57 results about "Genomic information" patented technology

Examples are described for dynamically encrypting and / or decrypting a file formed of multiple blocks of ordered data. In one example, a method of dynamically encrypting a file to enable partial decryption of the file includes generating, using a secret key and one or more initialization vectors, a keystream for the multiple blocks of ordered data, encrypting the multiple blocks of ordered data of the file by performing a logical operation of the keystream with the multiple blocks of ordered data in a one-to-one correspondence, and building a file index of the file to identify location information of the multiple blocks of ordered data. The method may further include dynamically decrypting at least a portion of the file by decrypting at least one selected block of encrypted data of the file using a portion of the keystream, the portion of the keystream corresponding to the at least one selected block.

The invention discloses a crop germplasm resource data analysis and integration system, which relates to the technical field of germplasm resource management and comprises a data acquisition module and a data processing module, the mapping module is used for building a crop germplasm correlation graph based on a graph theory algorithm, and the integrated retrieval module is used for providing multi-dimensional retrieval for the correlation graph. According to the method, germplasm resources are mapped into nodes by utilizing a graph theory method, and correlation map view angles oriented by different functions such as genotype approximation, phenotype shape approximation or environmental adaptability approximation can be constructed as required by adjusting the proportions of genotype, phenotype characteristics and environmental adaptability vectors in the correlation map in edge weights; and a basis is provided for diversified analysis and retrieval.

The invention relates to the technical field of intelligent agriculture and crop models, and particularly discloses a corn whole growth period simulation model construction method based on gene information. The method comprises the following steps: firstly, obtaining whole genome re-sequencing data of a target corn population and multi-growth-stage phenotype data of continuous years at the same ecological point, and dividing the population into a plurality of subgroups with consistent genetic backgrounds based on the re-sequencing data; and then, by adopting a strategy of'single family parameter inversion-subgroup template construction-secondary optimization and calibration on a single genotype under the constraint of the subgroup template ', the genetic subgroup characteristics based on the genome are associated with an APSIM crop model, and a high-precision corn growth period prediction model is constructed. According to the method, the defects that a traditional crop model is low in large-scale breeding material parameter calibration efficiency and prone to falling into local optimum are overcome, and the method is particularly suitable for efficient and accurate growth period prediction and adaptability evaluation on a large number of breeding materials in a unified ecological region.

The application discloses a method for improving chromatin DNA accessibility in cells and application thereof, relates to the technical field of gene sequencing and tissue cell sample analysis, and comprises the following steps: providing a sample to be detected; mixing the sample to be detected with an alcohol reagent to permeabilize cells and expose heterochromatin regions of the sample to be detected, so as to obtain a pretreated sample; performing fragmentation treatment on DNA of the pretreated sample, performing reverse transcription reaction on RNA in the pretreated sample, performing labeling on the fragmented DNA and the cDNA after the reverse transcription reaction, and separating labeled genomic DNA and cDNA; and performing library construction and sequencing on the fragments of the labeled genomic DNA and the cDNA product respectively, so as to obtain single-cell genomic information and transcriptome information of the sample to be detected. The alcohol reagent can open the heterochromatin without bias to obtain more nucleic acid fragments, improve the sensitivity of single-cell genome detection, does not affect RNA detection, and realizes high-throughput double-omics analysis of single-cell whole-genome DNA and RNA.

The invention provides a breeding method for improving the yield and quality of chicken, and belongs to the technical field of poultry breeding. The method comprises the following steps: firstly, dividing chicks hatched in a breeding group into a determination group and a candidate group; measuring the total number of pectoralis major muscle fibers (PTNM) and the total number of gastrocnemius muscle fibers (GTNM) of one-day-old chicks of the group; carrying out limited feeding on the candidate groups; based on pedigree records and / or genome information and phenotypic data such as PTNM and GTNM, genetic parameters are estimated by using an optimal linear unbiased prediction model (ABLUP and / or ssGBLUP), and PTNM and GTNM estimated breeding values of candidate group individuals are solved; standardizing the estimated breeding value and then calculating a comprehensive breeding value in combination with a weight coefficient; performing seed selection on the candidate group to establish a family; the subculture individuals breed the next generation, and the steps are repeated until the chicken yield and quality are improved. Through accurate determination and early selection of the total number of muscle fibers, the breeding process is accelerated, and the chicken yield and quality are remarkably improved.

