75 results about "Individual gene" patented technology

The present invention relates to the technical field of artificial intelligence for antenna array deployment, in particular to an intelligent arrangement method for array antenna elements and a clustering epigenetic optimization method. The intelligent arrangement method for array antenna elements comprises: performing encoding for a J_K array, and initializing an epigenetic algorithm so as to generate J+K genes. The present invention uses a clustering algorithm in machine learning to divide a population into sub-populations having different characteristics. Adaptive learning is performed on a portion of individuals in each type, and an epigenetics-based inheritance operation is performed on the basis of the fitness probability of population individuals. Then, minor random mutation operations are performed to generate a new sub-population. Algorithm hyperparameters such as population size and mutation probability participate in the evolution of individual genes, and adaptively change on the basis of evolutionary states. The invention solves the problems of low convergence speed and poor obtained results in optimization processes of current L-shaped array antenna system arrangement algorithms.

Embodiments are directed to a method for determining relationships between genes, phenotypes, and diseases that includes extracting a first set of biological data containing gene data, phenotype data, and disease data from a database, extracting a second set of biological data from a database, creating nodes on a network pertaining to each individual gene, phenotype, and disease data extracted from one of a database and documents, training multiple machine learning (ML) algorithms on a set of extracted data with matching empirical results, using at least one of the ML algorithms and the second set of biological data for determining relationships between the nodes, creating at least one of a gene-disease association score, gene-phenotype association score, and disease-phenotype association score for the relationships based on the relative association of the nodes, and displaying at least one of the association scores to a user.

The invention belongs to the technical field of molecular biotechnology and molecular markers, and particularly relates to an SNP (Single Nucleotide Polymorphism) site related to pig intramuscular fat content, a related molecular marker and application of the SNP site. The SNP site corresponds to the 151330919bp site of a No.6 chromosome of an international pig reference genome version 11.1, the polymorphism of a base of the site affects the intramuscular fat content of the pig, the related index of a TT genotype is greater than that of a pig individual with TG and GG genotypes, and the related index of the TG genotype is greater than that of a pig individual with GG genotype. According to the invention, a molecular breeding means is utilized to solve the problem of improving the character expression of the intramuscular fat content of the pig, and by optimizing the dominant alleles of the SNP, the frequency of the dominant alleles can be increased generation by generation, the intramuscular fat content of the pig can be improved, the pork quality can be improved, the genetic modification breeding of the pig can be accelerated, and the economic benefit of a pig farm can be improved.

The invention discloses a method for identifying fish genome structure variation based on a graph genome and application, and the method comprises the following steps: 1) respectively comparing fish individual genome data of different germplasm with a reference genome to determine variation information between each individual genome sequence and the reference genome; 2) constructing a graphical generic genome by using variation information; and 3) comparing the genome data of the fish individuals to be identified with the graphical generic genome to generate a genome structure variation data set of the fish individuals to be identified. The method can comprehensively and accurately identify fish genome structure variation, can identify specific structure variation, provides a scientific basis for fish genetic improvement, breeding and resource protection, and is suitable for popularization and application.

The invention discloses an SNP molecular marker for identifying the egg laying amount of female sturgeons and application of the SNP molecular marker, and belongs to the field of sturgeon genetic breeding and sturgeon molecular marker-assisted breeding. According to the specific scheme, the SNP molecular marker for identifying the egg laying amount of the female sturgeon is located at the 333bp position of a 17 beta-hsd2 gene nucleotide fragment, the polymorphic form of the SNP molecular marker is C / G, and the genotype of a base mutation site of the SNP molecular marker comprises CC, CG or GG. The female individuals with the genotype of GG belong to low-egg-laying-amount individuals, and the female individuals with the genotypes of CC and CG belong to high-egg-laying-amount individuals. The molecular marker provided by the invention can be used for early artificial breeding of female sturgeon egg laying quantity characters, and can be widely applied to various female sturgeon populations such as acipenser schrenckii, Huso dauricus, acipenser sibiricum and hybrid sturgeons, so that the breeding process of sturgeon varieties with high egg laying quantity is remarkably accelerated.

