137 results about "Genome sequence analysis" patented technology

The invention discloses a diopter detection data fusion processing system based on deep learning, and relates to the technical field of medical detection. The system comprises a multi-modal data acquisition module, a data preprocessing and aligning module, a dynamic sequence analysis module, a deep learning regression core module, a personalized calibration module and a result output and visualization module which are connected in sequence. The system obtains objective detection data through a multi-modal data acquisition module, and multi-modal data is formed after preprocessing and space-time alignment; the dynamic sequence analysis module extracts adjustment response time sequence features; the deep learning regression core module calculates an initial diopter parameter; the personalized calibration module performs parameter optimization in combination with the biological characteristics of the user; and finally, a visual quality simulation result is generated through a result output and visualization module. According to the method, the multi-modal data fusion and deep learning technology is utilized, rapid and accurate diopter automatic detection is realized, and the detection efficiency and the individuation level are remarkably improved.

The invention relates to the technical field of artificial intelligence application, and discloses an enzyme EC number prediction method, and the method comprises the steps: obtaining the sample sequence characteristics of a to-be-predicted sample containing a substrate SMILES sequence and a product SMILES sequence through a target BERT model; constructing a molecular object and feature coding based on atom mapping, atom truncation and sequence analysis, constructing a reaction graph of a to-be-predicted sample, inputting the reaction graph into a target graph isomorphic neural network, and constructing molecular graph features of the to-be-predicted sample based on a recursive neighborhood aggregation mechanism; and fusing the sample sequence features of the to-be-predicted sample with the molecular map features by using a bidirectional cross attention mechanism to obtain multi-modal features, inputting the multi-modal features into the multi-layer perceptron, and obtaining the prediction probability of the enzyme EC number of the to-be-predicted sample. According to the method, efficient and accurate end-to-end prediction of enzyme EC numbering is realized through the multi-dimensional chemical spatial characteristics of the collaborative modeling reaction.

The invention relates to a privileged account-oriented dynamic authority control and behavior auditing method and system, which integrate operation sequence analysis, environmental threat intelligence and user behavior baselines, construct a behavior DNA model and realize accurate real-time risk scoring. A transient dynamic token is adopted to realize permission minimization, a token fusing mechanism is initiated to realize real-time interruption of high-risk operation, suspicious operation intention verification is performed through a mirror image sandbox, and a virtual pressure test is introduced to actively detect potential threats. A full-link digital twin system is established, it is ensured that auditing records cannot be tampered in combination with a distributed consensus auditing account book, and attack chain visualization and operation scene accurate playback are supported. According to the scheme, the problems of permission flooding, extensive management and control, weak auditing and the like existing in traditional privileged account management are effectively solved, precise management and control, intelligent early warning and credible traceability of privileged behaviors are realized, and comprehensive protection is provided for organizing core assets.

The invention relates to the technical field of physiological signal analysis, in particular to a sleep disorder intelligent diagnosis system based on a multi-modal knowledge graph, which comprises a signal lag analysis module, an abnormal signal identification module, a graph construction module, a graph path generation module and a diagnosis result output module. According to the method, difference comparison and normalized sequence analysis in a time window are performed on multiple types of physiological response data, and derivative trend identification and mutation section calibration are combined, so that collaborative identification of signal delay response and abnormal change positions is realized, and multi-dimensional information of duration, frequency and fluctuation amplitude in abnormal events is further structured; the method comprises the following steps: constructing a traceable symptom expression vector, extracting structural features of the traceable symptom expression vector in a time sequence evolution process through a cross-time window entity evolution path, identifying a growth trend of association strength between symptoms according to an attribute change direction and a path connection mode, and judging a fluctuation mode and an abnormal evolution tendency of a sleep state of a user in a specific time period.

