtaining gene expression of a transcriptome of the sorghum varieties through sequencing; pre-processing gene expression data of the transcriptome, and selecting features of the pre-processed data by using a genetic algorithm for each quality trait; and selecting all trait excellent gene sets as a set of excellent genes of sorghum, thereby providing a set of candidate excellent genes for sorghum breeding.