994 results about "Genetic testing" patented technology

The invention relates to the technical field of genomics, in particular to a gene detection data cleaning method and system based on artificial intelligence. The method comprises the following steps: acquiring gene detection data, and performing preliminary filtering on the gene detection data based on removal of low-quality reads to obtain preliminary filtering data; performing linker sequence identification and removal on the preliminarily filtered data, and performing sequencing error correction to generate gene sequence data; performing GC content analysis and repetitive sequence identification on the gene sequence data to obtain sequence feature data; performing dynamic quality threshold adjustment according to the sequence feature data, and performing secondary filtering on the gene sequence data to generate high-quality sequence data; and performing sequence pattern recognition on the high-quality sequence data to obtain sequence pattern feature data. According to the method, deep analysis is carried out by utilizing sequence characteristics such as GC content and nucleotide distribution, and the recognition capability on sequence complexity and variation modes is improved.

The invention provides a genetic disease gene detection data analysis method and system based on big data, and relates to the technical field of gene detection data analys.The genetic disease gene detection data analysis method comprises the steps that quality control and duplicate removal are conducted on gene sequencing original data, sequence comparison and variation detection are conducted, and a standard variation detection report is generated; performing multi-scale feature sampling and optimization by using an improved random field diffusion model, inputting high-dimensional feature distribution into a dual self-activation iterative network for feature extraction and integration to obtain a feature mapping matrix and a feature evolution trajectory, and inputting the feature mapping matrix and the feature evolution trajectory into an integrated predictor to obtain an integrated predictor; and in combination with Gaussian mixture process regression analysis and an improved Bayesian reasoning network, establishing a risk association network and training a deep hierarchical decision tree, and outputting a multi-dimensional risk assessment report.

The invention relates to the technical field of nutrition health care product customization, and discloses a personalized adult nutrition health care product customization system and method. The method comprises the following steps: collecting biological characteristics, dietary habits, health targets and gene detection data of a user, and constructing a nutritional requirement database through labeling and preprocessing; a multi-dimensional nutrition demand tensor is generated through principal component analysis, clustering analysis and the like, the matching degree of a target user and a representative sample is calculated, a weighted matching degree vector is obtained through neural network optimization, and then a personalized nutrition formula substrate is generated and optimized through a genetic algorithm. Kalman filtering is used for adjusting a formula according to real-time health data of a user, monitoring deviation to trigger reconstruction, associating a historical scheme to update a nutrition rule base, and finally outputting a nutrition formula coded as a production instruction, so that accurate personalized customization is realized, and nutrition is safe, reasonable and traceable.

The invention relates to the field of chronic disease early warning, and discloses a chronic disease early warning intervention system based on artificial intelligence, and the system comprises a data collection module which is used for collecting multi-modal data, and the multi-modal data comprises gene detection data, proteomics data, microbiomics data, environment data and social economic data; the pre-processing module is used for pre-processing the multi-modal data to obtain basic data, and the pre-processing comprises noise removal, abnormal value and missing value processing and targeted data cleaning and feature extraction operation on the data of different modals; and a conversion fusion module. Through cooperative operation of all the modules, a complete and automatic chronic disease early warning intervention process is formed, an organic whole is formed from data acquisition, risk assessment and intervention measure formulation and implementation, and the chronic disease risk whole process management and control are achieved, so that the chronic disease prevention and treatment efficiency and effect are improved.

The invention discloses a lung cancer gene mutation classification method based on frequency domain multi-scale fusion guidance, and relates to the technical field of medical image processing and gene detection. According to the MFHA mechanism provided by the invention, the pathological image is decoupled into low-frequency global and high-frequency detail sub-bands through wavelet transform, and extraction of key high-frequency features such as cell nucleus morphology and local texture is enhanced by combining multi-scale convolution and up-sampling guided by high-frequency information; the problems of insufficient feature detail mining and low feature fusion efficiency in a traditional pathological image analysis method are solved; key features are screened and focused through a channel, frequency domain-space feature deep fusion is realized through up-sampling, robust representation is constructed by combining space attention with cosine similarity and multi-dimensional statistical features, a frequency domain analysis-space focusing collaborative optimization mechanism is formed, information redundancy caused by simple feature splicing is avoided, and the robustness of the system is improved. And the classification stability of the model in a complex pathological scene is improved.

