1354 results about "Sequencing data" patented technology

An embodiment of an identifier element for identifying an origin of a template nucleic acid molecule is described that comprises a nucleic acid element comprising a sequence composition that enables detection of an introduced error in sequence data generated from the nucleic acid element and correction of the introduced error, where the nucleic acid element is constructed to couple with the end of a template nucleic acid molecule and identifies an origin of the template nucleic acid molecule.

The present invention is directed to methods and compositions for long fragment read sequencing. The present invention encompasses methods and compositions for preparing long fragments of genomic DNA, for processing genomic DNA for long fragment read sequencing methods, as well as software and algorithms for processing and analyzing sequence data.

Music piece sequence data are composed of a plurality of event data which include performance event data and user event data designed for linking a voice to progression of a music piece. A plurality of voice data files are stored in a memory separately from the music piece sequence data. In music piece reproduction, the individual event data of the music piece sequence data are sequentially read out, and a tone signal is generated in response to each readout of the performance event data. In the meantime, a voice reproduction instruction is output in response to each readout of the user event data. In accordance with the voice reproduction instruction, a voice data file is selected from among the voice data files stored in the memory, and a voice signal is generated on the basis of each read-out voice data.

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data.

Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.

The present disclosure provides a novel approach for shifting or distributing various information (e.g., protocols, analysis methods, sample preparation data, sequencing data, etc.) to a cloud-based network. For example, the techniques relate to a cloud computing environment configured to receive this information from one or more individual sample preparation devices, sequencing devices, and/or computing systems. In turn, the cloud computing environment may generate information for use in the cloud computing environment and/or to provide the generated information to the devices to guide a genomic analysis workflow. Further, the cloud computing environment may be used to facilitate the sharing of sample preparation protocols for use with generic sample preparation cartridges and/or monitoring the popularity of the sample preparation protocols.

The present invention relates to methods for evaluating and/or predicting the outcome of a clinical condition, such as cancer, metastasis, AIDS, autism, Alzheimer's, and/or Parkinson's disorder. The methods can also be used to monitor and track changes in a patient's DNA and/or RNA during and following a clinical treatment regime. The methods may also be used to evaluate protein and/or metabolite levels that correlate with such clinical conditions. The methods are also of use to ascertain the probability outcome for a patient's particular prognosis.

Methods, processes, and particularly computer implemented processes and computer program products are provided for use in the analysis of genetic sequence data. The processes and products are employed in the assembly of shorter nucleic acid sequence data into longer linked and preferably contiguous genetic constructs, including large contigs, chromosomes and whole genomes.

Disclosed herein are methods of determining the sequence and/or positions of modified bases in a nucleic acid sample present in a circular molecule with a nucleic acid insert of known sequence comprising obtaining sequence data of at least two insert-sample units. In some embodiments, the methods comprise obtaining sequence data using circular pair-locked molecules. In some embodiments, the methods comprise calculating scores of sequences of the nucleic acid inserts by comparing the sequences to the known sequence of the nucleic acid insert, and accepting or rejecting repeats of the sequence of the nucleic acid sample according to the scores of one or both of the sequences of the inserts immediately upstream or downstream of the repeats of the sequence of the nucleic acid sample.

Disclosed is a method of synchronizing media review on first and second nodes. The method may include the step of loading a media file having sequenced data segments into the first and second nodes. The media review may be related to processing the data segments for output. The method may also include the step of establishing a synchronized communication session between the first node and the second node. Thereafter, the method may include the step of executing a local media review command, and transmitting a remote media review command derived therefrom. The local and remote media review commands may be operative to regulate the media review of the media file on the first and second nodes.

The present invention is a system and method for performing real-time infection control over a computer network. The method comprises obtaining a sample of a microorganism at a health care facility, sequencing a first region of a nucleic acid from the microorganism sample, comparing the first sequenced region with historical sequence data stored in a database, determining a measure of phylogenetic relatedness between the microorganism sample and historical samples stored in the database, and providing infection control information based on the phylogenetic relatedness determination to the health care facility, thereby allowing the health care facility to use the infection control information to control or prevent the spread of an infection.

The present invention is a system and method for performing real-time infection control over a computer network. The method comprises obtaining a sample of a microorganism at a health care facility, sequencing a first region of a nucleic acid from the microorganism sample, comparing the first sequenced region with historical sequence data stored in a database, determining a measure of phylogenetic relatedness between the microorganism sample and historical samples stored in the database, and providing infection control information based on the phylogenetic relatedness determination to the health care facility, thereby allowing the health care facility to use the infection control information to control or prevent the spread of an infection.

Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.

