189results about "DNA computers" patented technology

The invention discloses an energy storage frequency modulation instruction prediction method and system with complementary advantages, and relates to the field of energy storage frequency modulation instruction prediction.The method comprises the steps that VMD decomposition and CEEMDAN decomposition are conducted on a frequency modulation instruction to be predicted, and a first subsequence set and a second subsequence set are obtained respectively; sequence interspersing is carried out, and first judgment is carried out; carrying out sequence fragment exchange on all mutually matched subsequences based on the result of the first judgment; predicting the subsequences after sequence fragment exchange through a GRU network, and correcting a prediction result to obtain a final energy storage frequency modulation instruction prediction result; according to the method, the advantages of VMD and CEEMDAN decomposition methods are integrated, the influence of noise and initial conditions on the decomposition effect is reduced, and the stability and reliability of decomposition are improved; the prediction accuracy of the frequency modulation instruction is improved; the size of the frequency modulation instruction is predicted in advance, the super capacitor / battery acts in advance, the response time difference is reduced, and the profit value of the power plant is improved.

In some embodiments, a method for encrypting a file includes receiving a file comprising file data and file metadata; retrieving a genomic differentiation object and genomic regulation instructions that define a set of operations that modify the genomic differentiation object; modifying the genomic differentiation object into a modified genomic differentiation object based on the genomic regulation instructions; extracting a sequence of bits from a predetermined set of bit locations of the file metadata; generating a genomic engagement factor based on the modified genomic differentiation object and the extracted sequence; and encrypting at least one portion of the file data using the genomic engagement factor.

The invention discloses a deep learning-based mixed-shooting image correction method and system, and relates to the field of computer vision, and the method comprises the steps: carrying out the illumination normalization processing of a mixed-shooting image group, and constructing a Gaussian pyramid image group; inputting the Gaussian pyramid image group into a ResNet-34 network to extract a multi-scale feature map, and generating spatial position and channel statistical information; and converting the spatial position and the channel statistical information into a DNA sequence fragment through a DNA base mapping rule. Illumination normalization is achieved through Retinex decomposition and Gaussian filtering, the exposure difference of different devices is effectively eliminated, the input quality of follow-up processing is guaranteed, traditional feature description is converted into biological sequence comparison through DNA base coding, geometric parameters are optimized in combination with quantum annealing, and the accuracy of the method is improved. The matching precision of a low-texture area and the correction effect of a large-view-angle-difference scene are remarkably improved, and the sub-pixel-level matching precision is achieved based on weighted RANSAC and multi-scale pyramid fusion.

The invention discloses a multi-parameter cooperative control method for non-excavation repair of a drainage pipe network in urban updating, and relates to the technical field of municipal engineering, and the method comprises the steps: firstly constructing a quantum entanglement sensing pipe network digital twinborn model, fusing multi-source data, monitoring micro-strain in real time through a nano sensor, deploying a self-organizing intelligent node and terahertz imaging equipment, and constructing a quantum entanglement sensing pipe network digital twinborn model; multi-dimensional features are extracted, repair parameters are dynamically regulated and controlled through technologies such as magnetofluid plugging and multi-robot cooperation based on digital twinning virtual simulation, finally, the repair effect is evaluated and the scheme is optimized in combination with cognitive calculation and microbial self-healing technologies, and full-process intelligent control is achieved. The intelligent level of non-excavation repair of the drainage pipe network is improved, the problem that traditional monitoring is one-sided is solved through high-precision data fusion, precise construction control is achieved through cooperation of magnetofluid leaking stoppage and the robot, durability is enhanced through the microorganism self-healing technology, repair quality and efficiency are improved, and urban updating and sustainable development are promoted.

