33 results about "Processed Genes" patented technology

The invention belongs to the technical field of production scheduling of flexible manufacturing systems, and particularly relates to a deadlock-free scheduling method for a flexible manufacturing system based on an improved genetic algorithm. The method comprises the following specific steps of: establishing a Petri net model of the flexible manufacturing system, determining genetic parameters, encoding and decoding, generating an initialized population, performing detecting and repairing, calculating processing time and fitness, judging whether a termination rule and genetic operation are metor not, and outputting an optimal individual; adjusting all chromosomes into control feasible chromosomes through a two-step forward looking method, and decoding the control feasible chromosomes intoa deadlock-free scheduling sequence; optimizing and improviing the genetic algorithm in the design process of the scheduling strategy. Meanwhile, in the variation process, the chromosome gene is divided into a path gene and a process gene, variation operation is conducted on the path gene and the process gene at the same time, the variation rates of the path gene and the process gene are the same, and therefore the operation steps are simple, the production efficiency is greatly improved, and the application environment is friendly.

The invention discloses a method and a device for processing gene sequence data. The method for processing the gene sequence data comprises the steps of: receiving a sequencing data of an initial gene sequence; building a de Brujin graph of the sequencing data; storing a first edge sequence in the de Brujin graph and each short sequence for forming the first edge sequence; obtaining depth information of each short sequence for forming the first edge sequence; calculating the depth information of the first edge sequence according to the depth information of each short sequence for forming the first edge sequence; and simplifying the de Brujin graph according to the depth information of each edge sequence in the de Brujin graph and each short sequence in the sequencing data, and cutting the simplified de Brujin graph to obtain a contig gene sequence of the sequencing data. By the method and device, the problem of biological information loss easily caused by the method for processing the gene sequence data in the prior art is solved, so as to achieve the effect of improving the assembling availability of the gene sequence.

The invention discloses a method and a system for finding a molecular marker based on transcriptome time sequence dynamic change and gene function association. The method comprises the steps of acquiring a target pathophysiological process and a dynamic time sequence transcriptome change which accords with the pathophysiological process through multi-time-sequence sampling and high-flux transcriptome sequencing technology on a sample; through gene function association analysis, evaluating an association strength between a different coexpression set and the target pathophysiological process gene set, thereby finding the robust reliable marker with pathophysiological meaning in omics data. According to the method, the internal association between time sequence association and omics indexes is sufficiently used; the marker finding process is supported and verified by different types of information, thereby realizing high robustness. Therefore relatively low requirement for data measuringprecision and method parameter optimizing requirement is realized. The personnel without abundant practice experience and analysis experience can effectively use the method and the system.

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 invention relates to the field of electric data processing, in particular to a gene expression data classifier. On the basis of a traditional multi-task deep learning processing method, a gene expression data classifier with an input layer, a first hidden layer, a second hidden layer and an output layer is designed. Particularly, a shared hiding unit is arranged on the first hidden layer and the second hidden layer, so that the classifier can process gene expression data which come from different data sets and have different identifiers. The problem that tissue samples are insufficient when the gene expression data are classified is effectively solved. Adverse effects caused by the introduction of high feature space dimensions are reduced.

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.

Apparatus and method for appropriately processing gene information in order to allow an easy estimation of haplotypes in large quantities of genome data. A list of genotypes at a plurality of gene loci in a plurality of individuals is displayed, using individual data and gene locus data. The individual data indicates gene loci of individuals and the genotype that exists at each gene locus. The gene locus data indicates a major allele and a minor allele at each gene locus. The individual genotypes are color-coded when they are displayed depending on whether they consist of homozygous major alleles, homozygous minor alleles, or heterozygous major and minor alleles at a particular gene locus.

The invention discloses a feature gene selecting and cancer classifying method which at least comprises the following steps of establishing a logistic regression model according to a super-parameter set and a to-be-processed gene data set; according to maximum likelihood estimation and logarithmic operation, expressing the logistic regression model as a loss function; establishing an SCAD-Net resolving model; according to the loss function and the SCAD-Net resolving model, obtaining an SNL model; calculating an iteration updating operator of the SCAD-Net; according to the iteration updating operator, calculating a gene regression coefficient of the SNL model through a coordinate gradient descent method; and according to the gene regression coefficient, performing feature gene selection andcancer classification. The feature gene selecting and cancer classifying method can effectively improve feature gene selecting and cancer classifying accuracy, thereby facilitating disease researching.

