Abstract: Techniques for annotating electronic content items include receiving over a communication network a first request to associate a first tag from among a plurality different of tags with first electronic content, wherein each tag from among the plurality of tags is: configured to label electronic content, and associated with a respective task from among a plurality of tasks; recording, in response to receiving the first request, a first association between the first electronic content and the first tag; and transmitting over the communication network to a first recipient client: the first electronic content, and an instruction to the first recipient client to cause the first recipient client to execute, in response to receiving the first electronic content, the respective task associated with the first tag on the first electronic content.

Abstract: The present disclosure relates to detecting microsatellite indels in cancer patients and those at high risk for cancer, and is useful for early detection of specific types of cancer and early onset of relapse. More particularly, the present disclosure relates to compositions, methods, and kits for classifying and treating neoplasia and tumors with microsatellite instability. The instant classifier identifies preferred therapeutic options, including combination therapies, for MSI tumor or cancer, and is particularly useful for patient stratification so that patients who would be treatable by immunotherapy drugs may be identified at a very low cost.

Abstract: A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement (“SLA”) and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

Abstract: A graphical user interface allows a customer to specify delimiters and/or patterns that occur in event data and indicate the presence of a particular field. The graphical user interface applies a customer's delimiter specifications directly to event data and displays the resulting event data in real time. Delimiter specifications may be saved as configuration settings and systems in a distributed setting may use the delimiter specifications to extract field values as the systems process raw data into event data. Extracted field values may be used to accelerate search queries that a system receives.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: The present disclosure provides a novel integrated entropy-based method that combines genome-wide profiling and network analyses for diagnostic and prognostic applications. The present disclosure further provides the integration of multiomics datasets, network analyses and machine learning that enable predictions on diagnosing infectious diseases and predicting the probability that they will escape treatment/the host immune system and/or become antibiotic resistant. The present disclosure provides a primary gateway towards the development of highly accurate infectious disease prognostics.

Abstract: Some embodiments of the invention provide a method for defining code-based policies. The method generates a policy-builder first view of a policy for display in a graphical user interface (GUI) by processing a syntax tree that is generated from a code second view of the policy. The method receives, through the policy-builder first view, a modification to a portion of the policy. To reflect the modification, the method updates a portion of the syntax tree that corresponds to the portion of the policy that is affected by the modification. Based on the updating of the syntax tree, the method updates the code second view by modifying a portion of the code second view that corresponds to the updated portion of the syntax tree.

Abstract: Described in detail herein are systems and methods for managing single instancing data. Using a single instance database and other constructs (e.g. sparse files), data density on archival media (e.g. magnetic tape) is improved, and the number of files per storage operation is reduced. According to one aspect of a method for managing single instancing data, for each storage operation, a chunk folder is created on a storage device that stores single instancing data. The chunk folder contains three files: 1) a file that contains data objects that have been single instanced; 2) a file that contains data objects that have not been eligible for single instancing; and 3) a metadata file used to track the location of data objects within the other files. A second storage operation subsequent to a first storage operation contains references to data objects in the chunk folder created by the first storage operation instead of the data objects themselves.

Abstract: Apparatuses and methods are provided to generate customizable databases and/or analyze performance. In an example embodiment, a method of generating customizable databases is provided. The method includes receiving a calculation expression relating to one or more defined characteristics. The calculation expression may be defined by a user. The method also includes loading data into a data warehouse. The data includes at least one of the one or more defined characteristics. The method further includes generating a data cube based on the received calculation expression and the data loaded into the data warehouse. The data cube includes an accessible table. A corresponding apparatus is provided. Additional method and apparatus to analyze performance are also provided.

Abstract: A virtualized computing system includes: a host cluster including hosts executing a virtualization layer on hardware platforms thereof, the virtualization layer configured to support execution of virtual machines (VMs), the VMs including a pod VM, the pod VM including a container engine configured to support execution of containers in the pod VM, the pod VM including a first virtual disk attached thereto; and an orchestration control plane integrated with the virtualization layer, the orchestration control plane including a master server in communication with a pod VM controller, the pod VM controller configured to execute in the virtualization layer external to the VMs and cooperate with a pod VM agent in the pod VM, the pod VM agent generating root directories for the containers in the pod VM, each of the root directories comprising a union a read/write ephemeral layer stored on the first virtual disk and a read-only layer.

Abstract: High-throughput production of modified microbes is achieved through optimization of directed build graph data structures representing biological workflows. Portions of otherwise unrelated workflows may be combined where they share common biological reaction steps, and processed by a genetic manufacturing facility to take advantage of operational efficiencies. Workflows may be mapped to physical laboratory equipment in a manner that optimizes material transfers. Different automated platforms running different machines in different languages are coordinated in a device-agnostic and language-agnostic manner.

