Bioinformatic Processing System for Secure Genomic Data Governance
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Solution Overview
Problem
Current genomic and bioinformatic workflows face challenges such as lack of data governance, centralized data processing requirements, sequential workflow inefficiencies, and high user involvement, which hinder secure and efficient handling of genomic data with access and use restrictions.
Innovation Solution
The implementation of structured workflow specifications and syntaxes for defining bioinformatic processes, enabling policy-based governance, parallelization of processes, and memoization of computational results to facilitate secure, audited, and efficient handling of genomic data across distributed systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If genomic data is centralized for processing and analysis, then data access and processing can be simplified, but data security and governance control are compromised
Solution Approach 1:
The patent segments genomic data processing into distributed computational tasks that can be executed across multiple nodes in a workflow management system. Each task operates on specific data portions with controlled access, maintaining security while enabling simplified processing through modular task definitions and automated workflow orchestration.
Solution Approach 2:
The patent introduces a workflow management system as an intermediary layer between users and genomic data. This intermediary enforces access policies, manages data governance rules, and coordinates processing tasks without requiring direct data centralization, thus maintaining both security and operational simplicity.
2Use of energy by moving object
If genomic data processing is performed sequentially, then resource requirements are reduced, but processing time and productivity decrease
Solution Approach 1:
The patent implements dynamic workflow execution where computational tasks can be executed sequentially or in parallel based on resource availability and task dependencies. The workflow management system dynamically adjusts execution strategies, allowing high-productivity parallel processing when resources permit while maintaining the option for sequential execution to conserve resources.
Solution Approach 2:
The patent employs periodic task execution and checkpointing mechanisms where processing workflows can be paused, saved, and resumed. This allows efficient utilization of computational resources through batch processing while maintaining productivity through automated workflow continuation and parallel task scheduling when resources become available.
3Adaptability or versatility
If users are directly involved in data download and processing steps, then workflow flexibility is maintained, but user time and operational complexity increase
Solution Approach 1:
The patent implements self-service automated workflows where the workflow management system automatically handles data retrieval, task scheduling, and result aggregation without requiring continuous user intervention. Users define workflow parameters once, and the system autonomously executes complex multi-step processes, maintaining flexibility through configurable workflows while eliminating repetitive user involvement.
Solution Approach 2:
The patent enables preliminary workflow configuration where users define processing pipelines, access policies, and task parameters in advance. The workflow management system then automatically executes these pre-configured workflows, allowing users to adapt to different data sets and research questions without re-inventing workflows, thus reducing time loss while preserving flexibility through reusable templates.
4Reliability
If genomic data access restrictions are enforced, then data governance and privacy are improved, but data availability and research productivity decrease
Solution Approach 1:
The patent implements local quality control where different access policies and governance rules are applied to different data sets, tasks, or workflow stages based on specific requirements. This allows restrictive governance where needed while maintaining data availability for approved research activities, thus protecting privacy without unduly limiting productivity through blanket restrictions.
Solution Approach 2:
The patent creates a universal workflow management system that handles multiple data types, access policies, and processing requirements through a unified framework. This multi-functional system can enforce diverse governance rules across different data sets while maintaining consistent productivity through automated task management, thus reconciling restrictive governance with research efficiency.
Data Source
AI summary
The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.