The invention belongs to the traditional Chinese pharmacology field, and concretely relates to a method for constructing the pharmacological mechanism of a Jinlong capsule through a biological and genetic engineering process. The method analyzes the system biology of a processed gene chip result and constructs the pharmacological mechanism of the Jinlong capsule by utilizing a Thomson Reuters Genego database through the hybridization, detection and analysis of the gene chip via omics and the system biology process. The invention also discloses a use of the Jinlong capsule as a brain tumor resistance medicine and in chemotherapeutic drug tolerance activity reversion. And the pharmacological mechanism of the Jinlong capsule as the brain tumor resistance medicine and in the chemotherapeutic drug tolerance activity reversion is constructed through the method.

The present invention discloses a gene sequence reading method and reading system. The method comprises: determining a suitable error correction algorithm according to relevant information of an original gene sequence, and performing error correction on the original gene sequence by using the error correction algorithm, to obtain a to-be-processed gene sequence; blocking the to-be-processed gene sequence according to a preset process quantity and a total size of the to-be-processed gene sequence, to obtain multiple blocked gene sequences; and concurrently reading the blocked gene sequence. By applying the technical scheme of the present invention, memory consumption of a stand-alone machine can be reduced, and efficiency and accuracy of reading the gene sequence are greatly improved.

The embodiment of the invention provides a gene detection method, a feature extraction method, a device, equipment and a system. The gene detection method comprises the following steps: acquiring a to-be-processed gene sequence, wherein the average number of gene segments corresponding to each position in the gene sequence is smaller than or equal to a preset threshold value; performing feature extraction operation on the gene sequence to obtain gene features; enhancing the gene features to obtain enhanced features corresponding to the gene features; and detecting the gene sequence based on the enhanced features to obtain a detection result. According to the technical scheme provided by the embodiment of the invention, the gene sequence is subjected to feature extraction operation to obtain the gene feature, then the gene feature is subjected to enhancement processing to obtain the enhanced feature, and then the gene sequence is detected based on the enhanced feature to obtain the detection result, so the accuracy of gene detection operation is ensured, and the data processing cost and the data processing amount are effectively reduced.

One disclosed method of processing gene sequence data includes the steps of reading gene sequence data corresponding to a gene sequence and coding sequence data corresponding to a plurality of coding sequences within the gene sequence; identifying and storing, by following a set of primer selection rules, primer pair data within the gene sequence data for one of the coding sequences; repeating the acts of identifying and storing such that primer pair data are obtained for each sequence of the plurality of coding sequences; and simultaneously amplifying the plurality of coding sequences in gene sequences from three or more of individuals using the identified pairs of primer sequences. The set of primer selection rules include a rule specifying that all of the primer pair data for the plurality of coding sequences be obtained for a predetermined annealing temperature, which allows for the subsequent simultaneous amplification of sequences from hundreds of individuals in a single amplification run.

The invention provides a method and a system for generating summary data of a biological gene sequence. The method comprises the following steps: acquiring a to-be-processed gene sequence; carrying out K-mer decomposition on a to-be-processed gene sequence by utilizing a sliding window, comparing M K-mers with K-mers of corresponding M reverse complementary chains, selecting K-mers with smaller character values for each pair of forward and reverse K-mers to finally obtain M K-mers, and then carrying out vectorization transposition operation; inputting the vectors obtained by the transposition operation into a Hash function improved based on single instruction multiple data stream (SIMD) to obtain Hash values corresponding to the vectors; continuously sliding the window to obtain a new sub-sequence K-mer, repeating the operation until all K-mer of the to-be-processed gene sequence calculate corresponding hash values, and constructing a hash value list of the to-be-processed gene sequence according to all the hash values; and generating summary data of the gene sequence to be processed according to the hash value list. According to the method and system, a vectorization implementation mode is adopted, the calculation speed is higher, and the biological gene sequence can be processed more efficiently.

