5366 results about "Genotype" patented technology

This invention relates to plant breeding and the protection of plants from insects. More specifically, this invention includes novel transformation events of cotton plants comprising one or more polynucleotide sequences, as described herein, inserted into specific site(s) within the genome of a cotton cell. In highly preferred embodiments, said polynucleotide sequences encode “stacked” Cry1F and Cry1Ac lepidopteran insect inhibitory proteins. However, the subject invention includes plants having single cry1F or cry1Ac events, as described herein. Additionally, the invention is related to cotton plants derived from that transformation event and to assays for detecting the presence of the event in a sample. More specifically, the present invention provides DNA and related assays for detecting the presence of certain insect-resistance events in cotton. The assays are based on the DNA sequences of recombinant constructs inserted into the cotton genome and of the genomic sequences flanking the insertion sites. These sequences are unique. Based on these insert and border sequences, event-specific primers were generated. PCR analysis demonstrated that these cotton lines can be identified in different cotton genotypes by analysis of the PCR amplicons generated with these event-specific primer sets. Thus, these and other related procedures can be used to uniquely identify these cotton lines. Kits and conditions useful in conducting the assays are also provided. These materials and methods can also be used to assist breeding programs to further develop traits in cotton.

A method is provided for the identification of polymorphic markers in a population. The method includes genotypically characterizing a first sample of a population, selecting one or more individuals of the first sample based upon the genotypic characterization, fabricating a microarray with genomic DNA from each individual selected, and genotyping a second sample of the population using each fabricated microarray as a reference, thereby identifying the polymorphic markers in the population. Also provided is a method for the identification of polymorphic markers in a bacterial population. The method includes phenotypically characterizing a first sample of a population, selecting one or more individuals of the first sample based upon the phenotypic characterization, fabricating a microarray with genomic DNA from each individual selected, and genotyping a second sample of the population using each fabricated microarray as a reference, thereby identifying the polymorphic markers in the population. Also provided is a method for identifying unique bits among a plurality of bit strings including providing a plurality of bit strings, wherein each string has the same number and position of bits, and each bit has a value of 0 or 1, generating a graphical representation-including selectable elements-representing the relatedness of the bit strings, making a selection of a first selectable element, making a selection of a second selectable element, and identifying bits that are present in each bit string represented by the first selectable element and absent in each bit string represented by the second selectable element, or vice-versa.

A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data, The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and / or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Gamete donor selection includes receiving a specification including a phenotype of interest, receiving a genotype of a recipient and a plurality of genotypes of a respective plurality of donors, determining statistical information pertaining to the phenotype of interest based at least in part on different pairings of the genotype of the recipient and a genotype of a donor in the plurality of donors, and identifying a preferred donor among the plurality of donors, based at least in part on the statistical information determined.

The invention provides seed and plants of broccoli hybrid PS05151639 and the parent lines thereof. The invention thus relates to the plants, seeds and tissue cultures of broccoli hybrid PS05151639 and the parent lines thereof, and to methods for producing a broccoli plant produced by crossing such plants with themselves or with another broccoli plant, such as a plant of another genotype. The invention further relates to seeds and plants produced by such crossing. The invention further relates to parts of such plants.

The invention provides seed and plants of broccoli hybrid PX 05181808 and the parent lines thereof. The invention thus relates to the plants, seeds and tissue cultures of broccoli hybrid PX 05181808 and the parent lines thereof, and to methods for producing a broccoli plant produced by crossing such plants with themselves or with another broccoli plant, such as a plant of another genotype. The invention further relates to seeds and plants produced by such crossing. The invention further relates to parts of such plants.

The invention provides a method for single cell classification and screening and a device therefor. The method comprises the following steps of carrying out comparison of reads obtained by sample sequencing and a reference genome, carrying out data filtration of a comparison result, determining a consistent genotype of all single cell samples according to filtered data, saving the consistent genotype of the all single cell samples into a SNP data set, extracting genotype files of loci corresponding to reference genome SNP data set positions from the saved SNP data set, selecting a cell mutation SNP locus, and carrying out cell classification and functional gene screening according to a genotype file of the cell mutation SNP locus. The method and the device avoid cell marking, solve the problem that the traditional single cell classification method can not realize classification of a certain cell subset having no corresponding specific markers, realize complete analysis of genetic variation information of a single cell genome, and greatly improve the accuracy of cell subset classification.

The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.

The present invention relates to methods for preventing or treating of metabolic disorders and related conditions, such as in certain patient groups.