Abstract: A biological sample system that efficiently images and registers codes corresponding to biological samples depicted in an image. The biological sample system can implement a neural network to detect the codes individually, and further translate each code into an item identifier. The item identifiers are correlated with network server accounts and a user interface can depict the biological samples with data indicating their registration state.

Abstract: A biological sample system that efficiently images and registers codes corresponding to biological samples depicted in an image. The biological sample system can implement a neural network to detect the codes individually, and further translate each code into an item identifier. The item identifiers are correlated with network server accounts and a user interface can depict the biological samples with data indicating their registration state.

Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.

Abstract: Systems and methods are provided for controlling dissemination of genomic data. One embodiment is a system that stores genomic data. The genomic data for each individual lists genetic variants determined to exist within that individual. The system receives an access request for a segment of genomic data for an individual, analyzes an authentication token within the request, authenticates the request as belonging to an account for a user based on the authentication token, and reviews authorization directives for the individual that indicate how predefined portions of genomic data are shared. The system also transmits the segment of genomic data in response to determining that the authorization directives permit the account to access the segment of genomic data, and prevents transmission of the segment of genomic data in response to determining that the authorization directives do not permit the account to access the segment of genomic data.

Abstract: A genomic update system can generate a user interface from network pages based on variant data in one or more of the network pages matching user variant data. Some of the network pages may be in an elevated or trusted class and linking pages may link to those network pages. Content from the linking pages can be included with one or more visualizations in the user interface for interaction by a user via a user device, such as a handheld mobile device.

Abstract: Systems and methods are provided for trait prediction coordination. One embodiment is a method that includes launching a genomics application at a user device, receiving a command to present a partner application within the genomics application, selecting characteristics to predict for an individual, based on an identifier that distinguishes the partner application from other partner applications, operating polygenic models that generate predictions for the characteristics based on genetic records for the individual, acquiring media for the partner application, based on the predictions, and operating the partner application to update a display at the user device with the media, thereby providing the predictions in a format specific to the partner application.

Abstract: Systems, platforms, methods and media for providing genomic services are disclosed. In one example, a genomic services platform comprises a network interface through which are received genomic sequence reads derived from a biological sample obtained from a user The platform also includes a bioinformatics processing pipeline including a read alignment module configured to generate observed sequence data by aligning the sequence reads relative to a reference sequence, a variant calling module operative to identify observed variants in the observed sequence data, and a variant refinement module for producing a set of refined variants associated with the user. A variant imputation module produces a set of imputed variants associated with the user, and a variant storage module disposed to receive a query from network infrastructure of a partner application provider and to provide selected ones of the refined or imputed variants in response to the query.

Abstract: Systems and methods are provided for evaluating polygenic models. One embodiment is a system that includes a memory storing a polygenic model that uses genetic variants which occupy predetermined genetic loci as inputs, and makes predictions for individuals based on the inputs. The system also includes an interface that receives an indication of known genetic variants exhibited by an individual, and a controller. The controller operates the model to make a prediction for the individual, determines that the indication does not provide known genetic variants for a subset of the predetermined genetic loci, and evaluates a performance of the prediction of the model based on the subset of the predetermined genetic loci that have not been provided known genetic variants.

Abstract: Systems, platforms, methods and media for providing genomic services are disclosed. In one example, a genomic services platform comprises a network interface through which are received genomic sequence reads derived from a biological sample obtained from a user. The platform also includes a bioinformatics processing pipeline including a read alignment module configured to generate observed sequence data by aligning the sequence reads relative to a reference sequence, a variant calling module operative to identify observed variants in the observed sequence data, and a variant refinement module for producing genotype data including a set of refined variants associated with the user. A variant imputation module produces a set of imputed variants associated with the user, and is configured to receive, as input, at least some of the genotype data and separate the genotype data into high-quality and low-quality genotypes based on a genotype quality.