Media monitoring and measurement systems and methods are disclosed. Some embodiments of the present invention provide a media measurement system and method that utilizes audience data to enhance content identifications. Some embodiments analyze media player log data to enhance content identification. Other embodiments of the present invention analyze sample sequence data to enhance content identifications. Other embodiments analyze sequence data to enhance content identification and/or to establish channel identification. Yet other embodiments provide a system and method in which sample construction and selection parameters are adjusted based upon identification results. Yet other embodiments provide a method in which play-altering activity of an audience member is deduced from content offset values of identifications corresponding to captured samples. Yet other embodiments provide a monitoring and measurement system in which a media monitoring device is adapted to receive a wireless or non-wireless audio signal from a media player, the audio signal also being received wirelessly by headphones of a user of the monitoring device.

Method includes receiving sequencing data including a plurality of sample reads that have corresponding sequences of nucleotides and assigning the sample reads to designated loci. The method also includes analyzing the assigned reads for each designated locus to identify corresponding regions-of-interest (ROIs) within the assigned reads. Each of the ROIs has one or more series of repeat motifs. The method also includes sorting the assigned reads based on the sequences of the ROIs such that the ROIs with different sequences are assigned as different potential alleles. The method also includes analyzing, for designated loci having multiple potential alleles, the sequences of the potential alleles to determine whether a first allele of the potential alleles is suspected stutter product of a second allele of the potential alleles.

Updating a software product by a plurality of patches. Sequencing data of each patch of the plurality of patches is received from a user such as a patch author. Each patch of the plurality of patches has a defined membership in a portion of the software product and has a defined order in the portion relative to one or more other patches that are members of the portion. The sequencing data indicates a portion of the software product of which the patch is a member and a relative ordering between the patch and one or more other members of the portion. A logical order of application for the plurality of patches is determined based on the received sequencing data. The plurality of patches is applied to the software product according to the determined logical order of application.

A computer research tool is provided for searching and displaying biological data. Specifically, the invention provides a computer research tool for performing computerized research of biological data from various databases and for providing a novel graphical user interface that significantly enhances biological data representation, progressive querying and cross-navigation of windows and databases. The invention can be implemented in numerous ways, including as a system, a device, a method, or a computer readable medium.

Certain embodiments of the invention provide systems and methods for the automated assembly of DNA sequence data into contiguous DNA segments using a computer a system. DNA sequence data is entered into the system. The system indexes and groups a plurality of DNA fragment reads utilizing an anchor sequence and consolidates the fragments into larger sequences by merging the fragment reads within a group.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit that may be connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the bioinformatics analysis on the reads of genomic data. Each subset of the hardwired digital logic circuits may be formed in a wired configuration to perform the one or more steps in the bioinformatics analysis.

A high resolution 2D/3D switchable display apparatus includes a display panel having display elements arranged in pixel units and configured to display an image. A lenticular lens array includes a plurality of lenticular lenses arranged in a horizontal direction and dividing light corresponding to a signal emitted from the display panel to visual regions of left and right eyes. A spatial optical modulator includes a plurality of cells configured to switch on or off in synchronization with a vertical scanning time of the display panel, wherein each of the plurality of cells is changed to a transparent or opaque state. The display panel sequentially displays an even field including even sequence data of a left eye image and a right eye image and an odd field including odd sequence data of the left eye image and the right eye image.

A system and method for efficiently managing a vast amount of read data and genetic information obtained from sequencing data are provided. The system includes a parsing unit reading the read data and converting the read data into a table-embedded index, a table management unit classifying the table-embedded index into a master table which contains basic items about the genetic information and a slave table which contains additional items about the genetic information and managing the master table and the slave table, a search unit retrieving data from the master table and/or the slave table and outputting the retrieved data.

This invention relates to apparatus, methods, processor control code and signals for channel estimation in OFDM (Orthogonal Frequency Division Multiplexed) communication systems with a plurality of transmitter antennas, such as MIMO (Multiple-input Multiple-output) OFDM systems. An OFDM signal is transmitted from an OFDM transmitter using a plurality of transmit antennas. The OFDM signal is adapted for channel estimation for channels associated with said transmit antennas by the inclusion of orthogonal training sequence data in the signal from each said antenna. The said training sequence data is derived from substantially orthogonal training sequences of length K for each said transmit antenna, said orthogonal training sequences being constructed such that a minimum required sequence length K needed to determine a channel estimate for at least one channel associated with each said transmit antenna is linearly dependent upon the number of said transmit antennas.

