59 results about "Genetics dna" patented technology

The present invention is in the field of plant biochemistry and genetics. More specifically the invention relates to nucleic acid molecules from plant cells, in particular, genomic DNA sequences from rice plants and nucleic acid molecules that contain markers, in particular, single nucleotide polymorphism (SNP) and repetitive element markers. In addition, the present invention provides nucleic acid molecules having regulatory elements or encoding proteins or fragments thereof. The invention also relates to proteins and fragments of proteins so encoded and antibodies capable of binding the proteins. The invention also relates to methods of using the nucleic acid molecules, markers, repetitive elements and fragments of repetitive elements, regulatory elements, proteins and fragments of proteins, and antibodies, for example for genome mapping, gene identification and analysis, plant breeding, preparation of constructs for use in plant gene expression, and transgenic plants.

The present invention is in the field of plant biochemistry and genetics. More specifically the invention relates to nucleic acid molecules from plant cells, in particular, genomic DNA sequences from rice plants and nucleic acid molecules that contain markers, in particular, single nucleotide polymorphism (SNP) and repetitive element markers. In addition, the present invention provides nucleic acid molecules having regulatory elements or encoding proteins or fragments thereof. The invention also relates to proteins and fragments of proteins so encoded and antibodies capable of binding the proteins. The invention also relates to methods of using the nucleic acid molecules, markers, repetitive elements and fragments of repetitive elements, regulatory elements, proteins and fragments of proteins, and antibodies, for example for genome mapping, gene identification and analysis, plant breeding, preparation of constructs for use in plant gene expression, and transgenic plants.

A candidate single nucleotide polymorphism (SNP) combination is selected from a plurality of candidate SNP combinations for a gene associated with a genetic trait. Haplotype data associated with this candidate SNP combination are read for a plurality of individuals and grouped into a positive-responding group and a negative-responding group based on whether a predetermined trait criteria for an individual is met. A statistical analysis on the grouped haplotype data is performed to obtain a statistical measurement. The acts of selecting, reading, grouping, and performing are repeated as necessary to identity the candidate SNP combination having the optimal statistical measurement. In one approach, a directed search based on results of previous statistical analysis of SNP combinations is performed until the optimal statistical measurement is obtained. In addition, the number of SNP combinations selected and analyzed may be reduced based on a simultaneous testing procedure.

Secure network transaction system obtains user-authorized genetic term or bioinformatic profile, and transacts online service according to genetically-based user medical or other risk determined therefrom. Insurance policy, promotional offer, or other service may dynamically address genetically-based condition. Bioinformatic data classifies user per personal mask which filters subset of user genetic sequence. Risk profile may be calculated according to actuarial statistics, genetics and / or heredity using non-discriminatory rules specified for users in temporal or jurisdictional groups. User transactions are modifiable according to bioinformatic data representing genetically-based risk increase or decrease. Data is securely processed, modulated, and stored by network server for remote access and transaction using various portable user devices.

A technique is provided for rendering personalized health case based upon genetic and other data. Patient data is obtained for individual patients. A knowledge base is consulted that includes genetic information for the patient or for known populations, along with indications of conditions that may be related to the genetic information, and potential responses to the conditions. Additional medical data may also be included to complement the genetic information. An output is generated that may include one or more of the responses contained in the knowledge base, such as for testing, treatment, monitoring, and so forth, of the condition.

Synthetic Stem Cell-like Tissue Healing and Regeneration Medication with Anti-inflammatory, Protein Synthesis, Enzyme Deficiency Activation and Genetic Therapy, and Anti-cancer Agent derived from a series of inventions that include these products of Biomolecular Engineering, Drug Discovery from a Biologic Periodic Table of Applied Biochemistry and Biophysics. Tissue has a self healing effect promoting tissue healing and tissue regeneration. Not only does it maintain good health but also it has been observed that the patient's blood is withdrawn from the patient and applied to the ulcer has healing qualities. Cartilage placed in a wound promotes and accelerates wound healing. The anabolic biochemical and biophysical equivalent of tissue has been found in these embodiments to have the same pharmacologic qualities, when devoid of genetic DNA mismatch and other catabolic factors including the catabolic effects of microorganism overgrowth that lacks pro-biotic qualities. The healing efficacy of these tissue components gives us further appreciation of the protective action of human tissue over and above and other than the immune protective system or perhaps an integral component part of the immune system.

The invention relates to an animal behaviour testing platform for optogenetics regulation and control, used for carrying out a behaviour test on tested animals. The testing platform comprises a central control system, an environmental control system, a behaviour monitoring system, a photoelectric detection, regulation and control system and a case device used for fixing the systems. A standard and integrated behaviour testing platform used for testing animal optogenetics regulation and control is established by combining an optogenetics neural regulation and control technology and electrophysiology and behaviour tests and the like; by virtue of the platform, optogenetics regulation and control as well as behaviour record on the tested animals in certain environment can be realized, thus being easy to understand relation between the animal optogenetics regulation and control and the behaviour and meeting requirements of research on pathogenesis and treatment mechanism of a nervous system and mental diseases.