This invention provides a specific nucleotide O-antigen for Escherichia coli 078, a complete sequence of nucleotide which controls the synthesis of O-antigen, e.g. as show in the SEQ ID NO: 1 the nucleic acid for separation has 12655 alkali bases, or compromising one or several insert, lost, or substitutes alkali bases, while keeping the function of the nucleic acid; It also compromises oligonucleotide which processing gene in the single-surge unit of O-antigen gene group form Escherichia coli; this invention proves that the oligonucleotide has a high specific function on Escherichia coli 078 by PCR, and discloses a method of identifying and detecting Escherichia coli by the oligonucleotide.

The embodiment of the invention provides a gene detection method, a model training method, a device, equipment and a system. The gene detection method comprises the following steps: acquiring to-be-processed gene data, wherein the average number of gene segments corresponding to each position in the to-be-processed gene data is smaller than or equal to a preset threshold value; inputting the to-be-processed gene data into a feature generation network layer for feature extraction operation to obtain gene features corresponding to the to-be-processed gene data and enhanced features corresponding to the gene features; and inputting the to-be-processed gene data and the enhanced features into a gene identification network layer for gene detection operation to obtain a detection result. According to the technical scheme provided by the embodiment, feature extraction operation is carried out through low-depth gene data, the gene features and the enhanced features corresponding to the gene features are obtained, and detection operation is carried out based on the enhanced features, so the accuracy of a gene detection result is ensured, and the data processing cost and the data processing amount are also reduced.

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.

Apparatus and method for appropriately processing gene information in order to allow an easy estimation of haplotypes in large quantities of genome data. A list of genotypes at a plurality of gene loci in a plurality of individuals is displayed, using individual data and gene locus data. The individual data indicates gene loci of individuals and the genotype that exists at each gene locus. The gene locus data indicates a major allele and a minor allele at each gene locus. The individual genotypes are color-coded when they are displayed depending on whether they consist of homozygous major alleles, homozygous minor alleles, or heterozygous major and minor alleles at a particular gene locus.

A method of processing single cell gene expression (revealing gene-gene correlation) by applying a noise regularization process to reduce gene-gene correlation artifacts. The computer-implemented method of the present invention comprises the steps of processing gene expression data for normalization or interpolation, applying a noise regularization process to the normalized or interpolated gene expression data, and applying a gene-gene correlation calculation process to obtain related gene pairs. And adding random noise according to the expression value of the cell gene in the expression matrix to obtain a noise regularization expression matrix.

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 invention relates to a gene data processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring gene data to be processed; extracting the to-be-processed gene data to obtain information of a homozygous mutation site of the to-be-processed gene data; obtaining a preset screening condition, and screening suspected pollution sites in the to-be-processed gene data according to the screening condition and the information of the homozygous mutation sites; and calculating the pollution rate of the to-be-processed gene data according to the suspected pollution sites. By adopting the method, the pollution rate can be accurately calculated, and the reliability of detection results is improved.

This invention provides a specific nucleotide O-antigen for Escherichia coli 078, a complete sequence of nucleotide which controls the synthesis of O-antigen, e.g. as show in the SEQ ID NO: 1 the nucleic acid for separation has 12655 alkali bases, or compromising one or several insert, lost, or substitutes alkali bases, while keeping the function of the nucleic acid; It also compromises oligonucleotide which processing gene in the single-surge unit of O-antigen gene group form Escherichia coli; this invention proves that the oligonucleotide has a high specific function on Escherichia coli 078 by PCR, and discloses a method of identifying and detecting Escherichia coli by the oligonucleotide.

The invention relates to an isolated component analysis and linear discriminant analysis combined cancer forecasting method which particularly includes the following steps: (1) pre-processing gene micro-array data with the filtering technology, (2) converting the pre-processed gene micro-array data with the isolated component analysis technology to obtain an isolated component set, (3) processing the isolated component set with the linear discriminant analysis technology, and projecting the gene micro-array data into low-dimensional space with the optimal separability, and (4) training a nearest neighbor classifier through the projected gene micro-array data to generate a classifier model. According to the isolated component analysis and linear discriminant analysis combined cancer forecasting method, the gene micro-array data are filtered and processed, implicit information of the gene micro-array data is mined through isolated component analysis, and the gene micro-array data are projected to the low-dimensional space with the optimal separability through linear discriminant analysis, the cancer forecasting accuracy is improved, and the cancer forecasting time is shortened.