A method for designing a beam hopping pattern of a low-orbit satellite belongs to the field of low-orbit satellite communication, and comprises the following steps: dynamically clustering ground cells by using a hybrid clustering cell clustering algorithm according to the service requirements of the cells in a beam hopping scene, and enabling the cells in the same cluster to approach as much as possible on the basis of load balancing; dividing user satisfaction indexes into three levels to guide three dynamic operations; selecting an optimal individual to generate a progeny by using the overall user satisfaction of all cells in the whole beam hopping period; performing individual gene crossover by using the community user satisfaction of each cluster; performing individual gene variation by using the user satisfaction of a single cell; and fine tuning of beam power is carried out when each beam of the beam hopping pattern is served in the same time slot. According to the method, load balancing and geographic position compactness are comprehensively considered, the same-frequency interference is reduced, the resource utilization efficiency is improved, the calculation overhead is reduced, and the overall calculation efficiency is improved.

The invention belongs to the technical field of gene scoring, and discloses a polygene scoring algorithm for risk assessment of polygene complex diseases and an application platform, and the method achieves the personalized and precise risk assessment: compared with a conventional fixed scoring model, the system combines the genes, phenotypes and environmental factors of individuals, and improves the risk assessment accuracy. And realizing individualized disease risk assessment through dynamic weighting. The dynamic weighting mechanism of the scoring model allows the model to adjust the gene weight according to individual living habits, so that the evaluation accuracy is greatly improved. And cross-group applicability: the applicability of the model on different groups is optimized by adopting a transfer learning technology, so that the scoring system has cross-region and cross-racial adaptability. The applicability of the system is enhanced, and the system is not limited to a single crowd and can be popularized globally. And dynamic data updating and feedback: allowing the user to re-score after updating the life style and health data by the system, and providing real-time and dynamic health assessment for the user.

A computer-implemented method for automated planning deployment of radio communication devices in an environment includes providing a map of the environment including elementary areas representing genes of individuals of a population, defining a fitness function for calculating a fitness score, setting a seed population, calculating a fitness score for the seed population, applying at least one evolutionary step to the seed population to determine a next generation population, calculating a fitness score for the next generation population and comparing fitness scores of the next generation and seed populations. With a difference between the fitness scores of two subsequent populations greater than a threshold value indicative of termination condition, iterating evolutionary step of current population and fitness score comparison, otherwise determining locations in the environment for deployment of the radio communication devices at the elementary areas corresponding to the genes of the individuals having a predetermine value.

The invention discloses a dairy cow 40K medium-low density SNP chip based on targeted capture sequencing and application thereof. The invention provides a chip for detecting genotypes of dairy cows. The chip comprises a reagent for specifically detecting SNP (Single Nucleotide Polymorphism) sites; the SNP loci are 44373 SNP loci in a table 2; the position information of the 44373 SNP loci in the table 2 is determined by comparison based on a dairy cow genome reference sequence, and the dairy cow genome reference sequence is in the version of Bosula UMD3.1. Compared with the existing 30K, 126K and 150K chips, the 40K chip disclosed by the invention has consistent detection performance in the aspects of SNP (Single Nucleotide Polymorphism) detection rate, polymorphism detection, individual genotype detection rate, genetic evaluation accuracy and the like. The chip disclosed by the invention can be applied to cow whole genome selection and genetic defect identification, and has important significance on early breeding of replacement cows, cow core group establishment, seed selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

The invention discloses a dairy cow 10K low-density SNP (Single Nucleotide Polymorphism) chip based on targeted capture sequencing and application thereof. The invention provides a 10K low-density chip for detecting genotypes of dairy cows. Comprising 11352 SNP loci and 6 INDEL loci (mainly comprising three types of loci related to dairy cow importance characters, paternity test and genetic defect loci and loci selected from an existing commercial dairy cow genome chip) on a dairy cow genome. Compared with an existing high-density chip, the 10K low-density genome chip provided by the invention is low in detection cost, and compared with the existing high-density chip, the 10K chip provided by the invention is consistent in detection performance in the aspects of SNP (Single Nucleotide Polymorphism) detection rate, polymorphism detection, individual genotype detection rate, genetic evaluation accuracy and the like. The chip disclosed by the invention can be applied to cow whole genome selection and genetic defect identification, and has important significance on early breeding of replacement cows, establishment of cow core groups, seed selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