The invention discloses a genome display and analysis system which comprises a genome information and literature information acquisition module, a gene display module, a gene comparison module, a primer design module and a database established according to the method. The method has the characteristics that similar homologous genes among different species can be quickly obtained, genes or protein sequences among different species can be more accurately and quickly compared and analyzed, the genes can be quickly visualized in genomes, verified gRNA sequences can be displayed, tools can be integrally used, and time and labor can be saved.

This invention provides a method for identifying catfish ( Silurus asotus This invention discloses a specific molecular marker for sex identification. The molecular marker is a DNA fragment located on the Y chromosome of catfish, and its nucleotide sequence is shown in SEQ ID No. 3. A DNA fragment partially homologous to this fragment is located on chromosome 8, and its nucleotide sequence is shown in SEQ ID No. 4. This invention is the first to screen male-specific fragments from catfish genome information and design specific primers for genetic sex identification of catfish. The genetic sex PCR identification method based on this molecular marker is applicable to genetic sex identification and screening of catfish at different growth stages and in different populations in different watersheds in the field, in laboratories, or in aquaculture enterprises. Since female catfish grow faster than males, applying this method to assist in the production of all-female fry helps improve the efficiency of aquaculture.

The invention discloses a ganoderma lucidum binuclear genome assembly method based on haplotype analysis, and belongs to the technical field of bioinformatics. The purpose of the present invention is to overcome the accuracy and accuracy of high hybrid genome assembly. The invention provides a ganoderma lucidum binuclear genome assembly method based on haplotype analysis, which comprises the following steps: obtaining mononuclear ganoderma lucidum cells, respectively carrying out whole genome sequencing by utilizing Illumina NovaSeq, Nanopore, Hi-C and PacBio HiFi, and obtaining accurate genome information according to the sequencing data of the Illumina NovaSeq and the sequencing data of the Nanopore. And an assembly strategy of haplotype separation is realized.

The present invention discloses a long-term, reliable, low-cost, and precise storage technology for genomic information. The specific solution is to generate a small amount of ECC information based on the sequenced and assembled DNA sequence information, and then synthesize and encode these ECC information into a large number of small DNA fragments through DNA information storage technology. These small DNA fragments can be mixed with the extracted genomic DNA, or stored separately, thereby realizing the storage process of genomic information. During the reading process, the stored samples need to be mixed or sequenced separately. After sequencing, the ECC information is first decoded, and then the genomic sequence is accurately assembled under the guidance of the ECC information. Compared with directly storing genomic DNA molecules, the solution of the present invention can achieve accurate reading and assembly of genomic information and significantly enhance the reliability of long-term storage, and can reduce the coverage requirements of sequencing in the reading process; compared with directly encoding and storing genomic sequence information through DNA information storage technology, the solution of the present invention has significant cost advantages, and can store information on genomic modifications, thereby supporting related research on the genomic DNA molecules themselves.

The invention discloses an aegilops variabilis whole genome SNP site combination, a probe, a chip and application of the aegilops variabilis whole genome SNP site combination, the probe and the chip. The aegilops variabilis whole genome SNP site combination is composed of 10K SNP sites composed of 4K Dv subgenome SNP sites and 6K Nv subgenome SNP sites. According to the method, the genome information of the aegilops tauschii can be detected in a high-quality, high-efficiency and high-throughput manner, so that an efficient detection technical means is provided for molecular breeding application of the excellent genes of the aegilops tauschii and the chromosome segments of the excellent genes, and an efficient detection tool is provided for exploration and breeding utilization of the excellent genes.

The invention relates to a strain for degrading beta-carotene, a crude enzyme solution, dioxygenase and application, and relates to the technical field of genetic engineering and microbial fermentation. The invention relates to a strain for degrading beta-carotene, the preservation name of the strain is Escherichia coli LZU-E1, and the strain is preserved in the China General Microbiological Culture Collection Center (CGMCC) with the preservation number of CGMCC No.34862. The invention further discloses a preparation method of the strain for degrading beta-carotene. The method comprises the following steps: screening a strain for efficiently degrading beta-carotene, extracting a crude enzyme solution, researching the enzymatic property of the crude enzyme solution, and mining a new dioxygenase gene for degrading beta-carotene from genome information of the strain by utilizing a molecular biology means, so that the isoprene-reduced natural perfume is efficiently obtained.

This present disclosure provides an integrated workflow and systems for the efficient deployment of integrated genomic and proteomic diagnostic assays. The diagnostic assays include a proteomic component, a genetic component, liquid handling robots, a LIMS system, and a software classifier component. Also provided herein are systems and diagnostic assays for the detection of lung cancer.

