G-Graph

G-Graph visualizes genomic copy number and other numeric datasets as position-based interactive scatter plots for exploratory analysis.

Key Features:

• Interactive Visualization: Interactive scatter-plot viewer that stacks or tiles multiple data series using distinct colors and markers to enable comparative analysis across genomic positions.
• Gene Annotation Integration: Displays gene annotation and other metadata aligned to genomic coordinates.
• Customizable Display Properties: Supports alteration of visual properties of data series, including colors, markers, and stacking/tiling arrangements.
• Stack-based Undo: Implements stack-based undo functionality for reverting changes.
• Export Options: Exports selected views as image and PDF files.
• Performance and Scalability: Optimized rendering for smooth and rapid scrolling and zooming with datasets containing millions of points and line segments.

Scientific Applications:

• Exploratory Copy Number Analysis: Visual comparison of genomic copy number profiles to identify potentially deleterious variants.
• Comparative Genomic Analysis: Comparative evaluation of multiple numeric genomic datasets by stacking or tiling tracks.
• Annotation-Contextualized Interpretation: Interpretation of numeric signals in the context of integrated gene annotation and metadata.

Methodology:

Interactive scatter-plot rendering that stacks or tiles multiple data series with distinct colors and markers; alignment of gene annotation and metadata to genomic coordinates; stack-based undo; view export to image and PDF; optimized rendering for smooth scrolling and zooming with millions of points and line segments.