22 results about "Genetic samples" patented technology

The invention discloses a sample data expansion method and device for whole genome selection, equipment and a medium, and the sample data expansion method for whole genome selection comprises the steps: obtaining real genotype data of a target crop in a historical crop breeding process and phenotype data corresponding to the real genotype data, generating an initial sample set according to the real genotype data and the phenotype data; based on linkage feature information of the real genotype data, performing segment segmentation on initial gene sample data in the initial sample set, and performing segment replacement on segmented gene segments based on auxiliary gene sample data to generate a mixed gene sample; and training a pre-constructed crop prediction model based on the mixed gene sample and the initial sample set. According to the technical scheme, the prediction efficiency of crop character prediction and the reliability of the prediction result are improved.

The utility model provides a gene sample storage cabinet quick to take and use, which relates to the technical field of storage cabinets and comprises a storage cabinet body, a guide rail is fixedly mounted in the storage cabinet body, a placement frame is slidably connected in the guide rail, pulleys are rotatably connected to two sides of the placement frame, a mounting plate is in contact connection with the surface of the placement frame, and the mounting plate is in contact connection with the guide rail. According to the sample test tube taking device, batch taking of sample test tubes is achieved through the arrangement of the guide rails, the placement frame, the pulleys and the mounting plate, the working efficiency is improved, fixing of the sample test tubes is achieved through the mounting rings, the supporting cylinders, the limiting rods, the springs, the pushing blocks and the rubber blocks, and the risk that the sample test tubes topple when touching the surrounding test tubes during taking is avoided; the angle of the test tube rack can be adjusted through a fixing block, a limiting circular ring, a tension spring, a rotating disc and a limiting block, the situation that the working efficiency is reduced due to the fact that the angle is inconvenient to take is avoided, the taking time is shortened, and the working efficiency is improved.

The invention discloses a gene detection sample oscillation mixing device capable of accurately controlling the speed, and relates to the technical field of gene sample detection, the gene detection sample oscillation mixing device comprises a device host and a driving member, and is characterized in that the driving member is vertically embedded in the device host, and the top power output end of the driving member is horizontally connected with a rotating frame member. According to the gene detection sample oscillation mixing device capable of accurately controlling the speed, the oscillation frequency and amplitude can be accurately controlled according to preset parameters through a high-precision speed sensor and an intelligent regulation and control system which are arranged in the device host. And the driving component adopts an advanced motor driving technology, so that the stability and high efficiency of power output are ensured. And the rotating frame component is designed into an adjustable structure and can be flexibly adjusted according to the sizes of different sample containers, so that the uniformity of oscillation mixing is ensured. And the clamping component is made of a soft and elastic material, so that the sample container can be firmly clamped, and the damage to the sample in the oscillation process can be avoided.

Various embodiments disclosed relate to a method of quality control for genetic samples. A method may receive a first variant call file, comparing the first variant call file to a second variant call file across a predetermined set of single nucleotide polymorphisms; and determining whether the first variant call file and the second variant call file originate from the same individual by determining whether at least a threshold amount of single nucleotide polymorphisms within the predetermined set match between the first variant call file and the second variant call file.

The invention relates to a gene marker detection method based on a terahertz signal, which comprises the following steps: irradiating a to-be-detected gene sample by using a terahertz pulse, and acquiring the terahertz signal generated after the gene sample is reflected; performing denoising processing on the terahertz signal to obtain a denoised terahertz signal; establishing a database according to a signal of a known gene marker in a terahertz wave band; comparing the current gene sample with the terahertz signal of the gene marker in the database to obtain a similar value; and when the similarity value exceeds a preset threshold value, determining that the current gene sample has a corresponding gene marker. According to the method, the specific terahertz signal database of the gene markers is established, and the current gene sample is compared with the terahertz signals of the gene markers in the database, so that the requirements of clinical and laboratory on rapid detection of the gene markers can be met, and the detection accuracy and reliability are greatly improved.