Disclosed herein are methods for single-cell sequencing. In some examples, the methods include enriching a sample comprising a plurality of cells for cells of interest to produce an enriched cell sample; isolating one or more cells of interest in the enriched cell sample; and obtaining sequence information of one or more polynucleotides from each of the one or more isolated cells. Obtaining sequence information may include generating a molecularly indexed polynucleotide library from the one or more isolated cells. Enriching the sample may include focusing cells of interest in the sample using acoustic focusing.

This invention discloses a method for constructing and analyzing a genome-scale metabolic network model of *Paragonimus denitrifyingus*, belonging to the field of systems biology. The method includes: whole-genome annotation; obtaining global metabolic response data of *Paragonimus denitrifyingus*; automatically retrieving genomic information and constructing Model 1 based on the species code and genome annotation results of *Paragonimus denitrifyingus* in the KEGG database; constructing Model 2 by identifying homologous proteins in the *Paragonimus denitrifyingus* genome through homology searching of proteins in the target organism based on a pre-trained Hidden Markov Model; and integrating Model 1 and Model 2. This invention allows for the efficient design and modification of denitrification engineering, achieving precise control of nitrogen degradation processes. Compared to existing metabolic engineering methods, this invention effectively reduces the workload of exploratory experiments and greatly advances a deeper understanding of the nitrogen degradation characteristics of *Paragonimus denitrifyingus*.

An integrated data repository may be generated that includes genomics information and health insurance claims data information for a common group of individuals. A data processing pipeline may be implemented with respect to information stored by the integrated data repository. The data processing pipeline may include a number of sets of data processing instructions that are executable to analyze specified information stored by the integrated data repository and generate different datasets. The datasets may be analyzed to determine an impact of characteristics of individuals and / or an amount of impact of treatments provided to individuals in which a biological condition is present.

This invention relates to the field of smart agriculture and crop modeling technology, specifically disclosing a method for constructing a maize full-growth-period simulation model based on genetic information. The method first acquires whole-genome resequencing data and multi-growth-stage phenotypic data of a target maize population over several consecutive years at the same ecological location. Based on the resequencing data, the population is divided into several subpopulations with consistent genetic backgrounds. Subsequently, using a strategy of "single-family parameter inversion – subpopulation template construction – secondary optimization and calibration of single genotypes under subpopulation template constraints," the genetic subpopulation characteristics based on the genome are correlated with the APSIM crop model to construct a high-precision maize growth period prediction model. This invention overcomes the shortcomings of traditional crop models, such as low efficiency in parameter calibration for large-scale breeding materials and susceptibility to local optima. It is particularly suitable for efficient and accurate growth period prediction and adaptability evaluation of a large number of breeding materials within a unified ecological zone.

The invention discloses a corn genetic typing primer combination suitable for a nanopore sequencing platform and application, the primer combination comprises at least one of 11 pairs of ONT primers, and the sequences of the primers are shown as SEQ ID NO: 1-SEQ ID NO: 22. The primer can specifically amplify a target area with rich heritable variation in a corn genome, PCR products obtained through amplification are mixed and then subjected to nanopore on-machine sequencing, the target rate of the amplification products is counted by analyzing species attributes and genome comparison positions of sequencing sequences and combining experimental data of a to-be-detected sample, known genome information is associated, and the target area of the to-be-detected sample can be identified according to the target rate of the to-be-detected sample and the target area of the to-be-detected sample. And the purity and identification accuracy of the corn seeds are judged. The primer combination has maize material specificity and intra-population compatibility, can economically and efficiently complete genotype identification of maize inbred lines and hybrid population offspring, and can be applied to maize variety authenticity verification and breeding material genetic background analysis and screening.

This invention discloses a method and system for selecting functional gene variant sites, relating to the field of gene site selection. The method includes: acquiring chromatin accessibility distribution information across the entire genome; performing convolutional block transformation based on the accessibility distribution information to obtain accessibility feature values; determining genomic information across the entire genome based on regulatory maps; determining an initial weight value set based on the accessibility feature values ​​and genomic information; the initial weight value set is a set of initial weight values ​​corresponding to each of the accessibility feature values ​​and genomic information; inputting the accessibility feature values, genomic information, and the initial weight value set into a site selection model, and outputting selected functional gene variant site information and regulated susceptibility gene information; the selected functional gene variant site information includes: site variant bases that meet set threshold conditions and their corresponding site coordinates; this invention can improve the selection efficiency of functional gene variant sites.

