19 results about "Mutational analysis" patented technology

The invention relates to a rolling bearing residual life prediction method based on space-time degradation characteristic decoupling, and the method comprises the steps: obtaining a vibration signal in a full life cycle operation process of a rolling bearing, and obtaining a sample sequence after preprocessing; performing complete ensemble empirical mode decomposition on the sample sequence, and extracting a plurality of IMF signals; on the basis of statistical threshold criterion in combination with energy mutation and self-correlation structure mutation analysis, identifying a degradation starting moment, adding a label to a sample sequence, and dividing a training set and a test set; training the space-time degeneration decoupling network by using the training set to obtain an RUL prediction model; testing the RUL prediction model by using the test set to obtain a prediction result; the space-time degeneration decoupling network combines a degeneration guide feature deconstruction module and a collaborative modeling strategy of a time modeling branch and a space modeling branch, captures time dynamic characteristics and a space hierarchical structure, and improves the accuracy, stability and reliability of RUL prediction.

The invention discloses a blasting vibration monitoring data processing method and device based on edge calculation, and relates to the technical field of blasting vibration monitoring, a blasting point monitoring range of a blasting site is divided into a plurality of edge monitoring units, and a plurality of edge data analysis units are deployed at geometric centers of the plurality of edge monitoring units; and a plurality of vibration sensors in the edge monitoring unit are respectively in communication connection with the edge data analysis unit at the geometric center. According to the invention, the edge data analysis unit realizes the localization processing of data, reduces the delay of data transmission, and improves the real-time monitoring and quick response capabilities. The localization processing of the edge calculation unit enables mutation analysis to be carried out in real time, and once mutation is detected, corresponding measures can be taken immediately, so that the quick response capability is improved. Through step-by-step feature extraction and comparison, the algorithm process is clear, and optimization and adjustment are facilitated to adapt to different monitoring environments and requirements.

The invention provides a method and system for determining appropriate granularity for landscape pattern analysis, and the method comprises the steps: enabling high-resolution land cover or land utilization vector data of a target region to generate a first multi-granularity sequence with a coarse step length according to a maximum area value rule (Rule of Maximum Area, RMA), and determining a granularity upper threshold value and a scale domain according to three conservation criteria of landscape composition, area and pattern form; a second multi-granularity sequence in the scale domain is generated with a fine step length according to the RMA rule, and a landscape pattern index, sensitive to the scale effect, of the second multi-granularity sequence is calculated; the method comprises the following steps: performing mutation analysis by adopting a non-parametric rank test (Mann-Kendall and Pettitt test), and taking an effective mutation point with the highest frequency as an appropriate granularity; according to the method, information loss and nonparametric mutation inspection are quantified through three conservation criteria, the problems that a traditional method neglects landscape pattern form loss, granularity judgment is high in subjectivity, data distribution depends and the like are solved, and the objectivity of granularity decision and ecological application precision are improved.

The application discloses a kind of monitoring variable frequency sampling method, equipment, system and storage medium, the method comprises: obtaining the first sampling data to be detected, first sampling data is that monitoring proxy end is sampled to monitoring object according to set first sampling time interval and obtains first sampling data;According to the operation state of monitoring object, mutation detection is carried out to first sampling data, and mutation detection result is obtained;If it is determined that mutation detection result is mutation, the second sampling data before mutation is obtained, and the second sampling data and first sampling data are sent to monitoring server;Wherein, second sampling data is that monitoring proxy end is sampled in first set time before mutation according to set first sampling time interval and obtains first sampling data, and first set time is determined according to set first sampling data queue length.Therefore, the real-time performance and accuracy of mutation analysis are improved.

Provided herein are compositions and methods for high-throughput Primary Template-Directed Amplification (PTA) nucleic acid amplification and sequencing methods, and their applications for mutational analysis in research, diagnostics, and treatment. Further provided herein are methods for parallel analysis of DNA, RNA, and / or proteins from single cells.

The invention discloses a gene mutation analysis method, system and equipment and a storage medium, and the key points of the technical scheme are as follows: reading forward and reverse sequencing data to obtain first peak data and second peak data of each basic group, determining a first selected basic group and a second selected basic group according to the first peak data and the second peak data, and obtaining a forward selected sequence and a forward undetermined position; performing comparative analysis on the combined forward selection sequence and reverse selection sequence as well as the forward original sequence and reverse original sequence, and controlling the replacement of the base of the forward original sequence and the replacement of the base of the reverse original sequence according to the comparative analysis result to obtain a target forward sequencing sequence and a target reverse sequencing sequence; and judging whether to merge the forward original sequence and the reverse original sequence on the merged target forward sequencing sequence and target reverse sequencing sequence or not according to the replacement condition of the basic groups. According to the invention, the influence of improper sequencing operation or sample pollution on the accuracy of the query sequence can be reduced.