Disclosed herein is a custom platform called NSC-seq that can be used for cell lineage and cell division tracking in a temporal fashion but also with single-cell resolution. With simultaneous integration of single-cell transcriptomics with lineage barcoding and temporal recording information, NSC-seq facilitates the generation of multidimensional datasets for elucidating functional heterogeneity and clonal events in vivo. We apply this platform (i) to decipher lineage branching of mouse embryonic development, (ii) to record clonal dynamics of the adult intestinal epithelium, and (iii) to track clonal composition of the mouse intestinal tumors. In addition, we apply NSC-seq to assess a comprehensive gene expression phenotype for individual gene knockout at the single-cell level using existing whole-genome CRISPR knockout screening plasmid libraries. Overall, NSC-seq enables in vivo temporal recording of mammalian development and cancer at single-cell resolution.

The present invention discloses a method for predicting and simulating the genotypes of advanced generations of hybrid combinations of self-pollinated crops, comprising the following steps: constructing a parental genotype data set and screening effective marker loci; calculating the linkage disequilibrium coefficient between marker loci, constructing a genomic linkage map, and determining the recombination rate between loci; using a random simulation algorithm to construct a gamete formation model and generate the genotypes of F1 generation individuals; based on the genotypes of the F1 generation, randomly simulating the selfing process to generate genotype data from F2 to Fn generations; establishing a mapping relationship between genotypes and phenotypes using a machine learning model to predict the phenotypic traits of advanced-generation selfing lines; the method of the present invention takes into account chromosomal exchange and linkage disequilibrium, can accurately simulate the gene recombination and segregation phenomena of the hybrid offspring of self-pollinated crops, and combines the gradient boosting decision tree model to achieve high-precision phenotypic prediction, providing an efficient auxiliary tool for the breeding of self-pollinated crops, which can significantly shorten the breeding cycle and improve the breeding efficiency.

The present application relates to a kind of Scylla paramamosain gender-specific genomic sequences and genetic gender identification method, the gender-specific genomic sequence is as SEQ NO.1 and as SEQ NO.2 shown in sequence;Wherein, genetic gender is female individual genome simultaneously containing SEQ NO.1 and SEQ NO.2 sequence, genetic gender is male individual genome only containing SEQ NO.2 sequence.Simultaneously, the present application also uses the gender-specific sequence to develop the genetic gender identification method based on PCR technology.The present application can be used for the identification of Scylla paramamosain gender-specific large fragment and genetic gender rapid detection, with the advantages of strong specificity, high accuracy, simple operation, low cost etc., can be used for crab sex control breeding industry and gender determination and differentiation mechanism research etc., with wide application prospect.

The invention discloses a hybrid DNA evidence analysis method based on STR genotyping map, comprising: step 1: obtaining data feature information; step 2: fitting the feature information; step 3: determining whether the number of contributors K and the suspect's STR map are obtained, and setting mutually exclusive propositions; step 4: calculating the likelihood ratio LR under the parameter conditions corresponding to the maximum likelihood value, and sorting the genotype combinations; step 5: judging the supported propositions according to the LR; step 6: considering whether the contributor's relatives participate in the map; step 7: database retrieval, sorting the likelihood ratio to obtain candidate individuals, and repeating steps 3-4 to determine the screening individual; the method of the invention comprehensively considers various complex situations that may be involved in the case, provides individual genotype splitting and accurate likelihood ratio LR values ​​for diversified scenarios, objectively evaluates the reliability and scientificity of the LR value, and provides a detailed strategy for how to efficiently use the DNA database for suspect retrieval.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to a local chicken body type character, the SNP molecular marker is located on a chicken chromosome 4, the number of the SNP molecular marker is Chr475876885, and the genome version is GRCg6a; the nucleotide sequence of the SNP molecular marker is shown as SEQ ID NO.1, the SNP molecular marker is located at the 401bp of the nucleotide sequence of the SEQ ID NO.1 and has C / T polymorphism, and the genotype of the site of the polymorphism is that TT corresponds to a large-size individual, and the genotype of CC corresponds to a small-size individual. According to the SNP molecular marker related to the body type character of the local chicken, individuals are directly bred on the genome level, phenotypic information is not depended on, the selection efficiency can be remarkably improved for characters which are low in heritability and difficult to measure, and the breeding process can be accelerated.