The invention relates to the technical field of DNA fragment data processing, in particular to a DNA fragmentation gene detection data processing method based on artificial intelligence. Segmenting the DNA fragmentation detection data into a plurality of local data blocks, and executing continuous homology analysis on each local data block; dynamic weights are distributed to annular and branch structures in the multi-scale topological feature matrix by using an attention mechanism; extracting a base correlation mode of a base sequence in the DNA fragmentation detection data through one-dimensional convolution to obtain sequence features; performing tensor splicing on the weighted topological features and the sequence features in a hidden space; performing coarse-grained classification on the fused high-order feature vectors through a multi-layer perceptron, and outputting a preliminary classification result; and constructing a lightweight neural network sub-module based on the preliminary classification result to obtain a final classification result, thereby effectively improving the accuracy and interpretability of the classification result.

The invention discloses a gene detection system for an algae biological gene, and relates to the technical field of gene detection, the gene detection system for the algae biological gene comprises a sample collection module, a feature extraction module, an amplification module, a sequencing module, an analysis module and a report module, according to the system, the accuracy and comprehensiveness of environmental data are ensured through an efficient sampling method of the sample collection module and fine data processing of the feature extraction module, and the sensitivity and accuracy of gene data are improved through efficient gene processing and sequencing technologies of the amplification module and the sequencing module. And finally, an integrated calculation method of an analysis module and visual display of a report module enable gene anomaly detection to be more accurate and timely, a user can make scientific intervention conveniently, the system can evaluate the gene state of algae organisms more comprehensively by integrating different data sets, and compared with single data set analysis, the system has the advantages that the analysis efficiency is improved, and the system is more convenient to use. And a more accurate and comprehensive evaluation result can be provided.

The invention discloses a pulmonary nodule risk prediction method, system and device based on a large model, and a medium, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of insufficient generalization ability of a network model and poor pulmonary nodule multi-task prediction effect in the prior art. The method comprises the following steps: acquiring sample data of multiple modalities including medical images, gene detection and demographic data; single-mode features are obtained through an exclusive feature extraction module, and then the single-mode features are input into a plurality of expert networks to obtain single-mode experts; obtaining a multi-modal feature after the single-modal feature passes through a cross-modal attention module, and inputting the multi-modal feature into a plurality of expert networks to obtain a plurality of multi-modal experts; the three task MoE modules are all provided with task gating networks in a matched mode, and the task MoE modules select the most appropriate expert set according to the calculated probability that each expert is activated; acquiring to-be-predicted data, inputting the to-be-predicted data into the selected expert set, and outputting malignant, growth and wettability risk prediction results of the pulmonary nodules by the task model.

The invention discloses an evidence optimization method and device based on a Bayesian model, computer equipment and a storage medium, and relates to the technical field of medical care informatics. The method comprises the following steps: acquiring a text file containing a variation classification result; calculating posterior probabilities corresponding to 17 evidence combinations given by the ACMG / AMP guide, and when selected evidence combination rules meet posterior probability classification, obtaining theoretical pathogenicity probabilities corresponding to the evidence intensity grades; finely classifying the clinical significance unknown variation VUS into six levels; determining thresholds corresponding to different evidence intensity grades by comparing the positive likelihood ratio or the local positive likelihood ratio with the theoretical pathogenicity probability corresponding to each evidence intensity grade; and the variation is marked with an ACMG / AMP evidence label again, and a pathogenicity classification result of the variation is given. According to the method, the evidence optimization difficulty can be reduced, and the accuracy and consistency of genetic variation interpretation in clinical gene detection can be improved.