Abstract: Flags for a command-line interface (CLI) can be automatically determined. In one example, a system can receive a user input through the CLI to manipulate an object in a computing environment. The user input can include a flag for setting a customizable parameter of the object to a particular value. The system can also receive definition data specifying one or more customizable parameters for the object. The system can then determine one or more available flags associated with the one or more customizable parameters specified in the definition data, where the available flag(s) are usable for configuring the one or more customizable parameters of the object. Based on the available flag(s), the system can determine if the flag in the user input is valid. If so, the system can manipulate the object in the computing environment such that the manipulated object has the particular value for the customizable parameter.

Abstract: Methods for evaluating microsatellite instability (MSI) analyze nucleic acid sequence reads corresponding to a plurality of marker regions for MSI. The marker regions may include long homopolymers and/or short tandem repeats (STRs). For a target homopolymer, a histogram of homopolymer signal values is calculated based on flow space signal measurements for the homopolymer region in the sequence reads. A score per marker based on features of the histogram of homopolymer signal values is determined for each marker region corresponding to the target homopolymers. For a target STR, the method includes calculating a histogram of repeat lengths for sequence reads corresponding to the marker region of the target STR. A score per STR marker is calculated based on features of the histogram of repeat lengths. A plurality of per marker scores may be combined to form a total MSI score for the sample.

Abstract: The present disclosure provides a method including storing or accessing data representing users of first and second divisions, where the data includes first and second sets of records, receiving a query from a member associated with an organization having access privilege to the data, generating, when the query is from a member of the first division, a score that reflects a degree to which parameters of the query are similar to parameters of data representing users of the second division, where the parameters include characteristics of a family that may adopt a child, generating, when the query is from a member of the second division, a score that reflects a degree to which parameters of the query are similar to parameters of data representing users of the first division, where the parameters include characteristics of a child that may be adopted.

Abstract: With the availability of huge amount of data, it has becoming difficult to identify and manage duplicate data, especially when the data is in a plurality of columns. A method and system for identifying duplicate columns using statistical, semantics and machine learning techniques have been provided. The system provides a design framework to compare huge datasets at column level and identify potential duplicate columns, not based on the column title, but based on all of its values. The disclosure has ability to compare values in multiple columns and identify potential duplicate columns wherein comparison of values is not only for the exact match, but for semantic match, smart match, fuzzy match, and match after UOM conversion etc. using Statistical, semantics and machine learning techniques.

Abstract: Novel tools and techniques are provided for implementing data storage and/or retrieval, and, more particularly, for implementing data associations. In various embodiments, an associations rules engine might query data aggregation data services to determine whether a first data object (which along with a first relationship rule that indicates a one-to-one relationship between the first data object and a corresponding second data object) is associated with one or more third data objects; might abstract the first data object, the first relationship rule, and the one or more third data objects; might update, in a metadata catalog, a catalog entry corresponding to the first data object with one or more associations among various data objects; and might provide a requesting computing system with access to the catalog entry corresponding to the first data object, the computing system performing one or more computational tasks using the associations stored in the catalog entry.

Abstract: Described are methods, systems and computer readable media for dynamic updating of query result displays.

Abstract: A method for accessing data stored in a database may include generating a snapshot of a definition of a data story that includes a software widget configured to receive inputs for creating, based on a portion of data stored in the database, a data presentation providing a visual representation of the data. In response to a first indication to apply a filter removing some of the data associated with the data presentation, modifying a runtime definition of the data story to reflect the application of the filter. In response to a second indication to reset the filter, restoring the data story to a state prior to the application of the filter by replacing the runtime definition of the data story with the snapshot of the definition of the data story. Related systems and articles of manufacture are also provided.

Abstract: Provided are a prediction device and the like capable of more accurately simulating an analysis target. The prediction device generates function information for a gene sequence of a living body to be an analysis target based on first model information representing a relevance between sequence information and the function information, the sequence information representing the gene sequence of the analysis target, the function information representing a function potentially expressed by the gene sequence; and generates prediction information representing observation information predicted for the analysis target based on second model information and the function information, the second model information representing a relevance among the function information of the living body, environment information representing an environment around the living body, and the observation information observed for the living body, the function information being generated for the gene sequence of the analysis target.

Abstract: The present invention discloses a gene sequencing data compression preprocessing, compression and decompression method, a system, and a computer-readable medium. The preprocessing method implementation steps include: obtaining reference genome data; obtaining a mapping relationship between a short string K-mer and a prediction character c to obtain a prediction data model P1 containing any short string K-mer in the positive strand and negative strand of a reference genome and the prediction character c in a corresponding adjacent bit. The compression and decompression methods relate to performing compression/decompression on the basis of the prediction data model P1. The system is a computer system including a program for executing the previous method. The computer-readable medium includes a computer program for executing the previous method.