The present invention belongs to the fields of molecular biotechnology and molecular marker technology, and specifically relates to an SNP locus related to the strength of the pig immune system, a related molecular marker and its application. The SNP locus corresponds to the 40,842,218 bp position on chromosome 7 of the international pig reference genome version 11.1. The polymorphism of the base at this locus affects the percentage content of CD4-CD8+CD3+ mononuclear T cells in pig blood routine. Among them, the relevant indicators of the GG genotype are greater than those of pig individuals with the AG and AA genotypes, and the relevant indicators of the AG genotype are greater than those of pig individuals with the AA genotype. The present invention solves the problem of improving pig immunity by means of molecular breeding. By optimizing the dominant allele of the above SNP, the frequency of the dominant allele can be increased generation by generation, the percentage content of conventional CD4-CD8+CD3+ mononuclear T cells in pigs can be increased, the genetic improvement and breeding of pigs can be accelerated, and the economic benefits of pig farms can be improved.

The application discloses a soybean plant height related InDel molecular marker and application thereof, relates to the technical field of biological molecule detection.The nucleotide sequence of the InDel molecular marker is shown as SEQ ID NO.4 or SEQ ID NO.5.The InDel molecular marker developed by the application can realize efficient, accurate and early identification of soybean plant height.The InDel molecular marker has stable polymorphism, high amplification efficiency of the matching specific primer, clear bands, good repeatability and clear typing.It is verified that the length difference of the amplification product is significantly related to the plant height phenotype, high-stalk and dwarf individuals can be accurately distinguished, and the genotype detection result is highly consistent with the field phenotype.The application provides a stable and reliable molecular tool for genetic improvement of soybean plant height and rapid cultivation of high-yield and lodging-resistant materials.

The invention belongs to the field of bioinformatics, and particularly relates to an individual genome simulation data generation method based on graph compression. The invention aims to solve the problem that the accuracy is low when the existing individual genome simulation data is used for predicting the curative effects of drugs on different individuals. The invention provides an individual genome simulation data generation method based on graph compression. The method comprises the following steps: S1, acquiring a historical genome data set; s2, preprocessing graph genome data in the historical genome data set to obtain preprocessed graph genome data; s3, calculating the connectivity of nodes in the preprocessed graph genome data, and performing forward compression processing on the preprocessed graph genome data according to the connectivity of the nodes to obtain forward compressed graph genome data; and S4, generating individual genome simulation data according to the forward compressed graph genome data. The problem that the accuracy is low when existing individual genome simulation data is used for predicting the curative effects of drugs on different individuals is solved.

The invention discloses an environmental catalyst formula screening method and system optimized by using a genetic algorithm. The method comprises the following steps: S1, taking a component proportion, an active component type, a carrier type and an additive type of an environmental catalyst as individual gene codes; s2, setting an initial population, wherein the initial population is composed of a plurality of randomly generated environmental catalyst formulas; s3, evaluating the fitness of each individual in the population by adopting an evaluation function; s4, selectively retaining individuals with excellent performance according to a fitness result; s5, performing crossover operation on the selected individuals, simulating gene recombination in the genetic process, and randomly selecting two individuals as male parents in the crossover process; and S6, performing mutation operation on the crossed offspring, and selecting the individual with the highest fitness from the final population as the optimal environment catalyst formula. The method has the advantages of interdisciplinary technology fusion, intelligent optimization screening process, high efficiency, low cost and wide application potential.

