Linus

Linus visualizes and enriches large-scale biological 3D trajectory data to enable exploration and interpretation of dynamic biological processes.

Key Features:

• Interactive 3D trajectory visualization: Provides interactive visualization of 3D trajectories to explore spatial and temporal patterns within trajectory datasets.
• Python-based data enrichment: Includes a Python script that processes trajectory datasets to add derived visualization features.
• Edge bundling and custom axes: Enrichment features include edge bundling and custom axes to emphasize structural relationships within trajectories.

Scientific Applications:

• Exploration of dynamic biological processes: Supports analysis of large-scale trajectory datasets to reveal patterns in dynamic processes across biological systems.
• Hypothesis generation and testing: Facilitates identification of trends and relationships in trajectory data to inform hypothesis formulation and testing.

Methodology:

Linus reads trajectory data via a Python script, enriches trajectories with features such as edge bundling and custom axes, and transforms the enriched data into an interactive web-based format.