7 results about "Genetic differentiation" patented technology

The application discloses a kind of integrated hybrid information purebred genome prediction method, belong to animal genetic breeding and propagation technical field.The population genetic dataset comprising purebred population A, B and hybrid population CB is constructed, and the population genetic differentiation is verified by principal component analysis and genetic differentiation index;After the genotypes of purebred and hybrid population CB are phased, the ancestral information inference method is used to determine the origin information of each allele and process missing sites;Based on the origin information of allele, additive effect partial kinship correlation matrix and dominant effect partial kinship correlation matrix are constructed;The above matrix is integrated into three-trait mixed linear model, forming the prediction model that simultaneously incorporates purebred and hybrid population genetic information;The application distinguishes the breed origin of allele and quantifies its additive and dominant effect, significantly improves the prediction accuracy of purebred genome breeding value, is suitable for the traits difficult to directly determine in purebred population, and provides reliable technical support for animal breeding.

The invention provides a 20K liquid phase chip for simultaneously and accurately identifying various goose varieties and application, the 20K liquid phase chip covers 22005 SNP molecular markers, and the SNP molecular markers are specifically composed of a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt, a genetic differentiation index FSTgt The SNP molecular marker is composed of 4991 genetic differentiation specific sites, 12 important character associated sites and 17002 whole genome background sites of 22005 goose varieties, and the specific positions of the 22005 SNP molecular marker sites are shown in a table 1 in the specification. According to the method, 16 goose varieties can be accurately distinguished, the identification efficiency is high, the detection process can be completed within 24 hours, 48-96 samples can be detected at a time, and the technical repetition rate is gt; the cost of the chip is far lower than that of a high-density chip, and the chip is suitable for carrying out multi-variety and large-scale germplasm monitoring and identification work in a breed conservation field, a research and development unit and the like, and is high in practicability.

The rate of evolution may be estimated for any length of genomic fragments (or amino acid sequences) from a single codon (or amino acid position) to the entire genome or protein. Under the condition that a target genome reference sequence at initial time and each genome specific sequence of one or more target strains within a certain time period after the initial time are given, some genome fragments can be selected; a genetic differentiation parameter for a reference sequence fragment may then be calculated based on the genetic distance between the fragment and a corresponding fragment in each strain-specific sequence. Based on the genetic differentiation parameters, the evolution rate or evolution stability parameter of the fragment may be calculated and applied to the design of antiviral therapy or antiviral vaccines and / or the estimation of tumor growth.

The present invention provides a microfluidic system and method for reprogramming, proliferating, preserving, and optionally differentiating cells. [Solution] An integrated microfluidic system is provided that utilizes microfluidic chip technology to accept a patient sample containing cells, grow the cells, reprogram the grown cells, and then store the reprogrammed cells in a microfluidic chip. These microfluidic chips containing the reprogrammed cells can then be used in situations of genetic differentiation to specific cell types. Overall, this system and workflow is suitable as a hospital-based device that enables the creation of any patient-derived iPSC for downstream diagnostic or therapeutic applications.

The invention discloses a picea genetic diversity analysis method, and relates to the technical field of forest tree genetic analysis, and the method comprises the steps: firstly obtaining two-dimensional space coordinates and genotype data of a picea sample in a replanting patch, determining a strip extension direction, and generating a one-dimensional projection coordinate; then constructing a parameter search space containing candidate stripe width and initial phase, traversing and searching an optimal stripe structure parameter which maximizes the genetic differentiation index between the virtual alternating subgroups; and finally, on the basis of the optimal grouping, calculating an in-band diversity reference value for removing the mixing effect, and correcting observation diversity parameters of the whole group by taking the in-band diversity reference value as a reference. According to the method, the recessive banded provenance structure in the complementary planting forest stand can be automatically identified, the Warrend effect deviation caused by neglect of a space structure is effectively eliminated, the problem of virtual high inbreeding coefficient in traditional evaluation is solved, and an accurate decision basis is provided for scientific conservation and operation of picea germplasm resources.

This invention discloses a genetic discrimination method for sedimentary bauxite based on gallium / lithium elemental distribution, belonging to the field of genetic discrimination technology. This method establishes a multi-dimensional geochemical index system, including gallium-titanium ratio, gallium weathering ratio, and lithium content, and solidifies specific quantitative threshold standards for three types of deposits: allochthonous weathering, in-situ sedimentary, and sedimentary-leaching altered deposits. It boasts high discrimination accuracy and effectively solves the technical problems of ambiguity, multiple solutions, and high misjudgment rate caused by traditional methods relying on field macroscopic observation and subjective experience. Furthermore, based on cluster analysis and discriminant analysis algorithms, it solves for the optimal classification interface in the multi-dimensional parameter space, compiling a gallium-lithium dual-element collaborative discrimination chart and a regionally specific genetic type quantitative standard table, significantly improving the scientific rigor of bauxite mineralization regularity research and the efficiency of mineral exploration.