The present invention belongs to the field of bioinformatics, and in particular relates to a method for generating individual genome simulation data based on graph compression. The purpose of the present invention is to solve the problem of low accuracy of existing individual genome simulation data when used to predict the efficacy of drugs on different individuals. A method for generating individual genome simulation data based on graph compression is provided, comprising: S1: obtaining a historical genome dataset; S2: preprocessing the graph genome data in the historical genome dataset to obtain preprocessed graph genome data; S3: calculating the connectivity of the nodes in the preprocessed graph genome data, and performing forward compression processing on the preprocessed graph genome data according to the connectivity of the nodes to obtain forward compressed graph genome data; S4: generating individual genome simulation data based on the forward compressed graph genome data. This method solves the problem of low accuracy of existing individual genome simulation data when used to predict the efficacy of drugs on different individuals.

The application discloses an optimization method and system for photovoltaic access distribution network, and the method comprises the following steps: based on the photovoltaic construction, a certain number of populations are determined; through Newton-Raphson power flow calculation, the distribution network operation parameters corresponding to each gene individual are obtained; based on the distribution network operation parameters, a multi-objective function and a constraint condition, the gene individuals are screened; the screened gene individuals are iteratively calculated to obtain optimal offspring of each population; the optimal offspring is introduced into an elite population; if a set iteration end criterion is met, an optimal individual gene representative photovoltaic access scheme is obtained; otherwise, the above operation is performed again; based on the distribution network operation parameters and a pre-established multi-objective function and constraint condition, the gene individuals are screened, the defect of immature convergence is overcome, and the global optimization can be achieved in the photovoltaic access optimization process; the screened gene individuals are iteratively calculated to obtain optimal offspring of each population, and the local optimization is performed, so that the balanced global search and local search performance are achieved.

The embodiment of the invention provides a facial feature prediction method and device, equipment, a medium and a product. The method comprises the following steps: obtaining individual gene data, wherein the individual gene data comprises attribute information of M gene points; obtaining a first feature vector set of the individual gene data through a pre-constructed first graph network; the first graph network comprises a plurality of gene points and relationships among the gene points; inputting the first feature vector set of the individual gene data into a preset artificial neural network to obtain a second feature vector set; and inputting the second feature vector set into a trained facial feature prediction model, and after the second feature vector set is processed by the facial feature prediction model, outputting facial coordinate data corresponding to the individual gene data. The method is used for achieving the effect of predicting individual face coordinate data based on individual gene information.

The invention provides a molecular marker and a primer for identifying sex of Nibea dispinosa and application of the molecular marker and the primer, and belongs to fish molecular breeding and sex identification. Whole genome re-sequencing and whole genome association analysis are carried out on male and female individuals of the Nibea dispinosa, male specific DNA fragments are obtained through screening, and corresponding specific primers are designed. The primer is used for carrying out PCR (Polymerase Chain Reaction) amplification on individual genome DNA (Deoxyribose Nucleic Acid), a male individual is amplified to form specific double bands (174bp and 181bp), and a female individual is only amplified to form a single band (174bp), so that the rapid and accurate judgment on the genetic sex of the Nibea dispinosa is realized. The molecular marker and the primer provided by the invention are simple and convenient to operate and small in damage to a fish body, and can be used for early sex identification, sex control breeding and germplasm resource protection of the Nibea dispinosa.

The present invention concerns the field of cancer and methods for early detection of cancerous lesions. Specifically, the invention relates to a method for early detection of cancerous lesions through the analysis of microsatellite instability in the genome of an individual from a liquid biopsy.

The present application belongs to the technical field of molecular biology, and particularly relates to a gender identification molecular marker based on Y chromosome specific deletion of Micropterus salmoides, a primer pair and a gender identification method. The marker disclosed by the present application is a 147 bp deletion sequence (SEQ ID NO. 1) on the Y chromosome of male individuals, and has a complete genetic relationship with gender, wherein the XX genotype corresponds to female individuals, the XY genotype corresponds to male individuals, and the YY genotype corresponds to super-male individuals. Meanwhile, a primer pair for specifically amplifying the marker is provided. When detection is performed, only the genomic DNA of fin tissue of an individual to be detected needs to be extracted, PCR amplification is performed by using the primer pair, and the amplified bands are analyzed by agarose gel electrophoresis. Then, the genotype can be accurately determined according to the number of bands. The method has the remarkable advantages of simple operation, low cost and reliable results.