The invention relates to a nucleic acid aptamer for specifically recognizing tilmicosin as well as screening and application of the nucleic acid aptamer, and belongs to the technical field of food safety detection and biosensing. Aiming at the defects of the existing method for detecting tilmicosin residues in food, the invention provides a high-affinity and high-specificity nucleic acid aptamer obtained by screening based on a graphene oxide index enrichment ligand systematic evolution technology. The aptamer is obtained by multiple rounds of screening from a random single-stranded DNA library through a GO-SELEX technology, and a core sequence Apt-2-1 with the length of 33 nt is finally obtained through sequence analysis and structure optimization. The aptamer shows excellent binding capacity to tilmicosin, the dissociation constant reaches 9.82 nM, and the aptamer has good specificity. The nucleic acid aptamer provided by the invention can be used for constructing a rapid and sensitive tilmicosin residue detection method, and has important application value in monitoring of livestock and poultry products and food safety.

The application discloses a high-sweetness-amino-acid-content Flammulina velutipes variety and a MNP molecular identification method and application thereof. The Flammulina velutipes variety has excellent properties, the cap is not easy to open, the content of sweet amino acids is high, the diversified market demand is met, the factory annual bottle cultivation is suitable, and the Flammulina velutipes variety has a good application and popularization prospect. The MNP molecular fingerprint of the Flammulina velutipes variety 'Shangyan A111' is comprehensive multiple amplification and sequencing technology, sequence analysis of all marker sites of multiple samples can be performed at one time, compared with ISSR, RAPD, SSR and other molecular markers and mushrooming test, the MNP molecular fingerprint has the advantages of high throughput, multi-target, high sensitivity and high precision. The MNP molecular fingerprint of the Flammulina velutipes variety 'Shangyan A111' has specificity and specificity in identifying the Flammulina velutipes strain 'Shangyan A111'.

This invention belongs to the field of biodetection technology, specifically relating to a monoclonal antibody combination for detecting the N protein of porcine reproductive and respiratory syndrome virus (PRRSV) and its application. The combination consists of monoclonal antibodies 1D7 and 5C7. Sequence analysis has clarified the CDR amino acid sequences of the heavy and light chain variable regions, as shown in SEQ ID NO.1-SEQ ID NO.12, and a double-antibody sandwich ELISA detection method has been established based on this. This method uses 1D7 as the coating antibody and 5C7 as the labeling antibody, achieving a sensitivity of up to 100 pg / mL, high specificity, no cross-reactivity with irrelevant antigens such as PEDV, and effectively detecting the N protein in PRRSV vaccine strains such as JXA1-R and R-98. This invention can be used for rapid detection of PRRSV antigen in clinical samples and for vaccine quality control.

The application provides a bidding full-element compliance review method for multi-modal model space-time sequence analysis, relates to the technical field of data processing, and comprises the following steps: acquiring space-time sequence data and auxiliary data of a bidding project, constructing a space-time double-flow feature network, constructing a knowledge graph based on output, calculating an abnormal score by using a space-time mode encoder, optimizing an abnormal detection result by using a graph attention network, and dynamically generating a bidding compliance verification path by using deep reinforcement learning. The application can realize comprehensive analysis of bidding data, improve the accuracy of abnormal behavior detection, reduce the cost of manual review, and optimize the efficiency of the verification path.

The invention provides a toxoplasma gondii gene deletion strain with an immune protection effect and application of the toxoplasma gondii gene deletion strain, and belongs to the technical field of veterinary parasitology, veterinary immunology and parasite molecular biology. According to the toxoplasma gondii gene deletion strain, a gamma-glutamyl hydrolase gene is deleted. The invention also provides a method for constructing the insect strain. The method comprises the following steps: constructing a circular plasmid pSAG1-Cas9-U6-sgGGH; constructing a repair template containing upstream and downstream homologous arms of the gamma-glutamyl hydrolase gene and a DHFR resistance gene; co-transfecting the annular plasmid and the repair template to a toxoplasma gondii ME49 strain; performing drug screening on pyrimethamine to obtain positive monoclone; and confirming that the GGH gene is completely knocked out through PCR (Polymerase Chain Reaction) detection, sequencing analysis and immunofluorescence detection. The toxoplasma gondii gene deletion strain can provide a remarkable protection effect on toxoplasma gondii infection and is high in safety.

