32 results about "Dna genetics" patented technology

A patient is diagnosed and a regimen of treatment is prescribed in a system which tests the patients, receives test results from a patient, including DNA test results. A database of human genome data correlating human health disorder with DNA genetic tests is accessed. A database of environmental factors which correlate known human health disorders with environmental conditions is accessed. Risk factors including genetic risk and environmental risk are developed, and from these, a composite risk factor is developed. This is used to access a database of prescribed drug therapy.

The present invention provides a method for designing DNA code consisting of a set of information codes as an information carrier to write optional information into an optional noncoding region not including any DNA genetic information which can avoid an error occurring when the designed DNA is used. A set S1 of the base sequences corresponding to a signal unit for information transmission is obtained as follows: 1) selecting a template such that its Hamming distance of templates, against its block shift, and against the ligated sequences are equal to or above the predetermined value, when DNA sequence of predetermined length is specified by the binary string of 0 and 1 (template), meaning that the position of G or C ([GC]), or A or T ([AT]) are fixed, 2) further selecting a template having a subword constraint of length m from the set of the selected templates, and 3) combining thus selected template and codewords of the predetermined error-correcting codes having a subword constraint of length m.

The invention discloses application of demethylation modification of targeted mRNA by using PspCas13b in combination with m6A demethylase Alkbh5. A study shows that a PspCas13b-Alkbh5 fusion protein can perform demethylation modification by targeting target gene (such as CYB5A and CTNNB1) mRNA through the specific gRNA to further regulate the target gene expression. m6A RNA immunoprecipitation assays and m6A site quantitative PCR results show that the PspCas13b-Alkbh5 fusion protein can effectively reduce the m6A methylation level of the target gene mRNA in the cell, and no off-target phenomenon is found. The PspCas13b is used as a means and combined with the m6A demethylase Alkbh5 to achieve the demethylation modification of the targeted mRNA for the first time and regulate the expressionof the specific purpose and application accordingly. The method breaks through the previous specific protein expression regulation based on previous change of DNA genetic information, provides a newpotential treatment mode and strategy for treatment of various diseases in the future, and has a good application prospect.

The invention relates to a method for producing sea rice noodles by utilizing inert gas shielding and ultraviolet radiation. The method is characterized by comprising the following steps that: sea rice is taken as a raw material, and a product is obtained by performing impurity removing, soaking, curing, infrared vacuum freeze-drying, roller ball-milling and smashing, mixing, nitrogen-assisted stirring, ultraviolet radiation sterilization, and packaging and storing through the inert gas shielding. By utilizing the stable chemical property of nitrogen, and assistance of the roller ball-millingand smashing on the rice, the particle uniformity is improved, the particle size range is 10-150 mum, and nutrients and functional component loss are reduced at the same time. The rice is subjected toinfrared vacuum freeze-drying, energy consumption is reduced, and drying time is shortened. By utilizing the characteristics of damaging microbial cell membranes and DNA genetic materials of ultraviolet radiation, microorganisms are sterilized effectively without chemical residues, and bacteria is reduced by 3-4 logarithmic units. By utilizing the efficient stability of mixed inert gas, oxidationloss of the nutrition components is avoided, and meanwhile, a product is good in mouthfeel, antioxidation is increased, and the balance of nutrition is reinforced.

The invention discloses a modeling method for a catalytic cracking main fractionator with a varying-population-size DNA genetic algorithm, comprising the following steps: 1) that input and output data of the catalytic cracking main fractionator are collected as modeling data through on-site operation or experimental sampling; 2) that the modeling data are used to train a support vector machine, and a mean square deviation collected by cross validation is taken as an objective function; 3) that operational parameters of the DNA genetic algorithm are set; and 4) that the varying-population-size DNA genetic algorithm is operated to optimize the parameters of the support machine, wherein collected optimization parameters of the support vector machine are used for training the support vector machine and further collecting a nonparametric model of the catalytic cracking main fractionator. The method of the invention combines the varying-population-size DNA genetic algorithm with the support vector machine, and at the same time introduces a mutation operator enlightened by flora drug resistance into the nonparametric modeling of the catalytic cracking main fractionator, thereby effectively increasing modeling precision of the support vector machine.

