Kyrix-S

Kyrix-S generates scalable scatterplot visualizations (SSVs) to mitigate overdraw and enable interactive multi-zoom exploration of very large datasets for bioinformatics analyses.

Key Features:

• Overdraw mitigation: Implements scalable scatterplot visualizations (SSVs) and multiple zoom levels to reduce object overlap and visual clutter.
• Declarative grammar: Provides a declarative grammar for specifying SSVs, enabling complex visualizations with concise specifications (often tens of lines).
• Distributed layout algorithm: Uses a distributed layout algorithm to place visual marks across different zoom levels.
• Storage and indexing: Leverages multi-node databases and spatial indexes to support interactive browsing of large datasets.
• Scalability and performance: Supports interactive SSVs containing billions of objects with reported response times under 500 milliseconds.
• Specification-effort reduction: Reduces specification effort by approximately 4X–9X compared to existing authoring systems.

Scientific Applications:

• Exploratory analysis of large datasets: Interactive multi-zoom visualization of very large bioinformatics datasets to reveal structure at multiple scales.
• Authoring scalable visualizations: Creation of detailed-on-demand scatterplot visualizations for research visualization and analysis pipelines.
• Visualization benchmarking: Evaluation and demonstration of interactive performance on billion-object datasets.

Methodology:

Kyrix-S uses a declarative grammar to specify SSVs, applies a distributed layout algorithm to place visual marks across zoom levels, and leverages multi-node databases with spatial indexes to serve interactive browsing of large datasets.