The present disclosure, among other things, provides machine-learning technologies for identifying and localizing particular genomic elements (e.g., gene elements and / or regulatory elements) within nucleotide sequences, such as DNA and / or RNA sequences. In certain embodiments, similar to the manner in which image processing methods can be used to localize particular objects in images at pixel level resolution, referred to as “segmentation,” systems and methods of the present disclosure predict presence and locations of certain genomic elements within nucleotide sequences, thereby “segmenting” nucleotide sequences. Accordingly, genomic element segmentation technologies described herein may be used to generate annotations that identify and label portions of nucleotide sequences according to their predicted (e.g., via machine learning models described herein) function—e.g., as protein-coding genes, untranslated regions, splice sites, promotors, enhancers, etc. Among other things, these genomic annotations may be used to inform underlying biological processes driving diseases and facilitate development of new therapies.

The invention provides an invasive species identification method and device based on deep learning and DNA storage and electronic equipment, and relates to the technical field of invasive organism prevention and control, and the method comprises the steps: obtaining a to-be-identified invasive species image, and generating a first DNA sequence of a to-be-identified invasive species in the invasive species image through a deoxyribonucleic acid DNA encoder; obtaining a plurality of second DNA sequences to be hybridized from the invasive species database, and obtaining the hybridization yield of the first DNA sequence and each second DNA sequence by using a hybridization yield predictor; and determining the species category corresponding to the DNA sequence with the highest hybridization yield as the species category of the invasive species to be identified. According to the method provided by the invention, the strong feature extraction capability of deep learning is combined with the advantages of ultrahigh density and ultra-long stability of DNA as a data storage medium, so that end-to-end mapping and recognition from a species image to an exclusive DNA sequence thereof are realized.

A DNA-based storage system implements a sub-code architecture for error correction capability (ECC) purposes. The sub-code architecture enables a long DNA strand to be divided into two or more short DNA strands. Each short DNA strand has its own unique parity information. Additionally, each short DNA strand is separately decodable from the other short DNA strands. The parity information associated with a particular short DNA strand is used to correct any errors that occur or are detected during the decoding process. However, if the decoding and error correction processes are not successful using the parity information associated with the particular short DNA strand, global parity information is used to decode the particular short DNA strand and correct the errors. Global parity information includes information from each short DNA strand and the parity information associated with each short DNA strand.

A cryoelectron microscope density map refinement method based on a mixed attention mechanism belongs to the field of bioinformatics, and comprises the following steps: firstly, constructing a training data set containing an experimental density map and a corresponding atomic structure, extracting feature embedding representation of the atomic structure by using a protein large language model, and generating a corresponding simulated density map according to the atomic structure; cutting each experimental density map and the corresponding simulated density map into blocks; thirdly, the experimental density map blocks and the structural features are embedded and input into a Transform deep learning network based on a mixed attention mechanism, and prediction density map blocks are generated; then calculating a loss difference value between each group of prediction density map blocks and the corresponding simulation density map block, and updating network parameters through a back propagation difference value; and finally, segmenting a to-be-processed cryoelectron microscope density map into a plurality of density map blocks, and predicting and assembling the density map blocks through the trained network to obtain a final refined density map. The method can improve the quality of the density map, and is high in robustness.

The present disclosure is directed to compositions and methods that use the principles of DNA origami to package and archive data stored in multiple indexed DNA oligonucleotides. These structures allow for selective physical data access and retrieval from a molecular pool of DNA origami (DNAO) nanostructures comprising the data bearing oligonucleotides.

A method for storage of an item of information (210) is disclosed. The method comprises encoding bytes (720) in the item of information (210), and representing using a schema the encoded bytes by a DNA nucleotide to produce a DNA sequence (230). The DNA sequence (230) is broken into a plurality of overlapping DNA segments (240) and indexing information (250) added to the plurality of DNA segments. Finally, the plurality of DNA segments (240) is synthesized (790) and stored (795).

The invention provides a Word document processing method and system based on a DNA genetic model, and relates to the technical field of document processing, and the method comprises the following steps: carrying out homogenization determination on two basic Word documents; splitting the document which is judged to be homogeneous into a chain A and a chain B, and performing variation processing on a title block; crossing and recombining to form two sub-documents; and evaluating the sub-documents based on the adaptive function, and adding the sub-documents with evaluation results higher than a threshold value into a resource pool. According to the method, diversified documents are generated by simulating a DNA genetic mechanism, the document generation efficiency is improved, different user requirements are met, and the content creation cost is reduced.