The invention discloses a complex chemical process modeling method of a DNA genetic algorithm based on a swarm behavior. The method includes the following steps of firstly, obtaining input sampling data and output sampling data in the chemical process through experiments, and using the sum of an error absolute value of estimated output of a model and an error absolute value of practical sampling output in the chemical process as a fitness function aiming at the input sampling data in the same chemical process; secondly, setting control parameters of the algorithm; thirdly, conducting estimation on unknown parameters in a chemical process model by running the algorithm, obtaining estimated values of the unknown parameters in the model through a minimum objective function value, putting the estimated values of the unknown parameters in the model into the chemical process model, and obtaining an optimal chemical process model. According to the complex chemical process modeling method of the DNA genetic algorithm based on the swarm behavior, by the adopting of the DNA genetic algorithm based on a swarm honey gathering behavior and a swarm breeding behavior, the established chemical process model is made to have high fitting precision, and has the advantages of being high in convergence rate and rich in population diversity.

The invention provides a network safety detection method and device and an electronic device, and relates to the technical field of safety detection. The method comprises the steps of: acquiring network data of a target network; using a DNA genetic algorithm to select a cluster center point of the network data to obtain a plurality of target cluster centroids; performing cluster classification ofthe network data by taking the target cluster centroids as a plurality of cluster centers to obtain a plurality of cluster groups; and based on the cluster groups, determining the safety of the network data. The good global search performance and the coding performance of the DNA genetic algorithm are employed to optimize the selection of the cluster centers and improve the classification capacityof transmission data in the wireless public network of the distribution network so as to improve the safety detection capacity and the detection efficiency of the wireless public network of the distribution network and improve the network safety of the distribution public network.

The invention discloses a frequency domain weighted multi-modulus method for optimizing DNA sequence of novel varied DNA genetic artificial fish swarm. Aiming at the defects of low convergence rate and high residual mean square error caused by mismatching of error function with a signal constellation model during balancing a high-order multi-modulus QAM signal by a multi-modulus blind equalization method (MMA), a frequency domain weighted multi-modulus method (nmDNAG-AFS-DNA-FWMMA) for optimizing DNA sequence of novel varied DNA genetic artificial fish swarm is developed. The advantages of fast convergence rate and high global searching ability of the optimization method for the novel varied DNA genetic artificial fish swarm is utilized by the method, the DNA optimal sequence is searched through a DNA constraint model and cost function, the sequence serves as an initial optimal weight vector of the frequency domain weighted multi-modulus method (FWMMA) after encoding, so that the convergence rate is increased, and the residual mean square error is reduced. The embodiment shows that the nmDNAG-AFS-DNA-FWMMA is high in convergence rate and low in mean square error.

The invention belongs to the technical field of forensic medicine, and particularly relates to a method for designing primers for compositely detecting multiple microRNAs (Micro Ribonucleic Acids), aiming at the technical problem of determining the tissue source of a body fluid blackspot by detecting microRNAs. According to the technical scheme, the primers for detecting the microRNAs include a specific reverse transcription primer REP, a forward primer PF and a reverse primer PR, wherein the specific reverse transcription primer REP sequentially comprises joint sequences ADP and P1 from a 5' terminal to a 3' terminal; the ADP sequentially includes a special sequence NHS and a TTTTC sequence of a nonhuman genome from the 5' end to the 3' end; the P1 refers to 6-8 basic groups which are complementary with the 3' terminal of an miRNA marker to be detected. The primers disclosed by the invention can be used for establishing the co-platform detection of miRNA and forensic medicine DNA genetic markers, can be used for compositely amplifying a plurality of miRNAs, can obtain more tissue source information from common forensic medicine trace detection material and has outstanding application value in the field of forensic genetics.

The invention discloses a heavy oil pyrolysis process modeling method based on a chaotic DNA genetic algorithm. In the invention, the DNA genetic algorithm and chaotic optimization calculating are fused; chaotic optimization calculating is performed on an individual with poor performance in the framework of the DNA genetic algorithm; the characteristic that the global search capability of the DNAgenetic algorithm is high is reserved and simultaneously the weakness that a local search capability is poor is improved; and the method has a good application and development prospect. The DNA genetic algorithm is applied to the parameter estimation of the reaction kinetic model of a heavy oil pyrolysis process. A result shows that a heavy oil pyrolysis process model can well reflect the nonlinear characteristic of an actual system.

The invention specifically relates to a screening method and application of microalgae mutant strains of high growth rates, especially to a method for screening rapid growth mutants of microalgae via a combination of population DNA genetic mapping technology AFLP and flow cytometry, belonging to the field of biotechnology. The method provided by the invention is rapid in screening and reliable in results.