The application discloses an mRNA vaccine sequence design system and method based on a large language model intelligent agent, and the mRNA vaccine sequence design system based on the large language model intelligent agent comprises a user interaction and task analysis module, a task planning and intelligent agent scheduling module, an RNA design skill library and skill description module, a multi-target evaluation and closed-loop optimization module and a data and model management module. The application integrates a large language model and various mRNA sequence analysis and optimization tools, automatically completes mRNA vaccine sequence generation, evaluation and optimization for a target antigen in a computer environment, is suitable for candidate sequence design and screening of a preventive or therapeutic mRNA vaccine, improves design efficiency, and reduces the degree of dependence on manual experience and manual script arrangement.

The application discloses a PCR primer pair and a molecular marker probe for distinguishing between barnyard grass and rice, a detection kit and application thereof. After align analysis on chloroplast genome sequences of the barnyard grass and the rice, it is found that a difference site exists in a 91 kb region, sequences of the upstream and downstream of the difference site are taken as reference sequences to select homologous sequences to design primers for PCR amplification, and the amplification result proves that the difference site fragment obtained by chloroplast genome sequence analysis exists and can be amplified and identified subsequently; the PCR amplification product is sequenced, and the sequencing result is compared to find that a 12 bp insertion site exists in the site and can separate the barnyard grass from the rice, a colloidal gold probe is designed according to the insertion site, and a RPA detection kit and a detection method are established, and the RPA detection kit is used to detect the barnyard grass and the rice, and the barnyard grass and the rice can be accurately distinguished.

The invention relates to an intron variant capable of accurately splicing and enhancing gene transcription and application of the intron variant, and belongs to the technical field of biological breeding, the intron variant is a variant of a Cat1mu intron, the Cat1mu intron has a nucleotide sequence as shown in SEQ ID NO.2, and the nucleotide sequence of the intron variant is formed by mutating base AG at the 182th to 183th sites of the sequence as shown in SEQ ID NO.2 into tG, Ac, At, cG, Aa, ta, tt, tc, cc, ct or ca. According to the present invention, the sequence analysis and the saturation mutation are performed on the Cat1mu, the screening is performed to obtain the Cat1mu series variant Cat1mu2-12, the accurate splicing effect of the Cat1mu2-12 during the fusion gene expression process is verified, and the Cat1mu6, the Cat1mu7, the Cat1mu8 and the Cat1mu10 can further enhance the fusion gene expression effect.

This invention relates to the field of bioinformatics, and particularly to a method and system for denoising single-cell immune repertoire sequencing data. The method includes data preprocessing and feature extraction, bidirectional collaborative denoising, intelligent comprehensive judgment and classification, data archiving and background learning, and result output. Compared to existing technologies that primarily rely on static thresholds for cell filtering, which struggle to comprehensively assess and eliminate multi-dimensional noise, leading to incomplete purification and the potential deletion of high-value cell information, this invention employs a systematic denoising scheme integrating multi-parameter dynamic threshold filtering, specific gene contamination analysis, and targeted optimization of VDJ data. It sets dynamic thresholds by integrating multi-dimensional quality control indicators such as UMI number, gene number, and the proportion of mitochondrial and ribosomal genes, and specifically identifies and filters interfering genes and background sequences. This enables refined and hierarchical removal of complex noise, significantly improving the overall quality of cell datasets and the accuracy of VDJ receptor sequence analysis.

The application belongs to the technical field of network security, and provides a security defense method, system and equipment based on behavior sequence analysis, which comprises data preprocessing and feature engineering, abnormal sample expansion under privacy protection, complex attack correlation detection and model dynamic optimization; the method generates a conditional sequence of an adversarial network through local training of each node under a federal learning framework, generates a compliant time sequence abnormal sample under the premise of protecting data privacy, effectively solves the problem of insufficient model training caused by the scarcity of abnormal samples, improves the generalization ability of the detection model, models each domain behavior sequence as a graph structure, and introduces a causal attention mechanism, so that the application can identify complex attack chains across resources and time periods, such as the whole process of APT attacks, and significantly improves the detection ability of attack behaviors with strong concealment and long duration.