A system is provided for generating an electronic data fabric using virtualized photocrosslinking-based parallel computing process. In particular, the system may, using an artificial intelligence (“AI”) model, identify one or more users and a subject or description of a communication in order to determine the data needs of the one or more users, where such data may reside within one or more databases, websites, applications, tools, and / or the like. The system may then use a simulated photocrosslinking based process to assimilate various combinations of datasets and place the data sets within a virtualized environment. The virtualized data may then be linked to a data fabric to identify the linkages and / or sublinkages between the virtualized data and the underlying data. Subsequently, upon receiving a data request from a user, the system may use the metadata within the data fabric to dynamically recall the relevant data in real time.

The present invention relates to the field of data storage, and discloses a DNA-based dynamic balancing system, a data storage method, and a decoding method. During the process of encoding the first data to obtain a DNA molecular chain, various constraints are added to the first address and the second address, enabling the encoded data to be read efficiently and accurately. For example, the Hamming distance between the first address and the second address is greater than or equal to half of the length of the first address, reducing the possibility of address selection errors during reading; the prefix of the first address is different from the prefix of the second address and the suffix of the second address, avoiding the possibility of matching errors during the reading process; the content of guanine and cytosine in the prefix of each primer accounts for a preset ratio of the total content of guanine, cytosine, adenine, and thymine contained in the primer, resulting in high accuracy when sequencing is required to read the encoded data in advance.

Compositions, methods, and systems for handling liquids, for example, liquids containing one or more biological substances or chemical reagents, or combinations thereof. The liquid can be an "ink" containing nucleic acids (e.g., DNA) for "nucleic acid "printing" or "writing." These nucleic acids can include one or more components of nucleic acid molecules that encode digital information ("identifiers") that can be used in methods and systems for encoding digital information in nucleic acid. Described in this specification are technologies including an ink supply system and associated ecosystem for a DNA writing device for use with the technologies for encoding, storing, reading, and / or processing digital information in nucleic acid molecules.

Presented herein are writeable polymers (e.g., writeable nucleic acid polymers) and related methods for data storage. In general, writeable polymers (e.g., nucleic acid polymers) contain one or more convertible residues (e.g., convertible nucleic acid bases) that can be converted from a first state to a second state, and the first state and the second state are different. Various methods, such as polymerase extension by rolling circle reaction or chemical synthesis and ligation, can be used to generate writeable nucleic acid polymers. Also presented herein are various methods for writing or encoding into writeable nucleic acid polymers by selectively converting nucleic acid bases to a second state. Also presented herein are various methods for reading or decoding data from encoded nucleic acid polymers.

The present disclosure, among other things, provides machine-learning technologies for identifying and localizing particular genomic elements (e.g., gene elements and / or regulatory elements) within nucleotide sequences, such as DNA and / or RNA sequences. In certain embodiments, similar to the manner in which image processing methods can be used to localize particular objects in images at pixel level resolution, referred to as "segmentation," systems and methods of the present disclosure predict presence and locations of certain genomic elements within nucleotide sequences, thereby "segmenting" nucleotide sequences. Accordingly, genomic element segmentation technologies described herein may be used to generate annotations that identify and label portions of nucleotide sequences according to their predicted (e.g., via machine learning models described herein) function – e.g., as protein-coding genes, untranslated regions, splice sites, promotors, enhancers, etc. Among other things, these genomic annotations may be used to inform underlying biological processes driving diseases and facilitate development of new therapies.