The invention discloses a preparation method and application of TCR-T targeting FAM114A1 mutant tumor neoantigen in hepatocellular carcinoma, and relates to molecular biology. By acquiring mutation analysis data of liver cancer and para-carcinoma tissues of an HCC patient, the tumor neoantigen HCC3 with an FAM114A1 mutation source is obtained through multi-step screening. And further obtaining a CDR3 sequence targeting the antigen, wherein the CDR3 sequence comprises an Alpha chain CDR3 amino acid sequence, a Beta chain CDR3 amino acid sequence and the like. TCR lentiviral vectors are constructed by using the sequences, TCR-T is constructed through the steps of extraction of endotoxin-free plasmids, connection, lentivirus packaging and the like, and the killing function of the TCR-T on T2 cells presenting FAM114A1 mutant antigen peptide is detected. The screened CDR3 sequence and the constructed TCR-T cell can be used for immunotherapy of hepatocellular carcinoma, and have a good application prospect.

The invention discloses a tumor whole exon sequencing panoramic variation map analysis method and system based on Argo Workflows. The method comprises the steps that all analysis tools involved in the variation type analysis process of whole exon sequencing original data of a tumor sample and a normal sample paired with the tumor sample are packaged into independent Docker containers through Argo Workflows; performing sequence alignment on the whole exon sequencing original data by using two parallel task branches; performing data preprocessing by using two parallel task branches; s4, performing parallel execution of embryonic line mutation analysis, copy number variation analysis, MSI state analysis and somatic mutation detection on the tumor and normal sample sequence comparison data; calculating a tumor neoantigen prediction result and a TMB value; and summarizing to generate a tumor whole exon sequencing panoramic variation map. The method simplifies operation, reduces manual intervention, improves accuracy, improves analysis efficiency and has repeatability.

The present disclosure relates to methods of monitoring bladder cancer patients and analyzing patient samples for presence of methylated DNA and optionally particular gene mutations. In some embodiments, analysis results are correlated with clinical outcome measures such as risk of bladder cancer recurrence.

The present invention discloses a method and system for home environmental intervention for patients with chronic respiratory diseases. The method includes sensor module construction, multi-node linkage tracing, sampling scheduling optimization, and environmental intervention. The present invention relates to the field of environmental health monitoring and intelligent intervention technology. The method realizes real-time collection of home environmental data by constructing a multimodal microsensor that integrates particulate matter, gas, temperature and humidity, and allergen detection; uses an improved propagation consistency index and parameter gradient mutation analysis to identify the propagation path and health risks of environmental factors that induce symptoms; combines a lightweight long-short-term memory network to dynamically optimize the sampling frequency and improve data collection efficiency; and ultimately realizes individual-oriented intelligent device linkage control and health behavior prompts. The method has the advantages of personalization, high response, and embeddability, which improves the intelligent level of chronic respiratory disease management.

The present application relates to the technical field of bioengineering, and particularly relates to a kind of omega-transaminase mutant and its application.The present application discloses a kind of omega-transaminase mutant and its application in the synthesis of silodosin intermediate, the omega-transaminase mutant is by from Arthrobacter, through homologous modeling, reaction intermediate molecular docking, active site amino acid analysis, homologous sequence analysis, virtual mutation analysis combined with site-directed mutation verification, the single-point mutation of 62th and 223th obtains H62A, S223A mutant.The omega-transaminase mutant of the present application can one-pot catalysis 60mM silodosin intermediate ketone is converted into silodosin intermediate, conversion rate is greater than 92%, compared with wild type, the specific activity of H62A mutant to silodosin intermediate ketone is 1.4 times of wild type, S223A is 1.24 times of wild type, and the optimum reaction temperature is 30 DEG C, and the ee value of product is greater than 99.29%.

The invention discloses a chimeric lysozyme gene mutation analysis method based on genome sequencing data, and relates to the technical field of mutation analysis, the chimeric lysozyme gene mutation analysis method comprises the following steps: carrying out quality control processing on obtained chimeric lysozyme genome sequencing original data to generate a high-quality sequencing read; based on high-quality sequencing reads, the occurrence frequency of k-polymer fragments in each window and a GC variation anomaly sliding window set are obtained, and splicing fracture intervals on the sequencing read set and the coordinate range of splicing breakpoints in the splicing fracture intervals are recognized by combining mutation enrichment regions on a genome. The method comprises the following steps: performing window division on a high-quality sequencing read section, performing statistics on occurrence frequency of a k-polymer fragment and basic group GC content variation, and accurately identifying a splicing fracture interval and a breakpoint coordinate range in combination with genome mutation enrichment regions so as to realize accurate positioning of a genome structure abnormal region.

