38 results about "Representative sequences" patented technology

Embodiments are directed to indexing and querying a sequence of hash values in an indexing matrix. A computer system accesses a document to extract a portion of text from the document. The computer system applies a hashing algorithm to the extracted text. The hash values of the extracted text form a representative sequence of hash values. The computer system inserts each hash value of the sequence of hash values into an indexing matrix, which is configured to store multiple different hash value sequences. The computer system also queries the indexing matrix to determine how similar the plurality of hash value sequences are to the selected hash value sequence based on how many hash values of the selected hash value sequence overlap with the hash values of the plurality of stored hash value sequences.

The invention provides a lathyrus quinquenervius EST-SSR primer group developed based on transcriptome sequencing, a method and application. The method comprises the steps of obtaining a set of all root, stem and leaf transcripts of two lathyrus quinquenervius varieties of different flower colors at a seedling stage to form an original sequence database; removing low-quality sequencing data with a joint and forming a high-quality filtered sequence database; splicing high-quality filtered sequences, reducing the transcripts and carrying out BLAST comparison on the transcripts and a reference protein database NR, reserving the optimal comparison result and determining the maximal sequence as a Unigene representative sequence; carrying out SSR locus scanning in Unigene by using MISA 1.0; and carrying out SSR primer design by adopting primer 3.0, screening SSR primers and carrying out fingerprint map construction on 43 parts of lathyrus quinquenervius materials. The lathyrus quinquenervius EST-SSR primer group is convenient, fast, accurate, low in cost, and a new thought is provided for the development of lathyrus quinquenervius EST-SSR primers and germplasm resources identification.

The invention discloses a first-person-view gesture recognition method based on a dynamic image and a video subsequence, which relates to the field of first person angle of view gesture recognition. The method comprises the steps of: 1, collecting color video and depth video, and preprocessing the video to obtain video data; 2, constructing a dynamic image and extracting a video representative sequence according to the video data; 3, inputting the representative sequences of the dynamic image and the video into the fine-tuned neural network model to obtain the features, and inputting the feature into the SVM classifier to obtain the category probability; 4, carrying out fusion on that category probability to complete gesture recognition. The present invention solves the problems of complicated gesture recognition feature extraction process based on depth learning and low precision, and achieves the effects of simplifying gesture recognition process and improving recognition precision.

The invention discloses a method for detecting the community structure and abundance of ammonia oxidizing bacteria in a wastewater system. The method comprises the following specific steps: (A) extracting all genome DNA (Deoxyribonucleic Acid) of microorganisms in active sludge of the wastewater system; (B) performing PCR (polymerase chain reaction) amplification by taking all genome DNA as a template and taking amoAlF with a sequence number of SEQ ID No.1 and amoA2R with a sequence number of SEQ ID No.2 as primers; and (C) sequencing an amplification product by adopting a Roche 454 pyrosequencing process, dividing an operational taxonomic unit for a sequencing result by applying a Mothur program, performing online BLASTn comparison on representative sequences with the similarity of 99% in the operational taxonomic unit and sequences disclosed in a database GenBank, and dividing a system evolutionary tree according to a comparison result to obtain the community structure distribution and abundance of the ammonia oxidizing bacteria. The method is simple to perform, low in cost, quick in detection and high in sequence analysis accuracy, can be used for qualitatively analyzing different community structures of the ammonia oxidizing bacteria and quantitatively analyzing the abundance of different species of the ammonia oxidizing bacteria, can be used for simultaneously analyzing a plurality of samples, and is relatively high in practicality and easy to popularize and apply.

The invention provides a correlation-associated wind power output scene construction method. The method comprises the following steps: firstly, according to a historical output data statics result of a wind power field, extracting a representative wind power output edge probability distribution function and an output correlation index matrix among the wind power fields; calculating a representative sequence matrix in advance by adopting an off-line mode; and when a wind power output scene needs to be constructed, Latin hypercube sampling is carried out according to a wind power probability prediction result, a sampling matrix is sorted by directly adopting the sequence matrix which is calculated in advance to quickly construct the wind power output scene with correlation, so that the on-line calculation time of scene construction is greatly shortened to meet the practical requirements of engineering.