A method of determining whether a lesion in a subject is melanoma or melanocytic nevus, the method comprising: receiving a genetic sample from the lesion; detecting in the sample the presence of gene alterations in each of the following genes: noncoding mutations in pTERT, RPL13A and SMUG1, wherein the presence of gene alterations in one or more genes indicates that the individual has melanoma.

In some embodiments, a method for verifying genetic samples using contextual metadata can include receiving at least one genetic sample, identifying one or more contextual parameters associated with the at least one genetic sample, obtaining one or more etches selected from a set of etches to encode the one or more contextual parameters, and pooling the one or more etches with the at least one genetic sample in a sample environment, wherein pooling prevents binding of the one or more etches to the at least one genetic sample.

The invention provides an acceleration method and device for gene detection and electronic equipment, and relates to the field of biological information.The method mainly comprises the steps that a first variation data set and a second variation data set are obtained according to a first gene sample set; and obtaining a variation quality control model according to the second variation data set, and processing the first variation data set according to the variation quality control model to obtain a first variation detection result corresponding to the first variation data set. According to the technical scheme, the temporary interval information is utilized to divide the variation detection data into the first variation data set and the second variation data set, so that interval processing is directly oriented during subsequent application of quality control, and the speed-up calculation effect is achieved. Compared with the conventional method of re-splitting data and allocating tasks when quality control is applied, the method has the advantages that the time consumption of detection is reduced, and the analysis and calculation efficiency of the population genome is effectively improved.

The application provides a multiplex real-time fluorescent PCR reaction system based on probe differentiation design, corresponding fluorescent probes are designed based on target genes, the fluorescent probes are labeled with 1-3 fluorescent groups and 1-3 quenching groups, and the number and / or labeling position of the fluorescent groups and / or quenching groups carried by the fluorescent probes of different target genes are different. The reaction system can further carry multi-dimensional data analysis and a neural network model based on experience learning, unknown sample target gene sample types can be quickly and accurately judged, and accurate differentiation of multiple target genes in a single fluorescent channel can be realized.

A learning propensity information determination system based on genetic test information, according to one embodiment, comprises: a basic information generation unit for generating basic information by receiving information about a testee; a genetic test information generation unit for generating genetic information by analyzing a genetic sample of the testee; and a learning propensity information determination unit for generating cognitive category learning propensity information on the basis of the genetic information, generating non-cognitive category learning propensity information on the basis of the genetic information and the basic information, and generating learning propensity information by integrating the cognitive category learning propensity information and the non-cognitive category learning propensity information.

The application discloses a gene sample low-temperature storage transfer box, and relates to the technical field of gene sample storage and transfer devices.The gene sample low-temperature storage transfer box comprises a placing device, a taking-out device and a refrigeration device, the taking-out device is installed in the interior of the placing device, the taking-out device is used for assisting the smooth taking-out of the gene sample in the placing device, and the refrigeration device is used for adjusting the storage environment of the gene sample.The application has the following advantages: the position of the positioning arc plate can be adjusted according to the size and model of the vessel to be stored, the surface of the positioning arc plate is tightly combined with the outer surface of the vessel through the extrusion of the spring, the clamping and fixing of the vessel are completed, the position of the ejection plate is lifted by the adjusting frame when the vessel needs to be taken out and detected, and the vessel is ejected, so that the vessel can be conveniently taken out.

