39 results about "Biosequence" patented technology

The invention provides an analytic method of a biological sequence, which comprises the following steps: firstly, calculating the clearance spectrum of the biological sequence, calculating the distance between two adjacent characters in the biological sequence, and respectively calculating the occurrence frequency of the identical distance among the characters to form a clearance spectrum; secondly, calculating the similarities among different biological sequences; and thirdly deriving the homology or the biological functions of the different biological sequences. The analytic method of the biological sequences has the advantages of high speed, high sensitivity, high accuracy, and the like.

The present invention relates to methods for identifying the source of a biological sequence containing sample from raw sequencing reads. The method may be used to identify the source of unknown DNA and can be used for diagnostic, biodefense, food safety and quality, and hygiene applications. In another aspect the invention relates to a database of reference sequences which can be used in the method of the invention.

Systems, methods and non-transitory computer-readable media identify a candidate biological sequence for enabling a function in a host cell. Embodiments access a predictive model that associates a plurality of biological sequences, such as enzymes, with one or more functions, such as reaction catalysis; predict, using the predictive model, that one or more candidate sequences of the plurality of biological sequences enable a desired function; and classify using a processor, candidate sequences that satisfy a confidence threshold as filtered candidate sequences.

In a dynamic computing environment, it is a nontrivial task to verify code running in the environment because most approaches to software similarity require extensive and time-consuming analysis of a binary, or the approaches fail to recognize executables that are similar but nonidentical. A biosequence-based method for quantifying similarity of executable binaries is used to identify allowed codes in a real-world multi-user environment.

A device for compressing subject data. the device comprises a communication link, the communication link capable of receiving a set of subject data; a compression module, the compression module configured to apply a compression algorithm to the set of subject data, the compression algorithm compressing the set of subject data using a reference string of subject data; and a transmission module, the transmission module configured to transmit the compressed subject data. The device further comprising an encryption module for encrypting the subject data.

A device for compressing subject data, the device comprises a communication link, the communication link capable of receiving a set of subject data; a compression module, the compression module configured to apply a compression algorithm to the set of subject data, the compression algorithm compressing the set of subject data using a reference string of subject data; and a transmission module, the transmission module configured to transmit the compressed subject data. The device further comprising an encryption module for encrypting the subject data.

The present invention relates to a similarity analysis method based on a negative sequence pattern of a biological sequence, a realization system and a medium, including: (1) data preprocessing: the letters in the DNA sequence are represented by numbers; and divided into several blocks, Several blocks obtained are used as data sets for frequent pattern mining; (2) frequent pattern mining: use the f-NSP algorithm to mine data sets; (3) graphically represent the maximum frequent positive and negative sequence patterns; Negative sequence patterns are transformed into digital sequences; (4) DNA sequence similarity analysis: the similarity of different DNA sequences is obtained, and the corresponding DNA sequence with the smallest similarity is selected as the DNA sequence to be studied. The invention can effectively express and analyze negative sequences, and can obtain different analysis results by selecting different combinations of maximum frequent patterns, thereby greatly saving computer memory and time consumption.

This application relates to a microbial metagenomic analysis system and method for aerobic composting of kitchen waste, which belongs to the technical field of bioinformatics. The system includes: a browser to obtain target biological tags, target primer sequences and target high-throughput sequencing data; The server splits the target high-throughput sequencing data according to the target biological tags and target primer sequences to obtain at least one set of biological sequences; at least two sets of biological sequences are analyzed by at least two biological information analysis tools to obtain at least two Analysis results; glue at least two analysis results through the glue program to obtain the biological taxonomy report; analyze the key microbial species on the biological taxonomy report through multivariate mathematical analysis to obtain the analysis results; send the analysis results to the browser for display; can improve the microbial macro Increase the efficiency of gene analysis and reduce the difficulty of analysis.

The invention discloses a cross-species biological pathway discovery method based on graph matching. The invention aims to solve the problem of low efficiency in discovering biological pathways by using traditional biochemical experimental methods, and cannot well combine biological sequence similarity with existing graph matching algorithms. and protein interaction network structural similarity problem. Through the present invention, the similarity of biological sequences and the similarity of network structures can be well integrated, and larger substructures coexisting in the protein interaction network of different species can be found, so as to more effectively find biological species with similar functions existing in different species Pathways have guiding significance for biological research on the connection between different species.

In a first aspect, the present invention relates to a computer-implemented method for obtaining information on a biological entity which is based on at least one biological sequence, comprising: (a) providing a repository of fingerprint data strings for a biological sequence database, each fingerprint data string representing a characteristic biological subsequence made up of sequence units, each characteristic biological subsequence having in the biological sequence database a combinatory number which is lower than the total number of different sequence units available thereto, the combinatory number of a biological subsequence being defined as the number of different sequence units that appear in the biological sequence database as a consecutive sequence unit of the biological subsequence; (b) determining one or more fingerprint data strings which are representative for the biological entity; (c) searching a repository comprising information associated with the fingerprint data strings for information associated with the one or more representative fingerprint data strings; and (d) processing the information.

The invention discloses a method for integrating annotations of multiple types of biological sequences, comprising: selecting one biological sequencing data from biological sequencing data as a main biological sequence set, and the rest as auxiliary biological sequence sets; establishing a sequence-gene association mapping set; According to the gene transcription start point, the basic association region and the extended association region of the gene are obtained; for the sequence of the main biological sequence set, the extended association region of the gene is traversed, and if the region where the sequence is located overlaps with the extended association region of a gene, then the Sequence-gene association mapping of genes and sequences; the hypergeometric test and binomial test are used to calculate the significance of the results of reference data applied to the biological sequence annotations in the sequence-gene association mapping set; the annotations obtained by the two methods are sorted separately, and Add up the sequence numbers of the same annotations and then sort them again as the annotation results of various biological sequence data. The invention realizes the annotation of various features, and has application value in the medical field.