36 results about "Genetic similarity" patented technology

Methods and devices for clustering a plurality of sub-networks of a larger interaction network using an enhanced hierarchical clustering algorithm are disclosed. The methods provide expression based sub-network generation using differentially expressed markers. The enhanced hierarchical clustering algorithm clusters the generated sub-networks based on a user defined customizable similarity coefficient. The methods use non-Boolean links to cluster similar sub-networks. This provides consideration of indirect relationships among sub-networks. The customizable similarity coefficient enables the methods to be used for diverse applications such as biomarker detection, patient stratification, personalized therapy, drug efficacy prediction, genetic similarity analysis in genetic diseases. The methods enable patient grouping based on the enhanced hierarchical clustering algorithm.

The invention discloses the core SNP site combination of corn molecular breeding and its application. The invention provides the application of 300 SNP sites in at least one of the following (1)-(4): (1) detecting the genetic similarity of corn inbred lines; (2) detecting the heterozygosity of corn hybrids; (3) ) Molecular marker-assisted background selection for maize backcross breeding; (4) maize molecular breeding; the present invention screens and determines a set of SNP site combinations suitable for maize molecular breeding from 740 pairs of SNP primers. Therefore, based on the high-throughput KASP detection platform of samples, the present invention screens the combination of core SNP sites suitable for molecular breeding of maize, which can significantly improve the breeding efficiency.

The invention provides a new method for estimating the composition of aquatic animal genome species based on the ADMIXTURE-MCP model, which belongs to the field of aquatic animal species composition. The method includes the steps of: obtaining unknown species aquatic animal genome SNP marker data; screening reference aquatic animals; Animal Genome Variety Composition. Aiming at the problem that the previous ADMIXTURE model generates small components for similar gene sequences of different species of scallops, the present invention uses a sparse optimization method to generate a sparse solution to reduce the estimated GBC noise generated by the genetic similarity of the traditional model. We found that the sparse solution produced by the traditional L1 norm constrained model is unstable. Although the problem of small components of ADMIXTURE can be reduced, the estimated GBC composition often deviates greatly from the real GBC composition. In order to overcome the defect that the traditional algorithm uses the L1 norm constraint to cause serious GBC estimation deviation, the present invention proposes to use the non-convex function MCP constraint to replace the L1 norm constraint, which can reduce the GBC noise and produce a closer unbiased estimate GBC result.

The invention discloses a calculation method of genetic similarity index of codominance molecular marker based on relative correlation coefficient. The technical scheme is as follows: obtaining an electrophoresis pattern of each variety or kind of plant by adopting the current codominance molecular marker method; comparing in pairs according to the amplification strip information of the variety or kind of the plant; respectively calculating a genetic similarity index between each two plant varieties and kinds according to a calculation formula of the genetic similarity index; and taking the genetic similarity index as the estimation of the corresponding relative extent of the individuals. The calculation method of genetic similarity index is applied to the codominance molecular marker. The calculation method of the obtained genetic similarity index can effectively respond the relative relationship extent among the colonies based on the relative correlation coefficient.

The invention provides PCR (polymerase chain reaction) primers, method and kit for analyzing genetic diversity in gramineous plants. According to the technical scheme provided herein, 3 DNA templates different in character are picked from 13 DNA parts, 21 pairs of primers with clear polymorphic bands are screened out of 100 pairs of primers, the 21 pairs of primers are used to mark the 13 DNA parts, electrophoresis, imaging, photographing and data statistics are performed, UPGMA (unweighted pair-group method with arithmetic means) cluster analysis is performed on genetic similarity and genetic distances of the plants, and diversity analysis and interspecific relation research are performed. The research indicates that gramineous plant germplasm resources show rich genetic diversity; the genetic groups of these materials have no great relationship with geographic origin and geographic environment; SRAP (sequence-related amplified molecular polymorphism) marker is a molecular marker suitable for the research on gramineous plant germplasm resources.

The invention relates to a method for identifying prunus persica plant species based on SSR molecular markers. According to the method, SSR primers with high polymorphism are selected for carrying out the SSR-PCR amplified reaction, electrophoresis detection and system analysis on 55 parts of prunus persica plant specie materials. The result shows that 10 pairs of primers, with high polymorphism, screened from 100 pairs of SSR primers are used for carrying out SSR-PCR amplification on genome DNA of the prunus persica plant specie materials, 63 amplified bands are amplified together, the number of polymorphic bands is 60, the polymorphic rate is 95.2%, and the better amplification result is obtained. Similarity coefficient and cluster analysis is carried out, the genetic similarity coefficient is 0.4133-0.9600, and the average similarity coefficient is 0.6867; the genetic difference among the 55 parts of prunus persica plant specie materials shows that the different species and the genetic distances among the different species are different, when the similarity coefficient is smaller than 0.68, most cultivated varieties are clustered into one cluster, and most cultivated varieties in the same provenance can be clustered together. An important way is provided for further distinguishing the genetic relationship among the prunus persica plant specie resources.

The invention relates to the method for identifying the varieties of lilium brownii by adopting an SSR (simple sequence repeat) molecular marking technology. A result shows that: two pairs of high-polymorphism and high-repeatability primers are screened from 13 pairs of primers for detecting 171 fragments comprising 131 polymorphic fragments, 4 to 22 fragments can be detected by each pair of primers with the sizes of 100 to 250bp, 1.69 bands are amplified by each pair of primers, and the polymorphism rate is 76.70 percent; NTSYS-pc2.11 is used for similarity coefficient and cluster analysis, the genetic similarity coefficient is 0.5882 to 09412, and the average similarity coefficient is 0.7647; materials are divided into six major classes by cluster analysis, the genetic differences between 11 lilium brownii germplasms are irrelevant to varietal characteristics, flower forms, the colors of filaments and styluses, but have certain correlation with the colors of petals, flower genes can better reflect genetic relationships between the lilium brownii germplasms, different varieties have different colors, and the primers can be designed by controlling related genes of flowers to provide an important means for further distinguishing the genetic relationships.

The present invention relates to a system and method for forming an online social network using genome information. To be more specific, an embodiment of the invention may include a web server that creates a database of detailed information of members, including genome information of the member, as inputted from member terminals, and which generates a social network on the world wide web based on the genome information of the members. An embodiment of the invention can be utilized to satisfy the various personal demands of members by analyzing the gene information of members to form a database of the members' genome information and forming a social network online according to the degree of genetic similarity or distance of the genome information.

The invention relates to a complex breeding method for improving a growth trait of Pelteobagrus fulvidraco. The complex breeding method includes the following steps: acquiring high-quality Pelteobagrus fulvidraco and Pelteobagrus vachelli parent library through second generation group breeding; using microsatellite markers to detect Pelteobagrus fulvidraco and Pelteobagrus vachelli parents, selecting parent individuals having the genetic similarity of above 90% as a reproduction group; using female Pelteobagrus fulvidraco as female parents and male Pelteobagrus vachelli as male parents to perform hybrid breeding; and acquiring hybrid Pelteobagrus fulvidraco having the growth speed above 20% faster than common Pelteobagrus fulvidraco, wherein the hybrid Pelteobagrus fulvidraco has both excellent traits of dual parents, an attracting color ( female parents) and fast growth speed ( male parents). The complex breeding method can acquire improved hybrid Pelteobagrus fulvidraco, and has important significance for increasing the unit yield, the breeding benefits, and serving production practice.