Improved systems and methods for performing genetic analyses. Full genomic DNA scans are performed on the genetic DNA from a plurality of individuals to identify genetic variants. For those variants, but not based on a full genetic DNA scan, the variants alone are scanned in additional individuals to identify blocks of the variants that tend to be inherited together.

The present invention is in the field of plant biochemistry and genetics. More specifically the invention relates to nucleic acid sequences from plant cells, in particular, genomic DNA sequences from Arabidopsis thaliana plants. The invention encompasses nucleic acid molecules present in non-coding regions as well as nucleic acid molecules that encode proteins and fragments of proteins. In addition, the invention also encompasses proteins and fragments of proteins so encoded and antibodies capable of binding these proteins or fragments. The invention also relates to methods of using the nucleic acid molecules, proteins and fragments of proteins, and antibodies, for example for genome mapping, gene identification and analysis, plant breeding, preparation of constructs for use in plant gene expression, and transgenic plants.

Creation of a social genetics network that provides personal and business services includes: receiving non-genetic data and genetic data about a user and storing the non-genetic data and genetic data in a database; analyzing the genetic data and the non-genetic data to i) assign traits to the user based at least in part on phenotypic and / or genotypic relationships found in the genetic data and the non-genetic data, and ii) determine trait connections between the user and other users in the network based on a similarity of the traits that are common to the user and the other users; and generating and displaying on an electronic device a social genetics profile that includes at least a portion of the non-genetic data, at least a portion of the traits assigned to the user, and at least a portion of the trait connections of the user to the other users.

The invention discloses a method for massively and efficiently developing molecular markers on the basis of Indel and SSR (simple sequence repeat) site techniques. The method comprises the following steps: (1) selecting at least 3 samples to be developed, and respectively extracting DNAs (deoxyribonucleic acids) of the samples to be developed; (2) carrying out enzyme digestion on the DNA samples of the samples to be developed, establishing a sequencing library, and carrying out sequencing; (3) mixing the genomes of all the samples to be developed, and assembling to obtain Contigs; (4) comparing the Contigs with the sequences of the sample individuals to be developed, and acquiring SSR sites with Indel inside according to the Indel and SSR site information as a candidate polymorphism SSR site; (5) designing primers according to the obtained candidate polymorphism SSR site, carrying out PCR (polymerase chain reaction) amplification and sequencing, and selecting a ribbon-shaped stable clear strip as molecular marker primers to be verified; and (6) carrying out PCR amplification on different samples to be developed by using the obtained molecular marker primers, and selecting the molecular markers with diversity, thereby obtaining the molecular markers. The method enhances the molecular marker development efficiency; and the developed SSR molecular markers can be efficiently applied to research in the aspects of genetics, multiplication release evaluation and the like.

The invention provides nucleic acid sequences that are complementary, in one embodiment, to a collection of human single nucleotide polymorphisms. The invention provides the sequences in such a way as to make them available for a variety of analyses including genotyping a large number of SNPs in parallel by, for example, allele specific hybridization. The invention also provides a collection of human SNPs that is useful for genetic analysis within and across populations. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

A method and system for the imaging and localization of fluorescent markers such as fluorescent proteins or quantum dots within biological samples is disclosed. The use of recombinant genetics technology to insert “reporter” genes into many species is well established. In particular, green fluorescent proteins (GFPs) and their genetically-modified variants ranging from blue to yellow, are easily spliced into many genomes at the sites of genes of interest (GoIs), where the GFPs are expressed with no apparent effect on the functioning of the proteins of interest (PoIs) coded for by the GoIs. One goal of biologists is more precise localization of PoIs within cells. The invention is a method and system for enabling more rapid and precise PoI localization using charged particle beam-induced damage to GFPs. Multiple embodiments of systems for implementing the method are presented, along with an image processing method relatively immune to high statistical noise levels.

Systems have been devised for health management based upon genetic markers. Specifically, systems are arranged to compute genetic risk for several factors relating to metabolism and weight gain in view of various genotypes at particular markers in an individual's genome. An algorithm which depends upon these risk calculations and in further view of the presence of additional variants in the genome under test is executed to arrive at a diet type selection for the particular user. In additions to diet type selections, specific supporting diet related recommendations related to eating behaviors, food reactions and nutritional needs, based upon markers found in the genetic profile, are additionally included in a diet action plan.