The invention discloses a kit for gene detection of intestinal bacteria and a use method, and relates to the technical field of gene detection.The kit comprises a detection box, a storage plate and a test tube rack are arranged in the detection box, the test tube rack is circular, detection test tubes are annularly distributed on the test tube rack in an inserted mode, and the test tube rack is connected with a space installation mechanism and a positioning mechanism; a reagent filling mechanism and a centrifugal posture control mechanism are arranged on the storage plate, the space installation mechanism comprises a first positioning ball fixedly connected with the bottom support, the center of the test tube rack is installed in cooperation with the outer ring of the first positioning ball, a plurality of arc-shaped racks are annularly distributed on the edge, matched with the test tube rack, of the storage plate, and arc-shaped sliding grooves are formed in the arc-shaped racks; the test tube rack and the arc-shaped sliding groove are installed in a sliding mode, the test tube rack is further connected with a rotation driving assembly, multi-angle centrifugal control over the detection test tubes is achieved through the rotation driving assembly and the centrifugal posture control mechanism, and the mixing effect of florae and reagents in the detection test tubes is effectively improved.

The invention discloses a human body electrocardio R wave detection method, and relates to the technical field of electrocardio signal detection.The system comprises the following components of gene expression data and electrocardio signal collection, specifically, gene expression level information of an individual whole genome is obtained through a gene detection technology, meanwhile, electrocardio signals are collected through a multi-channel electrocardio sensor, and the gene expression data and the electrocardio signals are obtained; according to the method, by introducing the gene expression data, personalized electrocardiogram R wave detection can be carried out on an individual with the tendency of specific gene variation or family genetic cardiovascular diseases, the conventional characteristics of the electrocardiogram signals are considered, information of the gene level is combined, and the method has the advantages of being high in accuracy and high in accuracy. Therefore, R waves can be recognized more accurately, false detection and missing detection are reduced, and the method has important significance in improving the accuracy of cardiovascular disease diagnosis, finding cardiovascular abnormality in an early stage and formulating a personalized treatment scheme.

The present invention discloses the application of a molecular marker methylation level detection reagent for primary hepatocellular carcinoma in the preparation of a detection reagent product, and belongs to the field of gene detection technology. By screening the methylation level of the CpG site in the detected region and its reverse complementary sequence, it is identified whether the target sample is from a primary hepatocellular carcinoma patient. The methylation level of the CpG site in the above region has good sensitivity and specificity for the screening or auxiliary diagnosis of primary hepatocellular carcinoma, and can be used to distinguish samples from patients with primary hepatocellular carcinoma, samples from patients with benign liver diseases (cirrhosis, hepatitis, etc.) and samples from healthy people. The detection reagent and application of the methylation level of the molecular marker can improve the detection rate of early primary hepatocellular carcinoma.

The invention discloses a primer group, a kit and a method for detecting brucella, and belongs to the technical field of gene detection. The primer group comprises two pairs of specific RPA (recombinase polymerase amplification) primers: a primer pair B1F1 (SEQ ID No.3) and a primer pair B1R1 (SEQ ID No.6) targeting a B1 sequence, and a primer pair B2F1 (SEQ ID No.8) and a primer pair B2R1 (SEQ ID No.11) targeting a B2 sequence. The invention also provides a kit containing the primer group, and a detection method based on the RPA-CRISPR-Cas12a. The invention also provides a kit containing the primer group and a detection method based on the RPA-CRISPR-Cas12a. According to the application, the high efficiency of RPA amplification is combined with the ultrahigh specificity of CRISPR-Cas12a detection, the defects of long time consumption, low sensitivity and easy generation of false positive in the traditional method are overcome, rapid, sensitive and specific detection of Brucella is realized, and the application has important application value in early screening and monitoring of Brucella.

