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Towards a GPU-Accelerated Web-Based Graph Rendering Framework for Large-Scale Protein Networks
DescriptionWe present a WebGPU-based framework for real-time visualization of large-scale protein–protein interaction (PPI) networks directly in standard browsers. Built on GraphWaGu, our extended graph rendering API integrates GPU-accelerated force-directed layout computation with dynamic edge filtering and degree-based visual encoding. Users can adjust parameters such as confidence thresholds, iterations, and cooling factors, with layout updates. This approach sustains high frame rates for networks with millions of edges, mitigates the hairball effect, and enables biologists to explore complex PPI networks efficiently, intuitively, and without specialized software installation.