Genomic Visualization Scaling Engine for Dynamic Data Presentation
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Solution Overview
Problem
Current genomic browsers struggle with dynamic presentation and adaptation of complex genomic data, failing to accommodate user-specific information density and responding optimally across all zoom levels, leading to inefficiencies in data storage, retrieval, and analysis.
Innovation Solution
A computer-implemented method and system that uses a genomic visualization system with a scaling engine to adjust and dynamically generate genomic display objects based on user-selected zoom levels, incorporating scale-relevant annotations and downsampling to optimize data presentation and reduce analysis and transfer burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If predefined displays independent of zoom level are used, then data storage and retrieval are simplified, but the system fails to accommodate user-specified information density and cannot respond optimally at all zoom levels
Solution Approach 1:
The patent implements dynamic content adjustment based on zoom level. The system automatically modifies the density and type of genomic data displayed according to the user's zoom level, transitioning from detailed annotations at high zoom to summarized views at low zoom. This dynamic adaptation resolves the contradiction by making the display system flexible rather than static, allowing optimal information density at each zoom level while maintaining manageable data storage through selective rendering.
Solution Approach 2:
The system changes display parameters (information density, annotation detail, data granularity) based on zoom level. At different zoom levels, the system adjusts parameters such as the number of annotations displayed, the level of detail in genomic features, and the aggregation of data points. This parameter-based adaptation allows the system to provide user-specified information density without storing multiple predefined display configurations.
2Loss of information
If all genomic data is displayed at maximum detail, then information completeness is improved, but data transfer and analysis burden increases significantly
Solution Approach 1:
The patent extracts and displays only the most relevant genomic data at each zoom level. Rather than transmitting all available data, the system selectively extracts annotations and features that are appropriate for the current view scale. This extraction principle reduces data transfer burden while maintaining information completeness for the displayed viewport, as only scale-relevant data is transmitted and processed.
Solution Approach 2:
The system applies partial action by displaying a subset of available data that is sufficient for the current zoom level. At lower zoom levels, detailed annotations are omitted or aggregated, providing partial information that is adequate for overview purposes. This partial display approach reduces data transfer and analysis burden while preventing information loss for the scale of observation, as excessive detail is not required at coarse granularity levels.
3Adaptability or versatility
If dynamic content adjustment based on zoom level is implemented, then user-specific information density is accommodated, but system complexity and processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-computing and storing summary statistics and aggregated data at multiple scales. Before dynamic display is needed, the system prepares scaled versions of genomic data with pre-calculated annotations and metrics. This preliminary processing reduces the complexity of real-time adjustments, as the system retrieves pre-prepared content rather than computing it dynamically, thereby maintaining adaptability while managing processing requirements.
Data Source
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AI summary
Systems and methods for dynamic visualization of genomic data are provided in which a genomic visualization system adapts presentation of information content according to scale-relevant annotations within a sequence object.