33 results about "Genetic model" patented technology

The invention discloses a restrictive two-stage genome-wide association study (GWAS) method based on an SNPLDB mark, and aims at solving the problems that a traditional method cannot be used for estimating multiple allele information, and is high in false positive rate and low in efficiency of detection on inbreeding crops. By combination of the SNPLDB mark constructed on the basis of a haplotype block, correction of deviation of an inbreeding population relation analysis model and a two-stage relation analysis strategy under a multi-site model, the GWAS method suitable for conventional breeding of inbreeding crops is built; the SNPLDB mark is applied to GWAS, so that a method is provided for multiple allele estimation; candidate sites are screened on the basis of a single-site model in the first stage, and are further screened on the basis of a progressive regression analysis method in the multi-site model in the second stage, so as to balance the problems of missing of heritability and over-high heritability estimation. Therefore, the interpretation ratio of a final genetic model is controlled at trait heritability. The positioning accuracy and efficiency are improved by a feature vector and an appropriate significant level of a similarity coefficient matrix estimated by the SNPLDB mark by GWAS.

The invention provides a biological information analysis method for human single-gene genetic disease detection. The method comprises the following steps: S1, screening mutation harmful sites; S2, screening the sample relationship of human single-gene genetic disease detection; S3, performing gene function screening. According to the method, harmful mutation sites can be quickly and clearly screened from human exon sequencing data; the annotation analysis on the detected SNP, InDel and other genomic variations and an external database is carried out to determine the genomic position, variationfrequency, protein harmfulness, genotype heterozygosity, functional pathways and other information of the variations; the candidate genes are screened by using an autosomal invisible genetic model, an autosomal dominant genetic model, new mutation screening and common mutation gene screening, so the candidate genes are determined, GO and KEGG enrichment analysis is performed on the candidate genes, and powerful evidences are provided for determining the candidate genes related to diseases.

The invention discloses a fuzz testing system on the basis of a multi-swarm collaboration evolution genetic algorithm, and belongs to the field of software safety tests. The fuzz testing system comprises a fuzz testing end and a test sample generating end. The fuzz testing end is responsible for inputting test samples into systems to be tested and repeatedly testing and observing the systems to be tested; the test sample generating end is used for generating the test samples and transmitting the test samples to the fuzz testing ends via networks, computes individual adaptability values by the aid of collected information according to coverage frequencies of basic blocks and trigger conditions of unsafe functions, combines the individual adaptability values with the types of the unsafe functions and enables the test samples to evolve by the aid of a multi-swarm collaboration evolution genetic model, so that new samples can be generated. The fuzz testing system has the advantages that a code coverage rate can be increased when application programs of the networks are tested, and the vulnerability mining efficiency can be improved.

The invention discloses a seed quantitative trait locus positioning method based on a mixed linear model. The method comprises the step of establishing a statistics genetic model, the step of searching the range of a whole genome for all candidate label sections in which an OTL probably exists, the step of regarding the candidate label sections as a concomitant variable, and searching the range of the whole genome for obvious QTLs and a two interaction label section, the step of regarding the QTLs and the two interaction label section as the concomitant variables and searching an obvious interaction label section for obvious loca of a two interaction epistasis, and the step of obtaining coefficients of various effects in the statistics genetic model based on the QTLs and the loca of the two interaction epistasis and calculating the effect of the loca and estimating the heritability of all loca according to the statistics genetic model. The seeds are divided into diploid seeds and triploid seeds according to the traits of the seeds, the epistasis effect and the effect of interaction of genes and the environment are taken into consideration, and the positions of the seed quantitative trait loca and various effects can be fast estimated in an unbiased mode.

The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of selected genes, and particular combinations of genotypes, to identify individuals with increased or decreased risk of breast cancer. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

The invention discloses a hole site correction method applied to automatic drilling and riveting of curved surface products. The hole site correction method comprises the following steps that S1, thetheoretical positions and the actual positions of four reference holes are compared to obtain vector errors of the four reference holes, and an error curved surface function is constructed by combining the vector errors and a normal fitting bilinear hybrid Coons error curved surface; S2, the fifth reference hole is introduced into a hole making area, and the error which should be compensated by the reference hole is obtained through substitution; S3, a multi-objective optimization genetic model is established by combining the actual vector errors of the reference hole, and the optimal value ofthe tangent vector model length of the four reference holes is calculated within a certain range, so that the error curved surface function is determined; and S4, the corresponding value is calculated by utilizing the theoretical coordinates of the hole to be machined, then the hole site error of the hole to be machined can be calculated, and finally the error is compensated to the theoretical coordinates to obtain new theoretical coordinates, namely the hole site correction process is completed. The hole site correction method has the advantages of being good in correction effect, wide in application range and capable of meeting the hole making position precision requirement.

Presented herein are novel protein biomarkers related to cancers with stromal components. These newly identified biomarkers create the basis for multiple (single) assays using traditional bioassay technologies and when used in combination yield exceptional clinical sensitivity and specificity in the determination of diagnosis and/or prognosis of cancer. A new genetic model able to identify potential genetic suppressors and/or potential therapeutic agents for treating stromal cancers is also described. Means and methods for evaluating data generated using multiple biomarkers in order to validate findings and further the use of the biomarkers and the genetic model system in clinical, diagnostic and therapeutic uses is also included.

The invention relates to an establishing method of a neutropenia atherosclerosis model rat, and belongs to the technical field of genetic engineering and genetic modification. A first neutropenia atherosclerosis rat genetic model is established by introducing the Gfi1 point mutation into an ApoE-knocked-out rat gemone for the first time. It is proved through experiments that in the model rat, atherosclerosis plaque is remarkably reduced and atherosclerosis symptoms are remarkably relieved; it is shown that the neutropenia atherosclerosis model rat is successfully established and the atherosclerosis lesion degree can be relieved by neutropenia. The obtained neutropenia cocurrent atherosclerosis model rat has quite important potential application value in the disclosing of the effects of neutrophils on forming and repairing of atherosclerosis and in the diagnosis and treatment of atherosclerosis.

The invention provides a method for determining the influence of genetic variations on function based on a genomic environment. According to the method, each gene serves as a unit, and the common influence of all variations on the gene is annotated. The method includes the following steps: 1, all the variations are mapped to all genes of a given genetic model according to the coordinate positions of the variations; 2, according to all the variations on all the genes, the individualized sequence of each gene is reconstructed; 3, all the individualized sequences are analyzed, and the influences of the variations on the genes are obtained. The method fully considers the genomic environment where the variations are located, a large quantity of annotation errors are avoided, and the accuracy of the annotation variation effect is remarkably improved.

The iterations required for the convergence of a computer-implemented optimization process based on a genetic model are reduced, and the flexibility of the process is increased through mapping multiple characteristics of a system to be optimized to a single gene within a chromosome.

The invention discloses a genome selection method for complex character genetic improvement. The genome selection method comprises the following steps: (1) establishing a statistical genetic model; (2) positioning a major gene; (3) estimating genetic parameters; (4) performing selection based on an individual whole genome breeding value. Compared with the prior art, the method provided by the invention has the beneficial effects that a) compared with a GBLUP model hypothesis, the model hypothesis provided by the invention is more in line with a biological genetic law and has higher predictive power, namely higher genome selection precision; and b) the method is based on a mixed linear model, has great flexibility and is convenient for model expansion.