The invention discloses an Alzheimer's disease genetic biomarker determination method and system. The Alzheimer's disease genetic biomarker determination method comprises the steps: obtaining magneticresonance imaging data of Alzheimer's disease, and carrying out data expansion processing on the magnetic resonance imaging data; performing two-dimensional slicing on the magnetic resonance imagingdata, and training a preset convolutional neural network by the two-dimensional slicing to obtain a plurality of base classifiers; screening the base classifier, and positioning a feature brain regionof the Alzheimer's disease by combining the base classifier obtained by screening and the brain map; extracting characteristic brain area volume data from the magnetic resonance imaging data; obtaining gene data of the Alzheimer's disease, and obtaining potential genetic biomarkers of the Alzheimer's disease after the gene data and characteristic brain area volume data are subjected to whole genome correlation analysis. The invention provides a new research method and path for early diagnosis of Alzheimer's disease, and can be widely applied to other computer-aided diagnosis fields.

A system and method for combining the model-based and genetics-based methods are combined according to a convergence criterion. When the population is not converged, the genetics-based approach is used, and when the population is converged, the model-based method is used to generate offspring. The algorithm benefits from using a model-based offspring generation only when the population shows a certain degree of regularity, i.e., converged in a stochastic sense. In addition, a more sophisticated method to construct the stochastic part of the model can be used. Also a biased Gaussian noise (the mean of the noise is not zero), as well as a white Gaussian noise (the mean of the noise is zero) can be preferably used for the stochastic part of the model.

The invention discloses an automatic detection method of corn tassel traits. The method comprises the following steps: performing target detection on an acquired farmland corn bottom view image at first to generate a tassel candidate frame to acquire a tassel potential area; subsequently, performing feature description and target detection on the tassel by utilizing a multi-view image characteristic and a Fisher vector coding method so as to confirm an affiliated area of the tassel; further completing the segmentation on tassel fine forms by utilizing semantic segmentation based on a detection result; finally establishing a mapping relation of the image characteristic and seven biomasses, such as length trait, width trait, perimeter trait, diameter trait, tassel color trait, branch quantity trait and total tassel quantity trait which have the physical significance. According to the method, the growth state of the corn tassel can be continuously monitored in real time, so that the detection result is high in correction rate, and the method has the great significance in corn reproductive growth research, corn genomics and genetics research and yield estimation.

The invention provides arrays of oligonucleotide probes for allele specific hybridization wherein at least some of the probes comprise guanine analogues. The invention relates to improved methods of allele specific hybridization to genotype single nucleotide polymorphisms and relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Display of cross-sell advertisements to a user, including, but not limited to, in a social genetics network includes: associating genetic data with product and service categories; accessing specific genetic data of a user to obtain a set of product and service categories associated with the genetic data of the user; analyzing non-genetic data of the user, including past purchase history, and analyzing the genetic data of the user to discover correlations in preferences of the user; selecting one or more desired product and service categories from the set of the product and service categories that match the correlations in the preferences of the user; sending a product or service request to at least one advertiser for a cross-sell advertisement relating to the desired product and service categories; and responsive to receiving the cross-sell advertisement from the advertiser, displaying the cross-sell advertisement on an electronic device of the user.

The invention belongs to the technical field of biological genetics, and relates to a probability statistics model-based biological full-sibling identification method. According to the method, STR locus genotyping is performed on two identified persons so as to obtain the genotyping results of n mutually independent STR loci; and a probability pH0 that the two identified persons are non-consanguinity relation individuals and a probability pH1 that the two identified persons are full siblings can be calculated according to the binomial distribution IBS-B (2n,pi0) of IBSs (identity by states) in a non-consanguinity relation individual pair group and the binomial distribution IBS-B (2n,pi1) of the IBSs in a full-sibling pair group. The probability statistics model-based biological full-sibling identification method of the invention is applicable to any number of STR loci, and has high analysis efficiency, and therefore, the method provided by the technical schemes of the invention has the advantages of broad application prospect and good market potential.

The present invention is in the field of plant biochemistry and genetics. More specifically the invention relates to nucleic acid molecules from plant cells, in particular, genomic DNA sequences from rice plants and nucleic acid molecules that contain markers, in particular, single nucleotide polymorphism (SNP) and repetitive element markers. In addition, the present invention provides nucleic acid molecules having regulatory elements or encoding proteins or fragments thereof. The invention also relates to proteins and fragments of proteins so encoded and antibodies capable of binding the proteins. The invention also relates to methods of using the nucleic acid molecules, markers, repetitive elements and fragments of repetitive elements, regulatory elements, proteins and fragments of proteins, and antibodies, for example for genome mapping, gene identification and analysis, plant breeding, preparation of constructs for use in plant gene expression, and transgenic plants.

