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341 results about "Tandem repeat" patented technology

Tandem repeats occur in DNA when a pattern of one or more nucleotides is repeated and the repetitions are directly adjacent to each other. Several protein domains also form tandem repeats within their amino acid primary structure, such as armadillo repeats. However, in proteins, perfect tandem repeats are unlikely in most in vivo proteins, and most known repeats are in proteins which have been designed.

Methods and systems for identification of DNA patterns through spectral analysis

Spectrogram extraction from DNA sequence has been known since 2001. A DNA spectrogram is generated by applying Fourier transform to convert a symbolic DNA sequence consisting of letters A, T, C, G into a visual representation that highlights periodicities of co-occurrence of DNA patterns. Given a DNA sequence or whole genomes, with this method it is easy to generate a large number of spectrogram images. However, the difficult part is to elucidate where are the repetitive patterns and to associate a biological and clinical meaning to them. The present disclosure provides systems and methods that facilitate the location and/or identification of repetitive DNA patterns, such as CpG islands, Alu repeats, tandem repeats and various types of satellite repeats. These repetitive elements can be found within a chromosome, within a genome or across genomes of various species. The disclosed systems and methods apply image processing operators to find prominent features in the vertical and horizontal direction of the DNA spectrograms. Systems and methods for fast, full scale analysis of the derived images using supervised machine learning methods are also disclosed. The disclosed systems and methods for detecting and/or classifying repetitive DNA patterns include: (a) comparative histogram method, (b) feature selection and classification using support vector machines and genetic algorithms, and (c) generation of spectrovideo from a plurality of spectral images.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV

Kinship analysis program for missing persons and mass disaster

A kinship analysis program for missing persons and mass disasters for kinship and missing persons analyses. The inventive device includes consensusG, Kinship Indices, Matching, cross-checking, pedigree that performs the following: Extract a list of unique victims' genotypes from the remains or missing persons database, make perfect matches to personal effect, identify next-of-kin related to a victim, make matches through parentage trios, confirm consistency of family pedigrees, exclude nearly all fortuitous hits on the basis of the SM scoring performance of the entire family of the relative that triggered the fortuitous hit, make matches despite the known existence of errors in sample names and reported relationships, flag samples with inconsistent reported relationships, display matches in their context, so that “close-calls” are brought to the attention of the data reviewer. An algorithm which reduces very large collections of complete/partial STR (Short Tandem Repeats) genotypes derived from the remains down to a restricted number of consensus genotypes believed to reflect the many different victims. An algorithm which calculates Kinship Indices through a segregated score approach and likelihood ratio calculations through a linkage to the KinTest software. An algorithm which contrasts the consensus genotypes against the data set of genotypes from next-of-kin and personal effects for direct matches to personal effects, for evidence of genetic relatedness to kin through the Kinship Indices, or for successful production of a parentage trio with any two members of the next-of-kin cohort. An algorithm which cross-checks matches to parentage trios against other kinship scoring results between the victim and other members of the same family to confirm that the purported family structure is consistent with Mendelian inheritance rules. A schematic diagram describing the relationship of the relatives to a matched victim. A user interface that is accessible to a broader range of users.
Owner:SEARS CHRISTOPHER P +1

Method for detection of insertion deletion mutation based on second generation sequencing, device and storage medium

The present application discloses a method for detection of insertion deletion mutation based on second generation sequencing, a device and a storage medium. The method comprises the following steps:comparing a sample to be tested with a file of a reference genome to extract a set of candidate mutation sites with mutation allele frequency being greater than or equal to a threshold; filtering to remove sites in a short tandem repeat region; making detail statistics of comparison information of the mutation sites and comparison information surrounding the mutation sites, wherein the comparisoninformation includes InDel site and reference base support number, comparison quality, coverage depth, surrounding non-reference base and other insertion deletion mutations, surrounding read quality;and filtering to remove sites that do not reach the set threshold according to statistical information to obtain mutation results. The method does not require partial assembly, and filters second-generation sequencing data in advance to quickly eliminate most of false positive results caused by the comparison, reduces detection running time and computing resources, improves detection efficiency, has strong sensitivity and specificity, and can quickly and accurately detect InDel mutations.
Owner:深圳裕策生物科技有限公司
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