A messenger RNA (mRNA) vaccine has emerged as a promising direction to combat the COVID-19 pandemic. This requires an mRNA sequence that is stable and highly productive in protein expression, features to benefit from greater mRNA secondary structure folding stability and optimal codon usage. Sequence design remains challenging due to the exponentially many synonymous mRNA sequences encoding the same protein. The present disclosure presents embodiments of a linear-time approximation (LinearDesign) reducing the design to an intersection between a Stochastic Context Free Grammar (SCFG) and a Deterministic Finite Automaton (DFA). Embodiments of the LinearDesign may implement an mRNA sequence design using much reduced time with very limited loss. Various methodologies, e.g., finding alternative sequences based on k-best parsing or directly incorporating codon optimality, are presented for incorporating the codon optimality into the design. Embodiments of the LinearDesign may provide efficient computational tools to speed up and improve mRNA vaccine development.

The invention provides a multimodal transport alternative path and transport scheme generation method based on road network node interruption. The method comprises the following steps: acquiring road network interruption information; if the road network interruption information is updated, for each original path, judging whether the original path comprises the road network interruption information or not; if yes, marking a break point in the original path, constructing an upstream candidate loading and unloading point set and a downstream candidate loading and unloading point set based on a first constraint condition, and selecting a loading and unloading node from each of the upstream candidate loading and unloading point set and the downstream candidate loading and unloading point set by adopting an upper-layer model by taking the minimum duration as a first objective function; inputting the selected first loading and unloading node and the selected second loading and unloading node into a lower-layer model, wherein the lower-layer model adopts a genetic algorithm to construct a multimodal transport replacement path set; and when the transportation unit travels to one end of the path, determining a final path based on the consumed time of each path, and constructing a multimodal transportation scheme.

The present patent application relates to the field of digital data storage onto a biomolecule, more particularly onto a nucleic acid.

The present invention relates to a nucleic acid-based data storage method for storing information and a data storage nucleic acid molecule.

The invention relates to a DNA data storage molecular tag based on nanopores and a preparation method and application thereof, and belongs to the technical field of DNA storage. The molecular tag is prepared by modifying azido polysaccharide onto an alkyne-containing DNA chain through a click chemical reaction. Hybridizing and fixing the molecular tag and a DNA bracket chain containing a specific notch structure, and scanning by using a glass nanopore; when the molecular tag passes through the nanopore, a characteristic ionic current blocking signal is generated, and accordingly data coding is achieved. The molecular tag disclosed by the invention is low in cost and simple and convenient to operate; polysaccharide with wide sources and efficient click chemistry are utilized, so that the preparation cost and complexity are remarkably reduced; the physicochemical properties of polysaccharide molecules are stable, the consistency of read signal amplitudes is ensured, the decoding accuracy is high, the label structure stability is good, and a guarantee is provided for long-term storage of data; based on a reversible hybridization storage structure, data updating can be realized without synthesizing a new DNA chain.

The present application provides an extended coding method for a storage channel, including: obtaining binary data and decomposing it into binary source blocks, encoding it using a preset code to obtain an independent data source block; using a preset encoder to encode the source symbol sequence in the independent data source block to obtain a coding sequence that does not contain homopolymers; using automatic indexing to generate a primary data source block index and a secondary source symbol sequence index, compounding them in a DNA coding symbol sequence to obtain a base index; mapping the DNA coding symbol sequence to a binary symbol sequence, and inversely mapping it to a DNA sequence after adding controlled redundancy through RS error correction coding. The present application breaks through the theoretical information density of 2 bits / Base of DNA data coding with natural bases as basic storage units, and realizes efficient, reliable and practical DNA coding. The present application also provides an extended coding system, a computer-readable storage medium and an electronic device for a storage channel, which have the above-mentioned beneficial effects.

Disclosed herein is an RNA editing tool for use in a system designed to measure RNA and manipulate specific cell types in vivo.The RNA sensor system comprises: a) a single-stranded RNA (ssRNA) sensor that comprises a stop codon and a payload, and optionally further comprises a normalization gene; and b) an adenosine deaminase that acts on RNA (ADAR), where the sensor can bind to target ssRNA to form a double-stranded RNA (dsRNA) that is a substrate for ADAR deaminase; the substrate comprises a mismatch within the stop codon; the mismatch can be edited by ADAR deaminase, and the edit can effectively remove the stop codon, allowing the payload to be translated and expressed.Also disclosed is a method for quantifying ribonucleic acid (RNA) levels using the RNA sensor system.

