Genomic Data Quantification via Coordinate Systems
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Solution Overview
Problem
Current technologies lack effective methods to utilize and analyze the vast amounts of genomic data generated by high-throughput technologies, making it difficult to derive meaningful biological insights from these datasets.
Innovation Solution
A system and method for processing raw genomic data to generate comparable genomic information by determining quantitative measures of biological properties, which can be stored and queried to provide ranked results, allowing for efficient analysis and utilization of genomic data across different data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high-throughput technologies are used to generate genomic data, then the quantity of genomic data increases exponentially, but the ability to effectively utilize and analyze the data deteriorates
Solution Approach 1:
The patent segments the massive genomic dataset into smaller, manageable units by organizing data into data repositories with structured formats. Each repository contains specific types of genomic data organized by coordinate systems, allowing incremental processing and analysis of large-scale data without overwhelming computational resources.
Solution Approach 2:
The patent introduces an intermediary processing layer that converts raw genomic data into standardized quantitative information. This intermediary system uses coordinate systems and data transformation processes to bridge the gap between raw data generation and meaningful analysis, enabling efficient utilization of exponentially growing data volumes.
2Loss of information
If comprehensive genomic datasets are collected, then the richness of biological information increases, but the complexity of data processing and analysis increases
Solution Approach 1:
The patent creates a universal data processing framework that handles multiple types of genomic data through a single coordinated system. The framework uses standardized coordinate systems and quantitative information formats that can process diverse biological information types uniformly, reducing the complexity that would otherwise arise from handling each data type separately.
Solution Approach 2:
The patent transforms complex genomic data into standardized quantitative parameters organized by coordinate systems. By converting diverse biological information into uniform quantitative measures, the system maintains comprehensive information richness while simplifying the processing complexity through parameter standardization.
3Measurement precision
If raw genomic data is processed to generate quantitative information, then the comparability of genomic information improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary processing of genomic data by pre-computing quantitative information and organizing it into structured repositories before actual analysis queries are executed. This advance preparation of data in standardized formats reduces the time required for subsequent analysis while maintaining high measurement precision and comparability.
Data Source
AI summary
Methods, systems and computer-readable storage media relate to generating quantitative genomic information. The methods may include processing at least one dataset obtained from a data repository, the at least one dataset including raw genomic data and descriptive data. The descriptive data may include experiment data. The methods may also include determining quantitative information for each group of one or more genes of the at least one dataset based on experiment data and/or at least one coordinate system. The quantitative information may correspond to one or more quantitative measures of one or more biological properties associated with a processed genomic dataset. The quantitative information can provide a normalized value that can be compared across different experiment types and thus can provide biological knowledge and insights.