The invention discloses a global nutrient deep customization platform, and belongs to the field of health management. The platform mainly comprises a user terminal interface module used for collecting multi-dimensional original data of global users, including genes, real-time physiology, diet logs and culture preferences; the global nutrition knowledge base and rule engine module is used for storing and dynamically updating nutrition data and biological effect rules covering different race, regional laws and regulations and diet culture; an analysis engine is deeply customized, multi-objective optimization calculation is carried out on the fused deep health portrait of the user and a global knowledge base through artificial intelligence, and a comprehensive nutrition scheme which cooperatively considers individual genes, real-time states, long-term objectives and regional feasibility is generated; and the global supply chain docking and product customization module is used for converting the scheme into an entity nutrient product conforming to local regulations and completing distribution. According to the method, full-link deep customization from multi-source data deep fusion, globalized knowledge driving to cross-regional product accurate delivery is realized.

This invention relates to the field of gene editing technology, and more particularly to a method for constructing a zebrafish epilepsy model with htr6 gene deletion. Using CRISPANT technology, this invention designs suitable target sites on the htr6 gene in zebrafish, and co-injects specific sgRNA synthesized in vitro with Cas9 protein into zebrafish fertilized eggs via microinjection, successfully constructing a zebrafish epilepsy model. This invention can more efficiently and accurately silence specific genes in the genome of an organism, and is simple and low-cost to produce. It can also simultaneously cleave multiple sites on the target gene, silencing any number of individual genes. The zebrafish epilepsy model provided by this invention lays a solid foundation for further research on the relationship between htr6 gene mutations and the pathogenesis of epilepsy, as well as for screening antiepileptic drugs.

The invention belongs to the technical field of molecular biology, and particularly relates to a sex identification molecular marker based on micropterus salmoides Y chromosome specific deletion, a primer pair and a sex identification method. The marker disclosed by the invention is a 147bp deletion sequence (SEQ ID NO.1) on a Y chromosome of a male individual, and is in a complete linkage genetic relationship with sex, an XX genotype corresponds to a female individual, an XY genotype corresponds to a male individual, a YY genotype corresponds to a super-male individual, meanwhile, a primer pair for specifically amplifying the marker is provided, and the primer pair is used for detecting sex of the male individual. During detection, the genotype can be accurately judged according to the number of bands only by extracting the genome DNA of the fin ray tissue of an individual to be detected, performing PCR amplification by using the primer pair and analyzing amplified bands through agarose gel electrophoresis, and the method has the remarkable advantages of simplicity and convenience in operation, low cost and reliable result.

The present invention provides universal primers and a method for amplifying the whole mitochondrial genome of mites from the family Acaridae. This invention, for the first time, provides a set of universal primers for amplifying the whole mitochondrial genome of mites from the family Acaridae. By dividing the mitochondrial genome into six overlapping fragments, conventional PCR amplification, Sanger sequencing, and sequence splicing are performed to rapidly obtain the complete mitochondrial genome sequence of mites from the family Acaridae. This method requires relatively low instrumentation and analytical equipment, making it easy to implement. Furthermore, the entire mitochondrial genome sequence can be obtained from the total DNA of a single individual, avoiding interference from the genomic DNA of multiple individuals. This method has been validated in the amplification of the mitochondrial genomes of six species of mites from the family Acaridae. This method is of great significance for obtaining more complete mitochondrial sequences of mites from the family Acaridae, further inferring the phylogenetic relationships between the genera of the family Acaridae, and the phylogenetic relationships between the families of the family Acaridae. It also provides a reference for studying the evolution and phylogenetic relationships of the Acari.

The invention discloses a method and equipment for identifying HLA gene genetic variation based on NGS data and a storage medium. A sequence close to an individual HLA genotype sequence is obtained as a sample HLA gene reference sequence for accurate detection of an HLA SNP genotype, then detected SNP loci have comparability among individuals under a coordinate system through alignment, and the disease-susceptible HLA genetic SNP loci with high research and diagnosis values can be identified more accurately.