The invention discloses a microbial community functional gene analysis method based on protein sequence similarity. The microbial community functional gene analysis method comprises the following steps: sequence impurity removal step; sequence comparison step; protein sequence processing step; protein sequence representative sequence processing step; and species annotation step. According to the method, compared with the OUT method, the data analysis is more simplified, and merged protein classification units are more centralized. An amino acid sequence rather than a nucleic acid sequence is taken as a basis for sequence merging. Factors such as degeneracy and termination codons are fully considered. For a target fragment of a specific functional gene, the method has enough good directivity, and interference sequences except the target fragment can be effectively eliminated.

The invention is suitable for the technical field of biology and provides a detection method and system for flora markers and a terminal. The method comprises the steps that flora sample data is acquired; according to representative sequences of strain classifications units, by adopting a system development tree algorithm, the similarity of different strain classifications units is acquired, and acorresponding similarity matrix is obtained; according to sample type markers, the abundance of the strain classifications units to which different strains belong, and the similarity matrix, througha generalized lasso regression algorithm model, a target regression coefficient vector corresponding to a set fitting effect is obtained; the strain classifications units, corresponding to nonzero coefficient elements, in the target regression coefficient vector are determined as target flora markers, and the effectiveness of the screened flora markers is improved.

The invention provides a system generation tree diagram manufacturing method and a system thereof, wherein the system generation tree diagram manufacturing method comprises the steps of clustering microbe genome second-generation sequencing data, clustering the microbe genome sequence with similarity which is higher than a preset threshold for forming one OTU, wherein each OUT corresponds with onemicrobe kind, and generating OTUs table data; screening a representative sequence in the OTUs table data; comparing the screened representative sequence with reference sequence data, if similarity ishigher than or equal with a preset threshold, determining successful comparison; and otherwise, determining failed comparison; respectively storing the representative sequence after successful comparison and the sequence after failed comparison into a successful comparison set and a failed comparison set; screening the successful comparison sequence which contains preset information from the successful comparison set, and generating a phylogenetic tree file; and performing patterning processing on the phylogenetic tree file and generating a phylogenetic tree diagram.

The invention discloses a method for monitoring the diversity of freshwater benthic animal communities based on an environmental DNA technology. The method comprises the following steps: (1) collecting a surface water sample; (2) filtering a water sample and extracting eDNA; (3) carrying out PCR amplification; (4) performing high-throughput sequencing to obtain a representative sequence of the OTU; (5) establishing a benthonic animal comparison database; and (6) comparing the established benthonic animal database, and performing species annotation on the OTUs representative sequence of the sample to be detected. The method has the advantages of simple sampling, low labor cost, convenient and fast detection, and no need of morphological identification of benthonic animals.

The invention relates to a bungatotoxin antigen epitope gene and application of the bungatotoxin antigen epitope gene to the preparation of a gene vaccine and an antigen. Two representative sequences are extracted from each of a long chain of alpha-BGT, chains A and B of beta-BGT and kappa-BGT of a cDNA sequence of bungatotoxin, the signal peptide and propeptide parts of the sequences are removed, mature peptide parts are collected, 10 antigen sites are obtained through analysis by a bioinformatics method, and a gene sequence containing the 10 sites is manually synthesized, and is connected to an eukaryotic expression vector pIRESneo to immunize an animal as the gene vaccine to obtain an anti-bungatotoxin neutralizing antibody; the sequence can also be connected to a prokaryotic expression vector PET-28a and then transformed to expression bacterium BL21 to induce the expression of the protein, and the target protein is separated to immunize the animal as an immunogen to obtain the anti-bungatotoxin neutralizing antibody.

The invention discloses a data analysis method, device and equipment and a storage medium. The method comprises the following steps: reading sequencing data of at least one sample; determining a representative sequence according to the sequencing data; counting depth information of the representative sequence in each sample; and analyzing the representative sequence and the depth information of the representative sequence in each sample. Through the technical scheme of the invention, the components can be detected more completely and accurately, and the detection sensitivity and integrity areexpanded.