The invention provides a composition, a kit and a detection method for detecting staphylococcus aureus or a drug-resistant gene thereof based on RPA-CRISPR / Cas12a and application of the composition, the kit and the detection method, and belongs to the technical field of gene detection. A CRISPR / Cas12a system is combined with recombinase polymerase amplification (RPA), an RPA-CRISPR / Cas12a detection method for rapidly detecting the staphylococcus aureus in the wastewater and the drug-resistant gene of the staphylococcus aureus is established, a specific primer and crRNA are designed, the high-specificity nucleic acid cutting capability of a gene editing enzyme CRISPR / CAS system and the isothermal rapid amplification advantage of a nucleic acid isothermal amplification technology are fully fused, and the detection method has the advantages of high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity, high specificity The fluorescent probe has high-specificity sequence recognition capability, realizes efficient detection of target nucleic acid, is strong in detection specificity, high in sensitivity and simple and convenient to operate, does not need complex equipment and professionals, and is suitable for rapid detection in an on-site environment with limited resources.

The invention discloses a primer probe combination and a kit for detecting shrimp viruses on site, and relates to the technical field of gene detection. The invention provides a primer probe combination for detecting enterocytozoon hepatopenaei, prawn white spot syndrome virus and macrobrachium rosenbergii nodavirus on site. The primer probe combination comprises a primer pair and a probe for detecting enterocytozoon hepatopenaei, the primer pair and the probe are used for detecting the prawn white spot syndrome virus; the invention discloses a primer pair and a probe for detecting macrobrachium rosenbergii nodavirus. The method for detecting the shrimp viruses by adopting the primer probe combination and the kit disclosed by the invention integrates sample pretreatment, nucleic acid extraction, purification, amplification and detection, has better sensitivity and accuracy, is simple, convenient, rapid and time-saving to operate, and plays an important role in on-site rapid detection of research and safety management of the shrimp viruses.

The invention discloses a primer probe combination and a kit for on-site detection of a transgenic soybean transformant, and relates to the technical field of transgenic detection. The invention provides a primer probe combination for on-site detection of a transgenic soybean transformant. The primer probe combination comprises a primer pair and a probe for detecting a soybean endogenous gene, the primer pair and the probe are used for detecting the transgenic soybean strain GTS40-3-2; the primer pair and the probe are used for detecting the transgenic soybean strain DBN9004; the primer pair and the probe are used for detecting yellow 6106 in a transgenic soybean line; the primer pair and the probe are used for detecting IPC. The method for detecting the transgenic soybeans by adopting the primer probe combination and the kit disclosed by the invention integrates sample pretreatment, nucleic acid extraction, purification, amplification and detection, has better sensitivity and accuracy, is simple and convenient to operate, rapid and time-saving, and plays an important role in on-site rapid detection of transgenic soybean research and safety management.

The invention provides a molecular marker related to an egg shape index and application of the molecular marker, and belongs to the technical field of gene detection. The molecular marker related to the egg shape index is an SNP (Single Nucleotide Polymorphism) molecular marker and corresponds to the 14522218th site from the 5'terminal on a chromosome 7 of chicken reference genome Galusgallus 7.0 W version sequence information published in ENSEMBL, and the basic group at the site is A / G. According to the technical scheme, the SNP molecular marker is related to the egg shape index and is a new molecular marker, the breeding progress of the character can be accelerated by detecting the genotype of the site of a chicken individual to be detected and performing early selection on the chicken with the dominant genotype, a large amount of time and eggs cannot be consumed, and the breeding efficiency is improved. The method has great application value and economic benefit.

The invention belongs to the technical field of gene detection, and particularly relates to an SNP (Single Nucleotide Polymorphism) molecular marker, a primer pair, a kit, a detection method and application of a g.64930 site of a PPARG (Peroxisome Peroxisome Activated Receptor Gene) gene of Anhui local variety cattle. The nucleotide sequences of the molecular marker are as shown in SEQ ID NO.1 and SEQ ID NO.2, when the basic group at the 118th site of the 5'end of the molecular marker is G, the meat color brightness of beef is higher than that when the basic group at the site is T, and the muscle pH is lower than that when the basic group at the site is T. The molecular marker can be used as a candidate molecular marker for the quality character of the Anhui local variety cattle, is applied to population breeding of the Anhui local variety cattle, and is combined with production requirements for molecular-assisted breeding, so that a theoretical basis is conveniently provided for variety resource development and breeding of the Anhui local variety cattle.