The invention discloses an endogenous circadian rhythm disorder quantification method and a related gene cluster detection method, and the method comprises the steps: collecting data, carrying out the normalization processing of the data, calculating the average expression of a gene sample, carrying out the statistics of the occurrence frequency of a circadian rhythm related gene, and distributing a weighted sampling probability. And performing centralization processing on the normalized matrix, calculating a random background score, calculating an observation score, and further calculating a rhythm disorder quantitative index score. According to the related gene cluster detection method, a rhythm disorder quantitative index scoring sample is taken as an input object, and a key gene cluster and a signal network occurring in the conversion process of a system from a steady state to a pathological state are analyzed and identified through a network. Rhythm disorder quantitative index scoring and related gene cluster detection methods cooperate with each other, so that quantitative and mechanical analysis of the circadian rhythm disorder state of the colorectal cancer patient can be realized. Scientific basis and clinical application potential are provided for molecular typing, risk assessment and potential target screening of colorectal cancer.

Genetic samples are obtained from separate people, and at least a portion of each are purposefully combined before testing to form a pooled genetic sample. The pooled genetic sample is tested for the presence of a signature for a given known ailment. DNA identification uses discovered InDels in a region of InDel variation in a genetic sample. A pair-wise comparison is performed to reference InDels, and a distance is measured between the first InDel and the reference Indel. Reference kmers are identified in a reference genome, and in a test sample. The plurality of sample kmers are filtered to those which have a 1 edit distance from a corresponding one of the plurality of reference kmers. Reads that have kmers that do not have a 1 edit distance from the corresponding one of the plurality of reference kmers are identified, and multiple single-mutations are eliminated from candidate InDel reads.

The invention relates to a device (1, 101) for detecting a genetic sample, comprising a housing (10, 110), a control unit (20, 120), a temperature control unit (30, 130) with a heating element, an illumination unit (40, 140) and a detection means, the control unit, the temperature control unit, the illumination unit and the detection means being arranged within the housing (10, 110), and a sample holding element being arranged within the housing (10, 110). The device (1, 101) further comprises a vortex centrifugation unit (50, 150) having a drive unit and a rotatable sample holding tray (55, 155) connected to the drive unit and provided with the sample holding element, wherein an oscillation element (57, 157) is provided in the center of the sample holding tray (55, 155). The housing (10, 110) consists of a first housing part (11, 111) and a second housing part (12, 112), which are separated by a partition wall (15, 115).

The invention discloses a heterogeneous multi-omics cancer prognosis prediction method based on a meta path. The method comprises the following steps: designing a gene expression level discrimination strategy to measure the gene expression level of a sample, and constructing a single omics gene-sample heterogeneous network; a sample similar network is constructed from multiple angles, firstly, a meta-path semantic division method is designed to construct a sample similar network based on meta-paths, nonlinear and high-order relationships among samples are captured, and secondly, a sample similar network based on Pearson's correlation coefficients is constructed; a similar network fusion method is introduced for fusion to obtain a double-sample similar network, and more accurate sample similarity is captured; a graph enhancement method based on class domain division is provided, and a more accurate sample similar network is obtained through sample adjacency matrix optimization based on class domain division; and finally, designing a multi-omics GCN to capture inter-omics information, and classifying samples by using an MLP. Multiple omics data such as miRNA, DNA methylation and mRNA can be integrated, and a good result can be obtained in downstream tasks such as cancer subtype typing.

In some embodiments, a method for verifying genetic samples using contextual metadata can include receiving at least one genetic sample, identifying one or more contextual parameters associated with the at least one genetic sample, obtaining one or more etches selected from a set of etches to encode the one or more contextual parameters, and pooling the one or more etches with the at least one genetic sample in a sample environment, wherein pooling prevents binding of the one or more etches to the at least one genetic sample.

Methods and systems for processing semen samples from straws for determining genetic identity, testing the purity of the sample, detecting errors or contamination, calculating an amount of contamination, and determining the identity of the contaminant. The methods herein can detect low levels of contamination, such as contamination of about 0.5%, 1%, 2%, etc.