The invention provides application of bacillus altitudinis H18 and a glucoside hydrolase gene thereof in improving rumen degradation of rice straws, and belongs to the technical field of straw reutilization. The bacillus altitudinis H18 is separated from goat rumen fluid, the bacillus altitudinis H18 can promote degradation of rice straw cellulose, and reference is provided for feed application of rice straw. Sequencing analysis finds that a whole genome of the strain H18 contains a large number of genes related to glucoside hydrolase GH, carbohydrate hydrolase CE and the like, and the content of neutral detergent fibers and lignin in the rice straw can be remarkably reduced by performing fermentation treatment on the rice straw by using the strain H18 through an in-vitro fermentation method. The strain can be used as a bacterial strain for feed application of the rice straws so as to improve the conversion rate and the utilization rate of the rice straws.

The invention belongs to the technical field of biological medicines, and particularly relates to an anti-CD22 nano antibody as well as a preparation method and application thereof. The anti-CD22 nano antibody comprises a framework region and a complementarity determining region, wherein the complementarity determining region comprises CDR1 (SEQ ID NO: 1), CDR2 (SEQ ID NO: 2) and CDR3 (SEQ ID NO: 3). The preparation method comprises the following steps: immunizing alpaca by using Human CD22 / His protein, extracting RNA (Ribonucleic Acid) from PBMC (Peripheral Blood Mononuclear Cell) and reversely transcribing into cDNA (Complementary Deoxyribose Nucleic Acid), constructing a phage display library, then performing CD22 antigen protein elutriation to obtain positive clone, and after sequencing analysis, expressing the antibody by using a mammalian cell expression system. The optimized phage display technology is adopted, the screening period is short, and the obtained nano antibody is small in molecular weight, stable in structure and high in affinity to CD22. The antibody can be efficiently expressed through mammalian cells, and natural modification activity is reserved.

The present disclosure provides a MNP marker primer combination for macadamia variety identification, a kit and its application. The primer combination comprises: 1st-446th primer pairs, forward primer of 1st primer pair, reverse primer of 1st primer pair to forward primer of 446th primer pair and reverse primer of 446th primer pair, which are sequentially shown in SEQ ID NO: 1-SEQ ID NO: 892 in the sequence listing. Using the MNP marker primer combination, DNA fingerprint data of the sample to be tested can be obtained by multiplex PCR amplification and high-throughput sequencing, and then compared with the control sample to obtain the genetic similarity coefficient, and finally obtain the variety identification conclusion of the sample to be tested and the control sample, and the accuracy and digitization degree are both high. A sequence analysis software can be used to compare hundreds of samples to be tested at one time, and the variety identification conclusion can be quickly obtained, which can significantly improve the accuracy and efficiency of macadamia variety identification.

The application relates to the field of biomedical technology, in particular to a heavy chain and light chain variable region gene sequence of a LSDV ORF123 monoclonal antibody, an expression immunoglobulin full gene sequence and application thereof, the application extracts total RNA of hybridoma cells (1G1-1G12) by hybridoma sequencing, takes mRNA in the total RNA as a template, carries out reverse transcription to obtain cDNA of corresponding antibody genes, and then uses specific PCR to obtain a heavy chain variable region (Variable region of heavy chain, V H ) and a light chain variable region (Variable region of light chain, V L ) of the corresponding antibody, and carries out cloning and sequencing analysis. Finally, the heavy chain and light chain variable region gene nucleotide sequences of a monoclonal antibody (1G1-1G12) targeting the LSDV ORF123 protein are obtained, and the application is realized. Sequence analysis of the heavy chain (V H ) and light chain antibody (V L ) of the above-mentioned monoclonal antibody shows that the V H and V L gene subtypes of 1G1-1G12 are as follows: the heavy chain is IgG type, and the light chain is kappa type.

The invention belongs to the technical field of recombinant collagen sequence analysis, and discloses a recombinant collagen sequence analysis method based on AI deep learning. Comprising the following steps: extracting a natural III-type collagen sequence; applying the natural III-type collagen sequence to the trained model to generate a thermodynamic diagram; generating an optimized natural III type collagen sequence based on the thermodynamic diagram; performing fine tuning on the AlphaFold2 model by using the fine tuning data set, and obtaining an integrated structure model by introducing spiral torsion constraint and hydroxyproline simulation parameters; loading the optimized natural III-type collagen sequence, and predicting the stability of the triple helix structure of the sequence through the structure model; and extracting a natural III-type collagen sequence which passes the stability detection, and outputting a report file by using a skin permeability prediction model to realize recombinant collagen sequence analysis based on AI deep learning.