The invention relates to the technical field of biological detection, in particular to a miniaturized portable fluorescence microplate reader for instant fluorescence detection, and aims to provide a fluorescence detection scheme which is portable, high in sensitivity and quick in response. The detector integrates an MCU microcontroller, a voltage conversion module, a light source driving module, a motor driving module, a photoelectric detection module, an AD sampling module, an automatic temperature control module based on a PID algorithm, a signal processing system and a data processing system. High-sensitivity and high-resolution detection of a fluorescent sample can be realized, the concentration of the sample can be detected in real time, and the change process of the concentration of the sample can be presented through a kinetic curve. Through the optimization of the structure, optics and electronic circuits, the instrument is more miniaturized and has portability. Due to the advantages of portability, high sensitivity, quick response and the like, the kit has wide application prospects in multiple fields of basic research of nucleic acid, gene expression, sequence analysis, transgenic detection and the like.

The invention discloses a method and system for detecting respiratory tract pathogens, pathogen drug-resistant genes and pathogen virulence genes, and relates to the technical field of gene detection.The method comprises the steps that a respiratory tract sample of a patient is collected, DNA and RNA are extracted, and total nucleic acid is obtained; carrying out first-round PCR amplification on the total nucleic acid, purifying a first-round PCR product, carrying out second-round PCR amplification, and sorting the product to obtain a library building product; performing high-throughput sequencing on the library building product to obtain sequencing data, and detecting pathogens, drug-resistant genes and virulence genes; according to the method and system for detecting the respiratory tract pathogens, the pathogen drug-resistant genes and the pathogen virulence genes, by optimizing library preparation and direct library building of nucleic acid, the process is simplified, and efficiency and accuracy are improved; the balance reagent design guarantees library quality; the kit adapts to pathogen detection requirements in Yunnan and the like, provides efficient diagnosis, shortens detection time, improves treatment effect, regularly updates pathogen information, and keeps technical frontier.

The invention relates to the technical field of computer medical detection, in particular to a thyroid nodule benign and malignant classification method based on clinical information, radiomics and gene detection. According to the method, pathological diagnosis of thyroid nodules is used as a dependent variable, detection data including radiomics characteristics and molecular omics are used as continuous variables, and the detection data of at least three genes CLDN10, HMGA2 and LANM3 are selected as the data of the molecular omics; meanwhile, in combination with part of clinical pathological characteristics including gender, age and BRAF V600E mutation condition factors, a thyroid nodule preoperative diagnosis prediction model based on radiomics and molecular omics is constructed through an SVM modeling method. Gene detection, radiomics and clinical basic information are combined, and a thyroid nodule diagnosis model based on the combination is established on the basis of Chinese population. The method is used for assisting clinicians in distinguishing benign and malignant thyroid nodules and guiding clinical decisions

The invention provides a myocardial amyloidosis classification prediction method and system based on cardiac magnetic resonance multi-sequence radiomics, and is applied to the technical field of data processing. The method comprises the following steps: preprocessing cardiac magnetic resonance multi-sequence image information to generate a standardized multi-sequence image data set; processing the standardized multi-sequence image data set to generate a target image omics feature vector; processing the gene detection information to generate pathogenic gene characteristics and mutation type characteristics; processing the target radiomics feature vectors and the cardiac magnetic resonance parameters based on medical knowledge graph data to generate an AL type myocardial feature associated feature set and an ATTR type myocardial feature associated feature set; processing the blood detection index information and the intestinal microflora parameter information to generate myocardial amyloidosis influence factors; and processing the data based on the target myocardial amyloidosis classification prediction model to generate a myocardial amyloidosis classification prediction result.