The application discloses a gene selection method based on biological character expression of multi-target feature selection, which comprises the following steps: step 1, inputting biological gene samples; step 2, grouping features of the input gene samples and generating a sub-population for each group; step 3, independently evolving each sub-population; step 4, gradually merging all the sub-populations; and step 5, finally merging all the sub-populations into one population, searching on the original genes, finally obtaining the best partial genes on the original gene set in expression effect, and taking the partial genes as the finally selected genes. The application can screen a small number of important genes from a large number of gene features, thereby effectively improving the accuracy of gene selection of high-dimensional biological character expression, and is also beneficial to shortening a research period and reducing research cost.

The utility model discloses a preservation device for a drug-resistant gene sample of carbapenem-resistant enterobacter. The device comprises an outer box body and a box cover, an inner box body is arranged on the inner side of the outer box body at intervals, a plurality of semiconductor chilling plates are embedded in the inner box body, a partition plate is fixed to the upper end of the inner box body, a plurality of through holes allowing test tubes to be inserted are formed in the partition plate, and a hole sealing assembly is fixed to the position, on one side of each through hole, of the lower side of the partition plate; the hole sealing assembly comprises a connecting base and a hinged sealing cover, and a torsion spring is arranged between the sealing cover and the connecting base. According to the test tube storage box, the hole sealing assembly is arranged on the partition plate, the sealing plate of the hole sealing assembly can automatically seal the through hole after the test tube is taken out, cold air in the inner box body is prevented from leaking outwards, it is guaranteed that air in the inner box body cannot be rapidly reduced in the test tube taking and placing period, and therefore adverse effects on gene sample storage are avoided; the interior of the inner box body is cooled through the semiconductor chilling plate, the semiconductor chilling plate is free of noise and vibration during working, and use is convenient.

Embodiments of the present application disclose a kind of based on gene and cell relationship's graph network construction method and device, the method includes: obtaining gene and cell in multiple samples, respectively carry out feature screening to gene and cell in each sample, obtain the gene and cell for indicating the characteristics of each sample;According to the gene and cell for indicating the characteristics of each sample, gene sample graph network and cell sample graph network are respectively constructed, and the importance of each node feature in the two sample graph networks is calculated respectively;According to the gene and cell that there is interaction relationship, and the importance of each node feature in the two sample graph networks, construct initial factor graph network;According to the adjacency matrix of factor graph network, whether there is other gene and cell that exists interaction relationship in factor graph network is predicted, and factor graph network is updated based on the gene and cell predicted.The present application solves the problem that gene and cell interaction relationship cannot be qualitatively and quantitatively analyzed in related art.

The present invention relates to a device (1, 101) for testing genetic samples, said device comprising a housing (10, 110), a control unit (20, 120), a temperature control unit (30, 130) with a heating element, an illumination unit (40, 140) and a detection means, which are arranged inside the housing (10, 110), and a sample holding elements arranged in the housing (10, 110). The device (1, 101) further comprises a vortex-centrifugation unit (50, 150) having a drive unit and a rotatable sample holding tray (55, 155) connected to the drive unit and provided with the sample holding elements, wherein a shaking element (57, 157) is provided on the centre of the sample holding tray (55, 155). The housing (10, 110) consists of a first housing part (11, 111) and a second housing part (12, 112) separated by a partition wall (15, 115).

The present invention belongs to the field of bioinformatics and discloses a method for predicting kinase-specific substrate proteins that regulate yeast autophagy. The method comprises the following steps: S1: performing temporal transcriptome, proteome, and phosphoproteomic analysis on normal samples, gene knockout samples, and plasmid complementation samples before and after starvation induction; S2: screening for interacting genes, recorded as set A; S3: extracting the transcriptional expression changes, protein expression changes, phosphorylated protein expression changes, and the protein sequence composition corresponding to each gene in set A as features; S4: establishing and training a prediction model; S5: optimizing the model and scoring the genes to predict kinase-specific substrate proteins that regulate yeast autophagy. The method of the present invention can predict kinase-specific substrate proteins that regulate yeast autophagy before traditional experimental verification, effectively narrowing the screening scope and reducing the workload of experimental verification.