The invention relates to the technical field of molecular breeding of Chinese pears, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker related to the peel bottom color of Chinese pears and application of the SNP molecular marker. The identification method comprises the following steps: S1, extracting genome DNA of a pear to be detected; s2, taking the genome DNA of the pear to be detected as a template, and performing PCR (Polymerase Chain Reaction) amplification by utilizing a primer PPR-F / PPR-R; s3, performing sequencing analysis on a PCR amplification product, and when the ground color of the peel of the Chinese pear with the genotype of the SNP site being G / G is green, and the ground color of the peel of the Chinese pear with the basic group of the SNP site being G / A or A / A is brown. When 74 parts of Chinese pear germplasm resources are subjected to peel ground color identification by using the SNP molecular marker, the result shows that the identification accuracy of the SNP molecular marker on Chinese pears with brown and green peel ground colors is 100%. The method does not need to identify the fruit mature period of the Chinese pears, can accurately and quickly identify the peel bottom color of the Chinese pears in the seedling stage, can improve the breeding efficiency and shorten the identification time, and is suitable for molecular design breeding of the Chinese pears.

An object of the present invention is to provide a design method, a manufacturing method, a design device, a design program, and a recording medium of a primer for amplicon methylation sequence analysis, which can improve a design success rate of the primer while suppressing the formation rate of a primer dimer extremely low.The present invention is a primer design method for amplicon methylation sequence analysis, including a primer sequence determination step of selecting one or more primer candidate sequence pairs related to a predetermined target site from one or more primer candidate sequences, calculating a local alignment score between predetermined primer sequences, and adopting and determining a primer candidate sequence pair having a score equal to or less than a predetermined threshold value as a forward primer sequence and a reverse primer sequence for amplifying a region including the predetermined target site.

The invention relates to the technical field of biology, in particular to a Zymomonas mobilis terminator library as well as a construction method and application thereof. Through terminator prediction, primer design, sequencing analysis and efficiency calculation, the stable and efficient Zymomonas mobilis terminator library with high robustness is obtained through screening. The terminator sequence in the library is low in repeatability and high in matching degree with a known transcription termination site. The library constructed by the invention can effectively avoid plasmid recombination, can be directly used for optimizing expression of key enzymes in a metabolic pathway, improves metabolic flux by enhancing mRNA stability, and provides an efficient tool for metabolic engineering modification of Zymomonas mobilis.

The application provides a molecular marker related to tail fat deposition of sheep, a detection method and application thereof. Through PCR amplification and sequence analysis of rBAT (SLC3A1) gene of the sheep, a C / T polymorphic site at the 689th position of the amplified fragment is found, further, the polymorphic site of 1286 Hu sheep is detected by using KASPar primers, a least square model is established, and correlation analysis of the genotypes and growth traits is carried out, and finally it is determined that the amplified RBAT gene fragment can be used as a molecular marker related to tail fat of the sheep. The application can be used for selecting and reserving TT homozygous sheep into a core group, for reducing tail fat deposition of the sheep, and for increasing economic benefits.

The application provides a molecular marker related to immune traits of Lake sheep, a detection method and application thereof. Through PCR amplification and sequence analysis of a PD-L1 gene of the Lake sheep, a G / A polymorphic site at the 135th position of the amplified fragment is found, further detection of the polymorphic site of 898 Lake sheep is carried out by using KASPar primers, a least square model is established, and correlation analysis of the genotype and growth traits is carried out, and finally it is determined that the amplified PD-L1 gene fragment can be used as a molecular marker of immune traits related to the total number of red blood cells and the average concentration of hemoglobin of red blood cells of the Lake sheep. Through detection of the molecular marker, the application can be used for disease-resistant breeding of the Lake sheep, so as to guarantee the health of the Lake sheep and help to increase economic benefits.

