Genomic Data User Interface via Cloud Storage and Visualization
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Solution Overview
Problem
The management of user genetic data is challenging due to its large size and complexity, and there is a need for secure access to ensure privacy, especially with the increasing availability of direct-to-user genomic services.
Innovation Solution
A genomic update system generates a user interface that displays content structured from different network servers based on user genetic data, using trusted network sites for accurate scientific data, with visualization tools for exact and statistical matches, and secure data processing and storage through cloud computing and encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If genomic data is stored and processed locally on mobile client devices, then data access speed and user control are improved, but device storage capacity and processing power are insufficient to handle hundreds of gigabytes of genetic data
Solution Approach 1:
The patent transitions from local device storage to cloud-based storage architecture, moving genomic data management to a different dimensional space (network dimension). The system stores compressed genomic data files on remote servers accessible via network, allowing mobile devices to access hundreds of gigabytes of data without requiring local storage capacity. This resolves the contradiction by eliminating the storage capacity constraint while maintaining fast access through optimized data retrieval mechanisms.
Solution Approach 2:
The patent introduces a cloud-based server system as an intermediary between the user's mobile device and the genomic data. This intermediary handles the heavy lifting of storing, compressing, and managing large genomic datasets, while the mobile device only needs to communicate with the server to access and analyze specific portions of the data. This mediator architecture allows fast access without requiring large local storage.
2Measurement precision
If raw genomic data files are provided to users, then data completeness and accuracy are improved, but data complexity and difficulty of interpretation increase significantly
Solution Approach 1:
The patent extracts and separates the complex interpretation and analysis functions from the raw data, providing users with processed, annotated, and contextualized genomic information rather than raw data files. The system extracts meaningful insights from the complete genomic data while filtering out the complexity, delivering accurate results in an interpretable format. This allows users to benefit from data completeness without being overwhelmed by data complexity.
Solution Approach 2:
The patent creates simplified representations and visualizations of the complex genomic data. Instead of providing only raw data files, the system generates multiple copies of the data in different formats - compressed files for storage, annotated versions for analysis, and visual representations for interpretation. These copies maintain the accuracy of the original data while reducing the perceived complexity for end users.
3Adaptability or versatility
If genomic data is made accessible to multiple users and services, then data utility and service availability are improved, but data security and privacy protection become more challenging
Solution Approach 1:
The patent implements differential access control where different portions of genomic data are made available to different users and services based on their specific needs and authorization levels. Rather than a blanket access model, the system applies local quality control - each user or service receives only the specific data subsets they are authorized to access, with appropriate compression and formatting for their use case. This maintains security while enabling versatile service availability.
4Quantity of substance
If genomic data is compressed for storage, then storage efficiency is improved, but data retrieval and analysis time may increase
Solution Approach 1:
The patent applies compression algorithms to genomic data files during the data generation and upload phase, before the data needs to be retrieved for analysis. By performing the compression action in advance (preliminary action), the system reduces the storage requirements for large genomic datasets. The compressed files are then stored efficiently on cloud servers, and when retrieval is needed, the pre-compressed state eliminates the need for real-time compression, actually speeding up the retrieval process compared to storing uncompressed data.
Data Source
AI summary
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.