The invention discloses a method for designing a nucleic acid capture probe for HLA typing. The method includes the steps: 1) constructing HLA-A, HLA-B, and HLA-C sequence libraries; 2) performing multiple sequence alignment, searching for SNP loci on Exon2 and Exon3 and upstream and downstream of each gene; 3) using a sliding window separation algorithm to select regions that cover a predetermined number of SNP loci as probe design candidate regions; 4) performing cluster analysis to obtain the representative sequences of the respective probe design candidate regions as candidate probes; and5) deduplicating the all candidate probes to obtain the respective capture probes of the three genes. The invention also discloses a probe designed by the above method, and its sequence is shown in SEQIDZNO: 9-88. The method designs the nucleic acid capture probes for all polymorphic loci in the Exon2 and Exon3 regions with a GC ratio of more than 60% in the HLA gene, thereby improving the effectof hybridization capture of the HLA gene probe.

The invention belongs to the technical field of genetic engineering, and discloses an application of a short DNA sequence in the identification of citrus groups and citrus seedlings. Primer sequencesfor identifying the short DNA sequence are SEQ ID NO:1 and SEQ ID NO:2. The invention also provides representative sequences in main citrus groups of the sequence defined by the primers, and a SNP, SSR and Indel combination characteristic table of the representative sequences. The citrus genome is amplified by the given primers, a target short sequence is obtained and the cloning and sequencing analysis are performed, and the heterozygous state, citrus group and citrus seedling of a citrus can be identified according to the fragment SSR, Indel and/or SNP variation characteristics or change combination. The analysis and identification of citrus fruit tree different materials are completed by cloning and sequencing the specific short sequence, and comparing characteristics of the sequencingsequence. The citrus fruit trees are classified into groups through performing genome amplification, cloning and sequencing on sequences and performing comparison and analysis with the combination characteristic table.

The invention discloses an NGS data analysis method of enteromicroorganism 16 S rRNA, which comprises the following steps: 1), carrying out database preparation: finding out a sequence capable of being expanded by a V4 universal primer from SILVA132 and Duengene13-8-16S databases, cutting off the V4 universal primer from the sequence to obtain a 254bp sequence, respectively intercepting 125bp sequences from positive and negative directions, and connecting the bidirectional 125bp sequences; obtaining a sequence of which the length is 250bp; 2), training a feature classification trainer: training the sequence in the step 1) and the corresponding classification information by using a naive Bayes classifier of the qiime2 to obtain a more accurate feature classifier; 3), evaluating the accuracy, namely deducing the mixed sequencing sample by using a simulated microbial community and DADA2, and comparing the deduced mixed sequencing sample with real annotation information; and 4), performingdiversity analysis: executing multi-sequence alignment on the representative sequence by using a mafft program, and generating a phylogenetic tree based on the filtered alignment result by applying FastTree. The data utilization rate is improved, and the detection effect of longer read-length sequencing can be achieved.

The invention provides a vomitoxin specific nucleic acid aptamer and application thereof. According to the aptamer, deoxynivalenol (DON) is taken as a target, a competitive SELEX technology is utilized for seven rounds of repeated incubation, cleaning, dissociation, amplification and lambda-exonuclease digestion, and the nucleic acid aptamer capable of being specifically combined with DON is screened from a single-stranded DNA random library. After cloning, sequencing and synthesizing two representative sequences, affinity determination is performed on the representative sequences through SPR and PCR methods, the nucleic acid aptamer DO8 capable of being specifically bound with deoxynivalenol (DON) is obtained, and the sequence is shown as SEQ ID NO: 1. The nucleic acid aptamer provided by the invention has high specificity, can be combined with DON with high affinity, and can be used for rapid detection of polluted DON in agricultural products.

The invention discloses a hydrological time series prediction model dynamic generation method, which comprises the following steps of: acquiring water level data of a corresponding hydrological station, organizing into a hydrological time series data set and preprocessing; clustering is carried out on the segmented and symbolized sequences in combination with improved symbol distance UMD and DBSCAN clustering; dynamically forming a similar sequence set for each to-be-matched sequence and constructing and training a model, firstly measuring the distance between a representative sequence and a to-be-matched symbolized sequence and selecting similar categories to form candidate sets, secondly screening the similar sequence candidate sets by adopting an improved DTW algorithm, constructing the similar sequence set, and finally optimizing TCN model parameters to obtain a TCN model; training the model by using the similar sequence set to obtain a hydrological time sequence prediction model based on similarity search; the model obtained by the hydrological time series prediction model dynamic generation method is subjected to water level prediction, and the accuracy is higher.