The invention belongs to the technical field of Hu sheep molecular marker-assisted breeding, and particularly relates to application of an FABP3 gene molecular marker g.2596A > C in Hu sheep molecular marker-assisted breeding. According to the invention, Hu sheep is taken as a research object, PCR amplification, direct sequencing of products and sequence analysis are adopted, FABP3 gene polymorphism is analyzed, and correlation between different genotypes of polymorphic sites and different growth traits is comprehensively analyzed. An analysis result shows that g.2596A > C is obviously related to the birth weight of Hu sheep, and the birth weight of AA genotype is obviously higher than that of CC genotype (P > 0.05).

The invention discloses an mRNA vaccine sequence design system and method based on large language model intelligent proxy. The mRNA vaccine sequence design system based on the large language model intelligent agent comprises a user interaction and task analysis module, a task planning and intelligent agent scheduling module, an RNA design skill library and skill description module, a multi-target evaluation and closed-loop optimization module and a data and model management module. According to the method, the large language model and various mRNA sequence analysis and optimization tools are integrated, mRNA vaccine sequence generation, evaluation and optimization aiming at the target antigen are automatically completed in a computer environment, the method is suitable for candidate sequence design and screening of prophylactic or therapeutic mRNA vaccines, the design efficiency is improved, and the design cost is reduced. And the degree of relying on artificial experience and manual script arrangement is reduced.

A system, method and apparatus for executing a sequence analysis pipeline on genetic sequence data includes a integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits are arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the sequence analysis pipeline on the reads of genomic data. Each subset of the hardwired digital logic circuits is formed in a wired configuration to perform the one or more steps in the sequence analysis pipeline.

The application provides a molecular marker related to feed conversion rate of sheep and application thereof in breeding. The application finds that a T / C polymorphism site exists at the 233th position of an amplified fragment by performing PCR amplification and sequence analysis on an APOD gene of sheep, further detects the polymorphism site of 897 Hu sheep by using AQP primer pairs, establishes a least square model, performs correlation analysis on the genotypes and the feed conversion rate, and finally determines that the amplified APOD gene fragment can be used as the molecular marker related to the feed conversion rate of sheep. The molecular marker can be used for breeding of a new breed of high-quality meat sheep with grain-saving, and provides a genetic engineering means for genetic improvement of the feed conversion rate of sheep, and has great practical application value.

The invention relates to an mRNA (messenger Ribonucleic Acid) codon sequence language modeling method based on a bidirectional Mama framework, which comprises the following steps of: acquiring an mRNA coding sequence, performing sequence tokenization on the mRNA coding sequence, and querying by adopting a word list to obtain an embedding characteristic; the embedded features are sequentially input into a convolution feature extraction module and a state space module of a bidirectional Mamba model to generate collaborative representation, and meanwhile, each time step serves as an affine pair and is used for carrying out inter-block synthesis on block-level pairs to obtain a synthesis result; and inputting the collaborative representation and synthesis result into a bidirectional branch and linear fusion module to obtain a linear transformation fusion result, projecting the linear transformation fusion result to a word list dimension, obtaining a cross entropy and a model parameter used for training a bidirectional Mama model, and generating a target dimension vector of each sequence by using the trained bidirectional Mama model. According to the invention, the accuracy and expandability of mRNA sequence analysis and design can be improved.

The invention provides a multiplex PCR (polymerase chain reaction) primer combination and a sequencing analysis method for identifying a species of Schizothorax mali, and belongs to the technical field of molecular detection. According to the multiple PCR primer combination disclosed by the invention, a plurality of primer pairs are designed according to multiple key gene SNP locus areas of mitochondrial genomes (imagoes, larvae and pupae) of different forms and different populations and sibling species of the mitochondrial genomes, so that a plurality of target fragments can be synchronously amplified by single PCR reaction; the misjudgment caused by single gene variation or sequencing errors is effectively avoided, and the sibling species and the cryptic species with highly similar forms can be accurately distinguished. The invention further provides a multiple PCR and sequencing analysis method for identifying the species of the malodinia mali, targeted high-throughput sequencing is conducted on multiple PCR amplification products, sequence information of all key sites is obtained, the similarity of the sites to be detected can be obtained through comparison, and decisive data support is provided for high-throughput accurate identification of the species level of the malodinia mali.