The invention discloses a preparation method of light-regulated single-stranded DNA and application of the light-regulated single-stranded DNA in CRISPR nucleic acid detection. According to the invention, Lambda excision enzyme and a primer modified with PC-Linker are introduced into a detection system based on RPA-CRISPR / Cas12a, and a one-tube nucleic acid detection system without PAM limitation is constructed. By introducing Lambda excision enzyme, the strict dependence of the traditional CRISPR / Cas12a detection technology on PAM sites is broken through, and the application range of the CRISPR / Cas12a detection technology is remarkably widened. And the system is integrated into one-tube detection, so that the risk of aerosol pollution caused by opening a cover for multiple times and transferring a sample is avoided while the experimental operation process is simplified. According to the research, CRISPR / Cas12a and CRISPR / Cas13a are further integrated into a single-tube reaction system, so that the probability of false negative results is reduced in a double-gene detection manner, and the detection accuracy is improved.

The invention designs a carbapenem drug-resistant gene nucleic acid fluorescent PCR method detection kit and application thereof, the kit uses Taqman fluorescent probe multiple amplification technology to detect carbapenem drug-resistant genes, the kit comprises a nucleic acid reaction liquid Mix1 and a nucleic acid reaction liquid Mix2, the nucleic acid reaction liquid Mix1 is used for detecting drug-resistant genes IMP, NDM and OXA48, the nucleic acid reaction liquid Mix2 is used for detecting drug-resistant genes IMP, NDM and OXA48, and the nucleic acid reaction liquid Mix2 is used for detecting drug-resistant genes IMP, NDM and OXA48. The nucleic acid reaction liquid Mix2 is used for detecting drug resistance genes VIM, KPC and OXA23. The method is high in detection specificity, and the detection result is visual and easy to interpret. Clinical doctors are assisted to judge respiratory tract pathogen infection more comprehensively and more accurately. The kit covers six carbapenem drug resistance genes, is more comprehensive and accurate in detection, and is high in specificity and sensitivity. Meanwhile, multiple sample types can be detected, a sputum sample, an excrement sample and a rectum swab sample are detected through paramagnetic particle extraction, and pure bacterial colonies are directly detected without extraction.

The invention belongs to the technical field of gene detection and gene molecular breeding, and particularly relates to a meat duck whole genome molecular probe combination based on molecular phenotype screening, a 50K gene chip and application thereof. The molecular probe combination and the gene chip of the marker site combination for meat duck whole genome breeding simultaneously cover 7 representative meat duck varieties and 71 economic characters, have richer polymorphism and higher pertinence in meat duck groups, and are lower in cost and higher in speed compared with high-throughput sequencing detection; the breeding chip is designed according to the growth, feed efficiency, slaughtering, breeding, egg quality and various molecular phenotypes of the meat ducks, and compared with a high-throughput sequencing technology, the breeding chip is higher in seed selection accuracy, has higher breeding value, can be widely applied to breeding genotype detection of the meat ducks, and can be used for detecting the breeding genotypes of the meat ducks. And the method has creative significance in the aspect of meat duck genome selective breeding.

The invention relates to the field of gene detection kits, in particular to a female gestational hypertension gene noninvasive detection kit which comprises a kit body, a kit cover, a high-elasticity fixing part, a lifting frame and the like, the rear side of the kit cover is rotationally connected with the top of the kit body, the high-elasticity fixing part is located in the kit body, and the lifting frame is located in the kit body. The high-elasticity fixing piece is provided with a plurality of reagent cavities used for storing reagent tubes, the lifting frame is located at the top of the high-elasticity fixing piece, and the high-elasticity fixing piece can be compressed when the lifting frame descends. The opening action of the box cover is converted into the descending motion of the lifting frame through the transmission assembly, then the high-elasticity fixing piece is compressed, space is created for taking out reagent tubes, the taking process is simplified, the operation efficiency is improved, meanwhile, through the combined design of a pressing plate, a telescopic sleeve and a first elastic piece, the operation efficiency is improved, and the labor intensity is reduced. The reagent tubes with various lengths can be adaptively fixed, and the stability of the reagent tubes in the storage process is ensured.