The invention relates to an urban road congestion degree prediction method based on time sequence traffic events. The method comprises the steps of: S1, acquiring historical traffic event data, real-time traffic event data and video monitoring data of an urban road section; S2, identifying traffic congestion forewarning events in the video data through the 3D CNN, and performing data space-time fusion according to the historical traffic events; S3, determining congestion degree classification labels, constructing a time sequence traffic congestion event data dictionary, and screening a training set, a verification set and a test set; S4, establishing an LSTM sequence data classification model, inputting the training set, and iteratively updating model parameters by utilizing a gradient descent method; S5, inputting the verification set into the model with updated parameters, optimizing and adjusting hyper-parameters, and selecting an optimal model; and S6, inputting the test set into the optimal training model, checking the effectiveness of the model, and carrying out road congestion prediction according to real-time traffic monitoring data. According to the method, a sequence dataclassification model is established by using LSTM, and the urban road congestion degree is predicted based on time sequence traffic events.

Node sequence data, such as website visitation records, are filtered, analyzed, and summarized in reports. An administrator can designate particular target paths of interest in terms of a checkpoint node sequence. Node sequences are filtered based on the checkpoint node sequence, without regard to any additional or tangential nodes appearing in the sequences. In addition, node sequences can be specified in terms of specific nodes of interest along with wild cards. Reports depict the relative frequency of occurrence of node sequences using visual indicators such as line thickness and/or color.

A digital interactive phrasing system and method allows a user to select and control playback of audio or visual from various types of digital media. The DIP format enables the user to edit digitally prepared elements such as audio or video to create a custom mix. Original source material contained on an optical disk provides pre edited digitally prepared elements for user arrangement into coded sequences. The coded sequence data is saved in memory for future reassembly from original source material.

The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.

A usage model and the underlying technology used to provide sequence analysis as part of a relational database system. Included components include the semantic and syntactic integration of the sequence analysis with an existing query language, the storage methods for the sequence data, and the design of a multipart execution scheme that runs the sequence analysis as part of a potentially larger database join, especially using parallel execution techniques.

The invention discloses a gene detection product report system comprising a mobile terminal sales service system which is used for the user to select a gene detection product and place an order to pay and is also used for acquiring basic information of the detected subject and sample binding information; a clinical sample management system which is used for receiving the basic information of the detected subject and the sample binding information from the mobile terminal sales service system; a laboratory data management system which is used for storing samples starting from order placing until the sequencing data are transferred to the specific storage position from a sequencer, wherein a report generation system generates a report to be stored in the laboratory data management system and pushed to the mobile terminal sales service system to be transmitted to the specific report receiver; and the report generation system which is used for receiving the basic information of the detected subject and the sample binding information from the clinical sample management system and the detection result from the laboratory data management system so as to generate the report. Automatic data exchange and centralized report management can be realized, and the report can be automatically generated according to the requirement so as to guarantee the accuracy of the report data.

The invention discloses a method for detecting mutation information in a multiplex amplification sequencing product of a genome. The method comprises steps as follows: sequencing data are subjected to quality assessment and preprocessing; a recognizable sequencing sequence is selected for sequence assembling; the recognizable sequencing sequence or a sequence obtained through assembling is compared with a reference gene sequence, and preliminary variation information is obtained; fine calibration of sequence variation is performed according to different types of conditions; a calibrated sequencing fragment is obtained; the homozygosis or heterozygosis state of a target fragment is obtained according to the type of the sequencing fragment with the highest abundance; finally, the mutation information in the multiplex amplification sequencing product of the genome is obtained. By means of the method, the amplification product can be rapidly, efficiently and accurately recognized, and the calculation resources are saved; the sequence assembling process is compatible, and the problem of reduction of the quality value of basic groups produced in the sequencing process can be effectively solved; the homozygosis/heterozygosis state of variation information can be more effectively and stably judged, and random errors introduced in the PCR (polymerase chain reaction) process and the sequencing process are eliminated.

A system and method for providing flexible access and retrieval of sequence data from a plurality of biological data repositories is described. A plurality of biological data repositories are maintained. Each data repository contains sequence data stored into structured records uniquely identified. Each data repository is interfaced through a queue handler dynamically locating and selecting at least one such biological data repository and launching a search query against each selected biological data repository. Search query parameters are accepted from a user specifying a search request for a sequence set. Results obtained from a search engine are presented as ordered tables of search results.

A document storage unit stores, as a type of a document element in a document, an element sequence in which a text element which is a document element for text and an image element which has a server character image acquired from the server as a view, has a character code value as an attribute, and is dependent on a platform are mixed. When a copy operation on a screen is determined, a copy processing unit reads character codes from the text element and the image element stored in the document of a copy source, generates copy source character sequence data, and stores the data in a copy buffer. When a paste operation is determined subsequent to the copy operation, a paste processing unit generates an element sequence including the text element and the image element from the copy source character sequence data stored in the copy buffer, and inserts the sequence to a document of a paste destination. In this course, the character image of the image element is acquired from the server.