Secure network transaction system obtains user-authorized genetic term or bioinformatic profile, and transacts online service according to genetically-based user medical or other risk determined therefrom. Insurance policy, promotional offer, or other service may dynamically address genetically-based condition. Bioinformatic data classifies user per personal mask which filters subset of user genetic sequence. Risk profile may be calculated according to actuarial statistics, genetics and / or heredity using non-discriminatory rules specified for users in temporal or jurisdictional groups. User transactions are modifiable according to bioinformatic data representing genetically-based risk increase or decrease. Data is securely processed, modulated, and stored by network server for remote access and transaction using various portable user devices.

The invention relates to the selection of a collection of relevant single nucleotide polymorphisms across a genome to design a nucleic acid probe array. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

The present invention relates to the field of the communication technology, and provides a PTS technology (GH-PTS) based on the genetic and hill climbing algorithm to reduce the VLC-OFDM system peak-to-average power ratio (PAPB). The technology comprises the following steps: S1, performing parallel of serial data at a sending terminal, and performing IFFT processing; S2, processing data through employing GH-PTS technology; S3, performing emission of the processed data through a LED lamp; S4, performing a solution GH-PTS operation of the data; and S5, performing FFT processing of the data, and performing demodulation output of the data. The PTS technology (GA--PTS) based on the genetic algorithm is combined with the climbing algorithm to improve the local searching optimization capability of the GA-PTS technology. Compared to a traditional PTS technology, the calculation complexity is low. Compared to the GA-PTS technology, the PAPR of the VLC-OFDM system can be effectively reduced in the condition that the BER performance of the VLC-OFDM system is not almost changed.

The invention relates to a scophthalmus maximus T170G single nucleotide polymorphic marking detection method. The method comprises the following steps: extracting scophthalmus maximus genome DNA and diluting for later use; analyzing the sequences of EST, screening the sequence containing a candidate SNP locus, designing a specific primer at the two ends and designing a non-marking probe with the closed 3' end in front of and behind the locus (comprising the locus); performing asymmetric PCR amplification on the scophthalmus maximus group genome DNA by using the primer; hybridizing the amplification product with the non-marking probe with the closed 3' end; and placing the hybrid product on a LightScanner, and detecting and analyzing the melting curve to obtain the genetic polymorphism mapof the scophthalmus maximus. The method is applicable to detection technologies of scophthalmus maximus genetic marking, genealogy authentication, genetic linkage map construction and the like. According to the method which is convenient, quick and accurate, the scophthalmus maximus T170GSNP marked genetic variation map can be obtained quickly; and the genotype of each individual of the scophthalmus maximus can be detected intuitively.

The invention discloses a cerebral stroke warning genetic circuit model which comprises a joint detection circuit module and a feedback circuit module. Output of the joint detection circuit module is input of the feedback circuit module, output of the feedback circuit module acts on the output of the joint detection circuit module via internal feedback branch circuits, and in other words, the feedback circuit module is a next-level circuit of the joint detection circuit module. The cerebral stroke warning genetic circuit model has the advantages that the cerebral stroke warning genetic circuit model is high in structural universality, cerebral stroke can be quickly monitored by the simple and effective joint detection circuit module, interference due to uncertain factors such as environments can be reduced by the introduced feedback circuit module, and accordingly the cerebral stroke can be accurately and reliably warned by systems.

A genetic robot platform and a genetic robot behavior expression method. When a controller of a robot platform driving a genetic robot, which has robot-behavior-expression-related information as gene information and of which an expression behavior is determined according to the gene information, recognizes a stimulation, the controller determines whether there is an instinctive behavior corresponding to the recognized stimulation. When there is an instinctive behavior corresponding to the recognized stimulation, the controller determines whether the recognized stimulation corresponds to the first generated stimulation or a repeatedly-generated stimulation, and determines an instinctive behavior to be expressed according to the recognized stimulation and the number of times of repeated stimulations. Then, the controller enables the robot to perform the instinctive behavior corresponding to the currently-recognized stimulation by expressing the determined instinctive behavior. Accordingly, there is an effect of providing a robot which is implemented to be more similar to real life.

Provided are compositions and methods for use in assembling and expressing a plurality of transcription units using, in one aspect, homologous recombination in yeast. Yeast containing the plurality of transcription units, and isolated transcription units, are also provided. Kits for use in making the yeast and the transcript units are further included.

Systems have been devised for health management based upon genetic markers. Specifically, systems are arranged to compute genetic risk for several factors relating to metabolism and weight gain in view of various genotypes at particular markers in an individual's genome. An algorithm which depends upon these risk calculations and in further view of the presence of additional variants in the genome under test is executed to arrive at a diet type selection for the particular user. In additions to diet type selections, specific supporting diet related recommendations related to eating behaviors, food reactions and nutritional needs, based upon markers found in the genetic profile, are additionally included in a diet action plan.