NORMA 3.0: aesthetic and group-aware visualization and analysis of annotated biological networks

NORMA 3.0 provides 18 2D and 9 3D group-aware layouts that are scored for separation and overlap, enabling clearer visualization of annotated biological networks.

• Why it matters: Many biological networks require judging how annotated groups form modules, overlap, and connect via proteins, but existing tools often show only membership by node color.
• What they did: NORMA 3.0 is a client-side rewrite that draws groups using convex hulls, bubble sets, or fog clouds, with multi-group nodes as pies and evidence-preserving directed edges.
• The result: It benchmarks layout quality and runtime, adds edge bundling, imports from six databases, computes 21 topological and group/enrichment statistics, supports up to ten-network comparisons, and exports high-resolution images with an API.

AI summary of the abstract · may contain errors · not medical advice · read the paper.