The invention discloses an electric power system multi-target reactive power optimization method based on a DNA fuzzy genetic algorithm, and relates to the electric power system multi-target reactivepower optimization technical field; the electric power system multi-target reactive power optimization method based on the DNA fuzzy genetic algorithm can code the control variables of the system in aDNA chain form, and can carry out genetic operations for individuals of population on said basis; the method combines the fuzzy control theory with the DNA genetic algorithm, can adjust the intersecting rate, the variation rate and inversion operation rate online according to the evolution condition of the algorithm, thus effectively improving the algorithm convergence speed and calculation precision; compared with a normal genetic algorithm, the DNA fuzzy genetic algorithm is faster in convergence speed, higher in calculation speed and stronger in population diversity when carrying out multi-target reactive power optimization, thus providing very well applicability for high dimension, multi-constraint and non-linear complex reality problems, such as electric power system reactive power optimization.

The invention is suitable for the technical field of artificial intelligence and intelligent optimization calculation, and provides a temperature sensor optimization arrangement method based on a DNA genetic algorithm, and the method comprises the steps: selecting point locations where temperature sensors may be arranged, and taking the energy consumption measurement precision and the energy consumption change sensitivity as optimization targets to establish a multi-target optimization function; establishing a multi-objective expected value model, carrying out random simulation solution, and combining the multi-objective optimization function to obtain a multi-objective optimization model; performing random simulation by using a DNA genetic algorithm, and calculating the multi-objective optimization model; acquiring target Pareto optimal solutions of the two optimization targets to acquire a set of optimal solutions by repeated calculation as an input set of a deep learning algorithm. A better solution is found through the deep learning algorithm.

The invention discloses an agrobacterium homologous recombination system. The agrobacterium homologous recombination system is composed of a series of agrobacterium homologous recombination system expression plasmids which are named as pBBR1-kan-Ptet-ETh1h2h3h4-agroB6 with the nucleotide sequence shown as SEQ ID No.1; pBBR1-kan-Ptet-ETH1h2h3P3-rhi597 with the nucleotide sequence shown as SEQ ID No. 2, pBBR1-kan-Ptet-ET-rhi145 with the nucleotide sequence shown as SEQ ID No. 3, and pBBR1-kan-Ptet-ETh-rhi483 with the nucleotide sequence shown as SEQ ID No. 4. The invention also discloses an application of the recombinant system in agrobacterium tumefaciens mediating homologous recombination of short homologous arms for genome DNA genetic modification and an application in agrobacterium tumefaciens gene knockout. The agrobacterium homologous recombination system can greatly promote genome modification of the agrobacterium, so that genetic modification of the agrobacterium becomes simple and rapid, and the agrobacterium homologous recombination system has huge application prospects in the aspect of constructing agrobacterium strains with high transformation efficiency and host range and in the field of plant genetic engineering.

The invention discloses an L-DNA simulate monitoring method of a long city tunnel, comprising the following steps of: judging the states of monitoring nodes according to the master-slave station marks of the monitoring nodes; when the states are the master station mode states, carrying out network polling to acquire the global information of the whole tunnel; executing the global control logic ofthe whole tunnel according to the global information, issuing a global control command to a network, executing local control logic; when the states are the slave station mode states, carrying out network monitoring to acquire the global information of the whole tunnel; executing the global control logic of the whole tunnel according to the global information; and executing the local control logicaccording to the global control command. In the method, each monitoring node has the global control logic and the global data field of the whole tunnel, just like an organism cell, each individual contains the whole DNA genetic information, and therefore, each monitoring node can become a master control node, thereby realizing the tunnel monitoring under the conditions of traffic operation or tunnel damage and the like and ensuring the personal security. The invention intercommunicates with controllers within the boundary range to carry out privileged class coefficient agreement arbitration, and therefrom, a controller exerting the function of a master controller is provided by the arbitration. Meanwhile, the invention discloses an L-DNA simulate monitoring system of the long city tunnel.

The invention discloses a funeral craftwork, a funeral method and special equipment containing DNA genetic information. The funeral craftwork comprises a carrier, a main body and at least one vessel.The funeral method containing DNA genetic information includes the following steps that A1, the carrier is taken out; A2, the main body made from human body ashes is placed in a first cavity; A3, anyone of the human body's hairs, teeth, fingernails and body fluid is placed in the vessel;A4, the vessel is filled with liquid nitrogen;A5, the vessel is sealed;A6, the vessel is placed in the first cavity arranged in the carrier; and A7, the carrier is sealed. The special equipment comprises a liquid nitrogen storage tank, a first pipeline, a liquid nitrogen pump, a control valve and a liquid outlet. The funeral craftwork has the advantages of being simple in structure, convenient to use, convenient to carry, attractive, compact in size, simple in craftsmanship, and simple in use method.