The invention relates to a forensic physical evidence multi-person identity authentication method. The method comprises the following steps: S1, optimizing a short tandem repeat map mathematical model; s2, preprocessing the short tandem repeat map mathematical model to obtain sites containing information; s3, using a mean shift algorithm to process peak points in the atlas, converging to a density local maximum point, and outputting the number of modes as the preliminary estimation of the number of contributors of the locus; s4, judging the mixing ratio of each contributor by using a gradient descent algorithm; and S5, generating an initial vector depending on the mixing ratio according to the mixing ratio, performing sliding matching by keeping the contribution amount of the contributor unchanged, finding an allele size value suitable for genome information contributed by each contributor, and generating a genotype by searching an id corresponding to the nearest allele size in an original map. By means of the design, DNA information of multiple persons can be processed, and contributor composition and proportion of all components in mixed data are analyzed.

To provide an information processing device 1, an information processing method, and an information processing program obtaining information for generating a large volume of various virtual characters for which one has strong feeling.SOLUTION: An information processing device 1 comprises: a genome acquisition section 10 for acquiring first genome information including DNA base sequence information of a first object; a variation correction section 20 for correcting predetermined variation information included in the first genome information acquired by the genome acquisition section 10 and obtaining first corrected genome information; and a character generation section 30 for generating virtual character information DT including trait information of a virtual character on the basis of the first corrected genome information.SELECTED DRAWING: Figure 1

This invention discloses a primer combination for maize genotyping suitable for nanopore sequencing platforms and its application. The primer combination includes at least one of 11 pairs of ONT primers, the sequences of which are shown in SEQ ID NO: 1-SEQ ID NO: 22. The primers of this invention can specifically amplify target regions rich in genetic variation in the maize genome. The amplified PCR products are mixed and then sequenced using nanopore sequencing. By analyzing the species attributes and genome alignment positions of the sequencing sequences, combining experimental data from the test samples to calculate the targeting rate of the amplified products, and associating them with known genomic information, the purity and identification accuracy of maize seeds can be determined. This primer combination combines maize material specificity with population compatibility, enabling economical and efficient genotyping of maize inbred lines and hybrid populations. It can also be applied to verify the authenticity of maize varieties, analyze the genetic background of breeding materials, and screen for genotyping.

The application discloses a high-quality pig creating and breeding method, which comprises the following steps: 1) a certain blood structure of purebred Luchuan pigs is screened through molecular pedigree construction based on genome information, and the screened Luchuan pigs are used as female parents to cross with Duroc boars to generate Duroc-Luchuan crossbred pigs; 2) the Duroc-Luchuan crossbred pigs are used as female parents to cross with Barcshires boars to generate Bar-Duroc-Luchuan crossbred pigs; 3) the Bar-Duroc-Luchuan crossbred pigs are used as female parents to cross with Duroc boars to generate Duroc-Bar-Duroc-Luchuan crossbred pigs; 4) based on the Duroc-Bar-Duroc-Luchuan crossbred pigs, male and female pigs meeting the breeding target are selected according to a selection index to realize horizontal cross fixation, and an excellent horizontal cross offspring is selected to form a breeding core group; and 5) the core group in the step 4) is used as a zero generation group, a group succession breeding method is adopted, whole genome selection and genome prediction and the like are used to estimate a genome breeding value of breeding pigs and predict a phenotype, and precise intelligent breeding selection and matching are realized.

In a data processing system 1 comprising a data providing device 10, a data processing device 20, and a data utilization device 30. The data providing device 1 comprises a transmission / reception unit 13 that transmits a plurality of pieces of metadata related to a plurality of pieces of genome information extracted from a plurality of pieces of genome data to the data processing device. The data processing device 20 comprises a metadata management unit 22 that manages the plurality of pieces of metadata, and a genome information processing unit 24 that acquires encrypted genome information corresponding to metadata retrieved from the plurality of pieces of metadata by the data utilization device, and processes the acquired genome information in an isolated execution environment by means of an encrypted processing logic of the data utilization device. The data utilization device 30 comprises a search unit 31 that searches for metadata from the plurality of pieces of metadata, and a transmission / reception unit 32 that transmits the encrypted processing logic for the retrieved metadata to the data processing device and receives a processing result from the data processing device.

The application discloses a Ganoderma lucidum double-nucleus genome assembly method based on haplotype analysis and belongs to the technical field of bioinformatics. The application aims to overcome the precision and accuracy of high-hybrid genome assembly. The application provides a Ganoderma lucidum double-nucleus genome assembly method based on haplotype analysis, obtains single-nucleus Ganoderma lucidum cells, respectively performs whole genome sequencing on the cells by using Illumina NovaSeq, Nanopore, Hi-C and PacBio HiFi, obtains precise genome information from Illumina NovaSeq sequencing data and Nanopore sequencing data, and realizes a haplotype separation assembly strategy.