An objective of the present invention is to provide a method for gene editing material testing. The method comprises: constructing a plurality of specific recognition sequences; on the basis of the specific recognition sequences, sequencing gene fragments; and using SuperDecode software to decode a sequencing result. The present invention can quickly test gene editing results of a large number of samples, detect all types of mutations in gene editing materials in all aspects, and make it convenient for researchers who are not skilled in using various computer programming languages to perform mutation analysis on sequencing results in a short time.

Provided herein are compositions and methods for accurate and scalable single cell multiomics methods, and their applications for mutational analysis in research. diagnostics, and treatment. Further provided herein are multiomics methods for parallel analysis of DNA, RNA, and / or proteins from single cells using Primary Template-Directed Amplification (PTA) nucleic acid amplification.

The application provides a landscape pattern analysis suitable granularity determination method and system, comprising: generating a first multi-granularity sequence according to a maximum area value rule (RMA) with a coarse step length from target area high-resolution land cover or land use vector data, and determining a granularity upper limit threshold and a scale domain according to three conservation criteria of landscape composition, area and pattern form; generating a second multi-granularity sequence in the scale domain according to the RMA rule with a fine step length, and calculating a scale effect sensitive landscape pattern index of the second multi-granularity sequence; and performing mutation analysis by using a non-parametric rank test (Mann-Kendall and Pettitt test), and taking the highest frequency effective mutation point as the suitable granularity. The application solves the problems of traditional methods, such as ignoring landscape pattern form loss, strong subjectivity of granularity judgment, data distribution dependence and the like by quantifying information loss and non-parametric mutation test, and improves the objectivity of granularity decision and the ecological application precision.

This invention provides the application of agents that inhibit NNMT binding to FGFR1 in the prevention and treatment of tumors. Through mutation analysis and interactomics analysis, it reveals a previously unknown, non-enzyme-dependent role of NNMT in promoting aerobic glycolysis in breast cancer. It discovers that NNMT binds to FGFR1 and acts as a scaffold protein, promoting phosphorylation of PKM2 and LDHA at Y105 and Y10 sites, respectively. By positioning the FGFR1 binding interface to the 140-154 amino acid region of NNMT, this invention designs a competitive cell-penetrating peptide, NNMT-15, which can disrupt the NNMT-FGFR1 interaction, reduce the phosphorylation levels of PKM2 and LDHA, inhibit glycolysis, and suppress proliferation in NNMT-high-expressing cancer cells and cancer-associated fibroblasts. These findings reveal NNMT as a dual-function metabolic regulator and establish the NNMT-FGFR1 scaffolding effect as a targeted therapeutic axis in glycolysis-dependent tumors.

Provided herein are compositions and methods for high-throughput Primary Template-Directed Amplification (PTA) nucleic acid amplification and sequencing methods, and their applications for mutational analysis in research, diagnostics, and treatment. Further provided herein are methods for parallel analysis of DNA, RNA, and / or proteins from single cells.

The invention discloses a chronic respiratory disease patient family environment intervention method and system. The method comprises the steps of sensing module construction, multi-node linkage traceability, sampling scheduling optimization and environment intervention. The invention relates to the technical field of environmental health monitoring and intelligent intervention, and the method achieves the real-time collection of household environment data through constructing a multi-mode micro sensor integrated with particulate matter, gas, temperature, humidity and allergen detection. An improved propagation consistency index and parameter gradient mutation analysis are adopted to identify the propagation path and health risk of the environmental factors inducing the symptoms; the sampling frequency is dynamically optimized in combination with a lightweight long-short-term memory network, so that the data acquisition efficiency is improved; and finally, the linkage regulation and control and health behavior prompt of the individual-oriented intelligent equipment are realized. The method has the advantages of individuation, high response and embeddability, and the intelligent level of chronic respiratory disease management is improved.

This application provides a circuit breaker anomaly early warning method, comprising: acquiring real-time characteristic parameter data containing the circuit breaker's operating status; processing the real-time characteristic parameter data to obtain a corresponding time series; constructing a time series to obtain a time point sequence; performing mutation analysis on the characteristic parameter data in the time point sequence to obtain mutation analysis results; and determining the current operating status of the circuit breaker based on the mutation analysis results. This application can detect potential mutation points that may lead to faults before the circuit breaker experiences anomalies. Through a mutation anomaly early warning analysis model, it can accurately identify abnormal mutation characteristics in the early stages of circuit breaker faults, thereby effectively reducing the circuit breaker's failure rate and ensuring its safe operation. This application also provides a circuit breaker anomaly early warning system, a computer-readable storage medium, and an electronic device, which have the aforementioned beneficial effects.