The invention belongs to the technical field of gene detection and the field of crop molecular genetic breeding, and particularly relates to a sweet potato gene copy number detection method and application thereof. Specifically, according to the technology, transgenic sweet potatoes or arabidopsis thaliana carrying target genes (exogenous genes such as HPT, 35S, IbMYB1-4 and the like which are cloned to expression vectors, namely external reference genes) are taken as control materials, the control materials and sweet potato cultivated species needing to be analyzed are mixed according to a preset mass ratio, the target genes HPT of the transgenic materials are taken as the external reference genes on the basis of detection of the qPCR technology, and the sweet potato cultivated species needing to be analyzed are obtained. Or IbTUA, IbActin and the like in the screened sweet potato cultivar genome are taken as reference genes, and the relative copy number of the target gene in the genome of a sample to be detected can be quickly obtained by calculating the relative copy number between the target gene to be detected and the reference gene, so that data reference is provided for subsequent genetic research.

The invention relates to a line elimination method immunochromatography test paper, which is formed by bonding a sample pad, a combination pad, a nitrocellulose membrane and a water absorption pad on a bottom plate in a mutual overlapping manner in sequence, and the nitrocellulose membrane is provided with a C line for contrast and a T line for detection, a colloidal gold compound marked by streptavidin and a colloidal gold compound marked by rabbit IgG (immunoglobulin G) are sprayed on the combination pad; a T line on the nitrocellulose membrane is coated with an FITC labeled antibody, and a C line on the nitrocellulose membrane is coated with anti-IgG. The line elimination method immunochromatography test paper can eliminate lines when the cutting proportion of the probe reaches 50%, so that the detection sensitivity is greatly improved, and the line elimination method immunochromatography test paper can be applied to target gene detection products in a CRISPR (clustered regularly interspaced short palindromic repeats) mode, including genotyping of pathogenic microorganisms, SNP (Single Nucleotide Polymorphism), insertion and deletion, structural variation, methylation modification site detection or drug resistance gene identification.

The invention provides a primer group for identifying multiple genes of ten bacteria related to lower respiratory tract infection and application of the primer group, and belongs to the technical field of gene detection, the sequence of the primer group is shown as SEQ ID NO.1-20, the primer group designs specific primers for ten bacteria such as pseudomonas aeruginosa and streptococcus pyogenes, and the specific primers of ten genes of a 5'end primer are labeled by FAM fluorescence. 10 target gene loci and 2 internal reference loci can be detected in one PCR system, the traditional PCR deviation is overcome, and gene expression is accurately quantified. The reagent and the kit developed on the basis have the advantages of simplicity and convenience in operation, low cost, high accuracy and the like. When the kit is used, DNA of a sample is extracted for multiple PCR, and pathogen load is determined through electrophoresis and software analysis. Experiments prove that the method has strong specificity and high sensitivity to 10 bacteria, and has important application value in LRTI bacterial identification.

The invention belongs to the field of tumor medicine and the technical field of molecular biology and gene detection, and relates to application of rs17771861 in preparation of a nasopharyngeal carcinoma prognosis prediction marker, and the sequence of the SNP site rs17771861 is as shown in SEQ ID NO.1. The invention also relates to application of the SNP site rs17771861 in preparation of a nasopharyngeal carcinoma prognosis prediction marker. The invention provides an SNP (Single Nucleotide Polymorphism) marker rs17771861 related to nasopharyngeal carcinoma prognosis, application of the SNP marker rs17771861 and a detection kit capable of being used for nasopharyngeal carcinoma prognosis prediction, and the SNP marker rs17771861 is used for assisting in guiding individualized treatment and improving prognosis of tumor patients. After the kit disclosed by the invention is applied to clinical detection, prognosis of a patient can be evaluated before treatment, and a more positive and effective treatment scheme is formulated for the patient with poor prognosis, so that individualized treatment of the patient is realized, and the survival rate is increased. In addition, the kit only needs to detect peripheral blood, and has the characteristics of convenience in sampling, simplicity in operation, high timeliness and the like.