A system for recovering information lost during genomic data compression employs a quality-driven approach using neural networks. The system evaluates the importance of genomic regions through a quality analysis engine that assigns quality scores, while a rate control engine determines optimal compression rates based on these scores. A specialized neural network recovers lost information from correlated genomic datasets that have undergone lossy compression, utilizing recurrent layers for feature extraction and a channel-wise transformer with attention to capture complex relationships between data channels. The neural network architecture incorporates a deblocking network that combines these components to effectively reconstruct compressed data. A decoder receives and decompresses the data, then processes it through the neural network to recover information lost during compression. This adaptive system ensures critical genomic information is preserved while maximizing compression efficiency.

The invention relates to the technical field of genome information analysis, in particular to a local pig optimal heterosis prediction method based on genome information. According to the method, pure parents with clear genetic backgrounds are accurately identified and screened out by utilizing high-density SNP marker information covering a whole genome, a reference population is constructed, large-scale hybridization propagation is simulated, structured virtual population data is formed, and multi-character phenotype data of filial generations are standardized and weighted, so that the genetic backgrounds of the filial generations are optimized, and the genetic backgrounds of the filial generations are optimized. The method comprises the following steps of: dividing a plurality of characteristic groups such as a production performance type and a reproductive performance type, and analyzing the correlation between phenotypic deviation and genotype in each group, so as to separate and quantify dominant effect caused by heterozygous genotype and recessive effect caused by homozygous genotype, construct explicit and recessive weight parameters, and determine the genetic relationship between the dominant effect and the recessive effect; finally, the non-additive effect parameters are superposed to a traditional additive breeding value model, direct quantitative prediction of heterosis is achieved, and therefore the accuracy and efficiency of hybrid combination matching are greatly improved.

This invention discloses a wheat ultra-high-density gene chip probe and its preparation method, belonging to the fields of plant functional genomics, population genetics, and molecular breeding technology. Based on wheat pan-genome information, this invention uses resequencing data and exon capture sequencing data from large-scale natural wheat populations to perform variation analysis and obtain ultra-large-scale whole-genome variation information. High-quality SNPs and INDEL loci with population and individual representativeness are obtained through filtering and screening. Simultaneously, harmful mutation sites are identified, and publicly published genetic loci related to important wheat yield and quality traits are integrated and extracted. Polymorphic loci regions are determined by combining genome annotation and variation annotation. Finally, ultra-high-density liquid-phase probes are synthesized at the pan-genome level. Because this invention only sequences target gene regions, it reduces sequencing costs by more than 90% for the same gene sequencing depth.

The invention discloses a liquid-phase probe targeted capturing and library building method for adenovirus. The method comprises the following steps: S1, probe design: S1, designing a plurality of biotin-labeled adenovirus probes; s2, sample treatment and DNA purification; s3, carrying out fragmentation treatment on the double-chain cDNA, and carrying out terminal repair and linker connection, PCR amplification and magnetic bead purification to obtain an initial library; s4, mixing the initial library with an adenovirus probe, a blocker and a blocking mixed solution, hybridizing, purifying by magnetic beads, adding a fast hybrid mixed solution and a fast hybrid enzyme to promote hybridization, finally adding streptavidin binding beads and a fast capture buffer solution, and eluting to obtain an adenovirus enriched library; and S5, amplifying the enriched library by using a high-fidelity enzyme, and adding magnetic beads for purification. According to the present invention, with the liquid phase probe targeting capture technology, the core pain points such as low-load missing detection, incomplete serotype coverage, genome information loss, poor high-throughput adaptability and the like in the adenovirus detection are effectively solved, and the core technical support is provided for the adenovirus molecular diagnosis and the public health prevention and control.

The invention discloses a campylobacter jejuni liquid-phase probe targeted capturing and library building method and a kit thereof, and belongs to the technical field of germ detection. Specific probe enrichment, magnetic bead purification and high-throughput sequencing are combined, and the problems that in the prior art, low-load detection is difficult, information is incomplete, and operation is tedious are solved. Aiming at the characteristics of wide food-borne transmission, multiple low-load samples and strong complex matrix interference of campylobacter jejuni, low-load accurate detection, whole-genome information analysis and high-throughput standardized operation are realized through a liquid-phase probe targeted capture technology; the method is suitable for large-scale sample detection in the fields of food safety detection, clinical diagnosis, public health research and the like.