The invention belongs to the traditional Chinese pharmacology field, and concretely relates to a method for constructing the pharmacological mechanism of a Jinlong capsule through a biological and genetic engineering process. The method analyzes the system biology of a processed gene chip result and constructs the pharmacological mechanism of the Jinlong capsule by utilizing a Thomson Reuters Genego database through the hybridization, detection and analysis of the gene chip via omics and the system biology process. The invention also discloses a use of the Jinlong capsule as a brain tumor resistance medicine and in chemotherapeutic drug tolerance activity reversion. And the pharmacological mechanism of the Jinlong capsule as the brain tumor resistance medicine and in the chemotherapeutic drug tolerance activity reversion is constructed through the method.

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 invention provides nucleoside triphosphate hydrolase as well as a purification method and application thereof, and belongs to the technical field of molecular biology. The nucleoside triphosphate hydrolase is GajB protein or GajB'protein, and the nucleoside triphosphate hydrolase is used for hydrolyzing nucleoside triphosphate in the presence of metal ions and DNA (deoxyribonucleic acid) at the same time; the amino acid sequence of the GajB protein is as shown in SEQ ID No. 1, and the amino acid sequence of the GajB'protein is as shown in SEQ ID No. 2; the metal ions are magnesium ions, manganese ions and calcium ions. The purity of the nucleoside triphosphate hydrolase is improved by connecting the identification tag to the amino terminal of the GajB protein or the GajB'protein and selecting a proper purification method. The nucleoside triphosphate hydrolase can be applied to the fields of DNA detection, DNA processing, gene editing, gene engineering and the like.

The invention provides a nucleotide specific to O-antigens of Escherichia coli O154, a full sequence of gene cluster in Escherichia coli O154, controlling O-antigen synthesis, such as the separated nucleotide shown in SEQ IN No.1, with a overall length of 13635 basic groups; or a nucleotide in SEQ IN No.1 having one or many inserted, deleted or substituted basic groups and simultaneously maintaining functions of the separated nucleotide; also including an oligonucleotide coming from glycosyltransferase gene and oligosaccharide unit-processing gene in the O-antigen gene cluster of Escherichia coli O154; by PCR, the invention verifies that oligonucleotide has specificity to all the O-antigens of Escherichia coli O154; the invention also discloses a method of using the oligonucleotide to detect and identify Escherichia coli O154 in the human body and environment.

The invention discloses a method and system for discovering molecular markers based on transcriptome temporal dynamic changes and gene function correlation. Through multi-chronological sampling of samples and high-throughput transcriptome sequencing technology, target pathophysiological processes and control pathophysiological processes can be obtained. The dynamic time-series transcriptome changes of the process; through gene function association analysis, the correlation strength between the differential co-expression set and the gene set of the target pathophysiological process is evaluated, so as to discover robust and reliable markers with pathophysiological significance in the omics data. The present invention makes full use of the time-series correlation and the internal correlation of omics indicators. The process of marker discovery is mutually supported and verified by different types of information, and the robustness is high. Therefore, the requirements for data measurement accuracy and method parameter optimization are relatively low, and there is no It can also be used effectively by personnel with rich experience in experiments and analysis.

The invention discloses a gene positioning method and device, computer equipment and a storage medium. The gene positioning method comprises the following steps: acquiring to-be-processed gene data, wherein the to-be-processed gene data comprises to-be-detected whole genome sequencing data and to-be-detected transcriptome data; carrying out low-frequency mononucleotide polymorphism screening on the whole to-be-detected genome sequencing data to obtain an initial gene list; performing gene co-expression network analysis on the initial gene list and the to-be-detected transcriptome data to obtain a linkage gene list; projecting the initial gene list and the linkage gene list into a gene regulation and control network to obtain a potential abnormal motif; obtaining a standard gene motif, andperforming topological similarity calculation on the standard gene motif and the potential abnormal motif to obtain a target abnormal gene. The gene positioning method provided by the invention can realize rapid and accurate positioning of abnormal genes.