7 results about "Sequence database" patented technology

The application relates to a method and system for mining and analyzing the correlation of clinical comorbidity of discharged patients. The method comprises the following steps: constructing an individual diagnosis and treatment narrative graph for each patient according to the discharge medical record text, generating a time sequence transaction sequence corresponding to each patient, and constructing a sequence database; based on the database, the original time sequence frequent pattern set is constructed by analyzing through an improved generalized sequence pattern algorithm; each pattern in the set is classified to obtain multiple classification clusters, and the original time sequence frequent pattern in each classification cluster is processed through multi-sequence alignment to construct a generalized clinical path graph, and the information in the generalized clinical path graph is extracted to generate a natural language abstract. The method improves the time sequence logic, knowledge abstraction degree and clinical interpretability of the clinical comorbidity correlation mining by constructing a diagnosis and treatment narrative graph, mining a time sequence frequent pattern, and constructing a generalized clinical path graph through clustering and multi-sequence alignment.

This invention relates to a method for predicting steel plate temperature during quenching heat treatment based on multi-task learning, belonging to the technical field of steel rolling heat treatment methods in the metallurgical industry. The technical solution of this invention is as follows: Key historical data of the quenching furnace heating process are collected through a standardized steel plate embedded coupler test system to construct a spatiotemporal sequence database for medium-thick plate quenching heat treatment; a spatiotemporal prediction model is constructed using a Transformer multi-task learning architecture, and a high-precision prediction model is finally trained; key historical data of the steel plate quenching furnace heating process are used as model input, and the predicted temperature of the core and tail sections of the medium-thick plate is output in real time. The beneficial effects of this invention are: it can effectively cope with the complex thermal field distribution and dynamic operating condition changes within the quenching furnace, achieving real-time and accurate prediction of the core temperature of medium-thick plates during quenching heat treatment, providing highly reliable and timely decision support and technical guidance for optimizing the quenching heat treatment process in hot-rolled steel plants.

The application discloses a method for collecting active proteins of water leeches, a detection method, an analysis method and application thereof, and relates to the technical field of biological medicines. The application provides the water leech seedlings treated by hunger and the living host treated by emptying, so that the water leech seedlings adsorb and suck the host, and then the active proteins are injected into the body of the host; the sample of the host after being sucked is collected, and then is made into a freeze-dried powder after being frozen and dried, so that the active proteins of the water leeches are obtained; the proteins are extracted from the freeze-dried powder, and then are subjected to enzymolysis treatment to generate peptide segments; the liquid chromatography-mass spectrometry technology is used to detect the peptide segments; and the mass spectrometry data are subjected to database searching analysis based on the protein sequence database of the water leeches and the host, so that the active proteins from the water leeches are identified and the relative content is determined. The application utilizes the characteristic that the active proteins are injected into the body of the host in the sucking process of the water leeches, and realizes efficient enrichment of the target proteins. In combination with the proteomics technology, high-throughput and high-sensitivity protein identification is realized.

This invention relates to the fields of molecular biology and forensic identification, specifically to a method for bird species identification based on multi-gene co-amplification and nanopore sequencing. The method involves extracting genomic DNA from avian biological samples; using the extracted DNA as a template, amplification is performed using four independent PCR primer pools that specifically target the avian mitochondrial cytochrome C oxidase subunit I gene, cytochrome B gene, 12S rRNA gene, and 16S rRNA gene; after purification of the amplification products, a nanopore sequencing library is constructed and sequenced; finally, bioinformatics analysis, including read length clustering, draft consensus sequence generation, and polishing, is performed on the raw sequencing data to obtain consensus sequences for each target gene. Species identification is then completed by comparing the sequence with a avian sequence database. This method effectively solves the problem that existing technologies cannot simultaneously meet the practical needs of large-scale, rapid, and high-success-rate identification of avian biological samples.

An artificial intelligence-based system comprises an input preparation module that accesses a sequence database and generates an input base sequence. The input base sequence comprises a target base sequence with target bases, wherein the target base sequence is flanked by a right base sequence with downstream context bases, and a left base sequence with upstream context bases. A sequence-to-sequence model processes the input base sequence and generates an alternative representation of the input base sequence. An output module processes the alternative representation of the input base sequence and produces at least one per-base output for each of the target bases in the target base sequence. The per-base output specifies, for a corresponding target base, signal levels of a plurality of epigenetic tracks.

The present disclosure provides a method, system and medium for intelligent typing of chikungunya virus, obtains CHIKV sequence data from a public database, performs quality control, uses an artificial intelligence model to extract typing reference sequences of CHIKV, and then compares the sequence data with the typing reference sequences one by one. If the comparison result of the sequence data and a certain typing reference sequence is similarity>99% and sequence coverage>99%, the sequence information of the typing reference sequence is supplemented to the sequence data, and a typing sequence database is generated. The present disclosure uses an artificial intelligence model to realize automatic extraction, semantic alignment and standardization of multi-source data, solves the bottleneck of data dispersion and metadata loss, realizes intelligent typing of chikungunya virus, encapsulates complex bioinformatics processes into a "one-key" online tool, significantly reduces the technical threshold, enables grassroots personnel to independently complete high-level analysis, and provides real-time, visual molecular evidence and risk prompts for epidemic prevention and control.