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5315 results about "Genotype" patented technology

The genotype is the part of the genetic makeup of a cell, and therefore of any individual, which determines one of its characteristics (phenotype). The term was coined by the Danish botanist, plant physiologist and geneticist Wilhelm Johannsen in 1903.

Cry1F and Cry1AC transgenic cotton lines and event-specific identification thereof

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.
Owner:CORTEVA AGRISCIENCE LLC

Cry1F and Cry1Ac transgenic cotton lines and event-specific identification thereof

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.
Owner:CORTEVA AGRISCIENCE LLC

Method and System for Discovering Ancestors using Genomic and Genealogic Data

InactiveUS20170213127A1Reduced travel tendencyReduce in quantityData visualisationBiostatisticsCommon ancestryGenotype
Described invention and its embodiments, in part, facilitate discovery of ‘Most Recent Common Ancestors’ in the family trees between a massive plurality of individuals who have been predicted to be related according to amount of deoxyribonucleic acids (DNA) shared as determined from a plurality of 3rd party genome sequencing and matching systems. This facilitation is enabled through a holistic set of distributed software Agents running, in part, a plurality of cooperating Machine Learning systems, such as smart evolutionary algorithms, custom classification algorithms, cluster analysis and geo-temporal proximity analysis, which in part, enable and rely on a system of Knowledge Management applied to manually input and data-mined evidences and hierarchical clusters, quality metrics, fuzzy logic constraints and Bayesian network inspired inference sharing spanning across and between all data available on personal family trees or system created virtual trees, and employing all available data regarding the genome-matching results of Users associated to those trees, and all available historical data influencing the subjects in the trees, which are represented in a form of Competitive Learning network. Derivative results of this system include, in part, automated clustering and association of phenotypes to genotypes, automated recreation of ancestor partial genomes from accumulated DNA from triangulations and the traits correlated to that DNA, and a system of cognitive computing based on distributed neural networks with mobile Agents mediating activation according to connection weights.
Owner:DUNCAN MATTHEW CHARLES

Method for identifying polymorphic markers in a population

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.
Owner:BEACON VENTURE MANAGEMENT +1

System and Methods for Pharmacogenomic Classification

InactiveUS20140222349A1Good statistical effectDataset can also become very largeBiostatisticsProteomicsGenomicsLearning machine
The invention provides a system and methods for the determination of the pharmacogenomic phenotype of any individual or group of individuals, ideally classified to a discrete, specific and defined pharmacogenomic population(s) using machine learning and population structure. Specifically, the invention provides a system that integrates several subsystems, including (1) a system to classify an individual as to pharmacogenomic cohort status using properties of underlying structural elements of the human population based on differences in the variations of specific genes that encode proteins and enzymes involved in the absorption, distribution, metabolism and excretion (ADME) of drugs and xenobiotics, (2) the use of a pre-trained learning machine for classification of a set of electronic health records (EHRs) as to pharmacogenomic phenotype in lieu of genotype data contained in the set of EHRs, (3) a system for prediction of pharmacological risk within an inpatient setting using the system of the invention, (4) a method of drug discovery and development using pattern-matching of previous drugs based on pharmacogenomic phenotype population clusters, and (5) a method to build an optimal pharmacogenomics knowledge base through derivatives of private databases contained in pharmaceutical companies, biotechnology companies and academic research centers without the risk of exposing raw data contained in such databases. Embodiments include pharmacogenomic decision support for an individual patient in an inpatient setting, and optimization of clinical cohorts based on pharmacogenomic phenotype for clinical trials in drug development.
Owner:ASSUREX HEALTH INC
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