Provided herein are writable polymers (e.g., writable nucleic acid polymers) for data storage and related methods. Generally, a writable polymer (e.g., a nucleic acid polymer) contains one or more convertible residues (e.g., convertible nucleobases) that are capable of being converted from a first state to a second state, the first and the second state being different. Various methods can be utilized to generate a writable nucleic polymer, such as polymerase extension via rolling circle reaction or chemical synthesis and ligation. Also provided herein are various methods for writing or encoding a writable nucleic acid polymer by selectively converting nucleobases into the second state. Also provided herein are various methods for reading or decoding a nucleic acid polymer encoded with data.

The present disclosure provides systems and methods for storing digital information in nucleic acid molecules in a variety of ways. [Solution] Digital information may be received as a symbol string, with each symbol in the symbol string having a symbol value and a symbol position within the symbol string. A first identifier nucleic acid molecule may be formed by disposing M selected component nucleic acid molecules in a compartment, the M selected component nucleic acid molecules being selected from a set of separate component nucleic acid molecules separated into M distinct layers, and physically assembling the M selected component nucleic acid molecules. A plurality of identifier nucleic acid molecules may be formed, each corresponding to a respective symbol position. The identifier nucleic acid molecule may be formed in a pool having a powder, liquid or solid form.

Provided are a method for producing a data-encoded nucleic acid by using a template-dependent nucleic acid polymerase, and a data-encoded nucleic acid produced thereby.

Methods, systems, and devices for encoding data for storage in genetic material are disclosed. For example, a computing system can segment user data into a plurality of data blocks and generate seed data characterizing a plurality of fountain code seeds. Additionally, the computing system can, for each data block, implement a set of operations to generate one or more data packets. In some instances, the set of operations can include, for each of the plurality of fountain code seeds, determining a bit value and a corresponding meta code value, and determining which of the fountain code seeds has a meta code value for the bit value that matches a value for the bit position identified in the metadata. Furthermore, the computing system can, for each data packet, cause implementation of a second set of operations to synthesize a polynucleotide strand from at least the bit values of the corresponding data packet.

A method for storage of an item of information (210) is disclosed. The method comprises encoding bytes (720) in the item of information (210), and representing using a schema the encoded bytes by a DNA nucleotide to produce a DNA sequence (230). The DNA sequence (230) is broken into a plurality of overlapping DNA segments (240) and indexing information (250) added to the plurality of DNA segments. Finally, the plurality of DNA segments (240) is synthesized (790) and stored (795).

Compositions, methods, and systems for handling liquids, for example, liquids containing one or more biological substances or chemical reagents, or combinations thereof. The liquid can be an "ink" containing nucleic acids (e.g., DNA) for "nucleic acid "printing" or "writing." These nucleic acids can include one or more components of nucleic acid molecules that encode digital information ("identifiers") that can be used in methods and systems for encoding digital information in nucleic acid. Described in this specification are technologies including an ink supply system and associated ecosystem for a DNA writing device for use with the technologies for encoding, storing, reading, and / or processing digital information in nucleic acid molecules.

Synthetic molecular tags are placed on an item at various points in a supply chain to create a molecular record of movement through the supply chain. Associations between each unique synthetic molecular tag and individual locations in the supply chain are stored in an electronic record which may be maintained in the cloud. The synthetic molecular tags are collected from the item and sequenced to determine movement of the item through the supply chain by reference to the electronic record. The synthetic molecular tags can be used for identifying recalled items based on locations in the supply chain associated with a recall. The synthetic molecular tags may be polynucleotides such as deoxyribose nucleic acid (DNA). The item may be any type of item including food.