9 results about "Annotation database" patented technology

The application relates to a mycobacterium tuberculosis drug resistance phenotype prediction method and device and a computer device. The method comprises the following steps: determining a to-be-predicted mutation site which does not exist in a mutation phenotype annotation database from at least one mutation site of a target gene fragment of to-be-processed mycobacterium tuberculosis according to gene sequencing data of the mycobacterium tuberculosis; converting protein structure change data of the to-be-predicted mutation site according to protein structure data corresponding to the to-be-predicted mutation site; inputting the protein structure change data of the to-be-predicted mutation site into a drug resistance phenotype prediction model to obtain a predicted drug resistance phenotype of the to-be-predicted mutation site; and determining a drug resistance phenotype prediction result of the to-be-processed mycobacterium tuberculosis based on the predicted drug resistance phenotype of the to-be-predicted mutation site and drug resistance phenotypes of the mutation sites except the to-be-predicted mutation site. The method can effectively improve the mycobacterium tuberculosis drug resistance phenotype prediction efficiency.

The invention provides a robot body data labeling method and device based on an artificial intelligence large model, and the method comprises the steps: obtaining the multi-modal original data of a robot during task execution, and carrying out the standardization processing of the original data, and obtaining the standardized data; performing multi-modal semantic understanding and analysis on the standardized data based on an artificial intelligence large model, and reversely generating a structured task description; and generating a structured labeling result according to the structured task description, and storing the structured labeling result into a labeling database. According to the method and the device provided by the invention, data format conversion and data enhancement are performed on the robot body data through the large model, so that the consistency of the data annotation source data file and the annotation result is realized. A unified semantic understanding standard is provided, subjective deviation of manual annotation is eliminated, semantic and time sequence synchronization of language, vision and action is guaranteed through an end-to-end multi-mode alignment mechanism, the labor cost is greatly reduced through an automatic process, and large-scale data production is supported.

The invention discloses a feature labeling method and device based on vision, a medium and a product, and relates to the field of image processing. The method comprises the following steps: calculating the confidence of a target feature of a to-be-detected image through a feature recognition model; if the confidence coefficient is smaller than a preset confidence coefficient threshold value, determining that the to-be-detected image is a to-be-calibrated image; extracting a first preset number of first feature sequences from a historical annotation database; acquiring an annotation instruction of a quality inspector on the to-be-calibrated image; if the labeling instruction shows that the target feature is the newly added feature of the second feature sequence, labeling the to-be-detected image as a defect type corresponding to the second feature sequence, and adding the to-be-detected image to the tail end of the second feature sequence to obtain a third feature sequence; and incremental training is carried out on the feature recognition model to obtain an updated feature recognition model, and the updated feature recognition model is used for image recognition and annotation. By implementing the technical scheme provided by the invention, the robustness of feature labeling can be improved.

The invention discloses a radiotherapy scheme decision-making method and system based on a tumor classification labeling database. The method comprises the following steps: collecting historical spinal tumor radiotherapy data of a patient; labeling the historical spinal tumor radiotherapy data to obtain a classification labeling database; historical text data, historical medical image data and historical multi-source time sequence data of multiple systems in a hospital are collected, and multi-modal fusion data are obtained; mapping the multi-modal fusion data and the classification annotation database to obtain historical diagnosis and treatment data; collecting current case data; and matching the current case data with the historical diagnosis and treatment data to obtain a radiotherapy scheme decision result. The scheme of the invention effectively solves the problems of insufficient utilization of existing spinal tumor radiotherapy data and lack of data support in decision making.

The application provides a method and related equipment for screening potential pathogenic variants and genes, the method comprising: obtaining a gene sequencing variant file of a subject, the gene sequencing variant file containing variant site information; selecting a first annotation database to annotate the variant site information in the gene sequencing variant file to obtain a variant annotation file; screening the variant site information in the variant annotation file according to a predetermined variant screening condition to obtain a variant screening file; and selecting a second annotation database to supplement the annotation of the variant site information in the variant screening file to obtain a potential pathogenic variant file. The method and related equipment for screening potential pathogenic variants and genes provided by the application have high screening efficiency, can filter out a large number of variant sites with less biological significance, retain more valuable variant site information, provide a good foundation for downstream analysis, reduce the workload of interpreters, and save time and effort.

The invention relates to the technical field of microbiology, in particular to a microbial metagenome annotation database suitable for a specific application scene and a construction method, device, system and application thereof. Compared with the prior art, the method for constructing the microbial metagenome annotation database aiming at the specific application scene is provided, the accurate annotation capability of the database on the seed level and the strain level of the specific application scene can be improved by adopting the construction method, and the method has the characteristics of being complete and precise.

The invention discloses an Escherichia coli alkali-resistant target spot and application thereof, an inhibition model of pH on Escherichia coli E.coli AG1 is established by setting LB culture media with different pH values, and it is found that the inhibition degree of cell growth is positively correlated with the rise of pH. Under the condition that the pH value is equal to 10, the escherichia coli overexpression library ASKA is subjected to high-throughput screening, and 43 alkali-tolerant elements are obtained after multiple rounds of screening. The obtained gene is subjected to KEGG / GO enrichment analysis through an online gene function annotation database DAVID, an EcoCyc database and related literatures are looked up, an alkali tolerance mechanism is predicted, and it is found that the alkali tolerance mechanism is possibly related to biological membrane formation, intracellular pH steady state maintenance, intracellular ROS level reduction and the like. Through overexpression of the genes, the strain can adapt to an environment under alkali stress, the alkali tolerance of the strain is improved, and the strain has a good application prospect.

The invention discloses an analysis method for automatically processing metagenome high-throughput sequencing data binning to obtain a viral genome, which comprises the following steps: acquiring second-generation sequencing original data, and performing data quality control to obtain Reads to be analyzed; a plurality of Reads are assembled into an overlapping group through overlapping of fragments, statistics is conducted on the overlapping group, and a length distribution diagram is drawn; reconstructing a viral genome based on contig binning, and generating a box after sequence clustering; constructing a three-dimensional matrix of all boxes according to the attributes of the sequence, and predicting and identifying the species category of each box; carrying out quality identification on the virus box bin, and detecting and rejecting virus host genes; counting the abundance of the virus box bin in each sample to generate a virus box bin abundance table; constructing a virus annotation database, completing species annotation, constructing a virus evolutionary tree, and finally generating a report. The invention further discloses an analysis system and application for implementing the analysis method.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a genetic interpretation system device integrating multi-variation annotation and intelligent scoring, which comprises a variation information acquisition module used for collecting illness conditions of each member in a family to be analyzed and exon variation site information of each member, performing comparative analysis according to the collected information and data in a preset database to determine a variation type, and generating a genetic variation information data set; the annotation database construction module is used for constructing an annotation database and storing and managing a genetic variation information data set; the intelligent scoring module is used for calling the genetic variation information data set stored in the annotation database and generating an analysis result; and the report generation module is used for generating a report according to the analysis result. The system can assist doctors in genetic disease analysis, and a genetic diagnosis report is automatically generated through the report generation module, so that the credibility of the report is improved.