Arabidopsis eFP Browser

Arabidopsis eFP Browser visualizes gene expression and other large-scale biological datasets as electronic fluorescent pictographs to reveal spatial and temporal expression patterns in Arabidopsis and other organisms.

Key Features:

• Electronic Fluorescent Pictograph (eFP) Visualization: Converts microarray and other large-scale dataset values into electronic fluorescent pictographs that represent experimental samples.
• Spatial and Temporal Pattern Mapping: Maps data onto pictographic representations to highlight spatial and temporal expression patterns across tissues, organs, and developmental stages.
• Adaptability to Datasets and Organisms: Supports customization to accommodate AtGenExpress Consortium Arabidopsis gene expression data and other microarray or large-scale datasets from diverse organisms.
• Hypothesis Generation Support: Provides visual contexts that facilitate formulation of hypotheses about gene function, expression dynamics, and subcellular localization.

Scientific Applications:

• Gene Expression Analysis: Visualizes gene expression across tissues, conditions, and developmental stages in Arabidopsis using microarray datasets such as AtGenExpress.
• Subcellular Localization Studies: Maps expression or localization data to subcellular compartments within Arabidopsis cells to inform protein function and cellular process inference.
• Cross-Species Data Exploration: Has been adapted for other organisms (e.g., mouse) to visualize datasets such as mouse tissue atlas microarray data for comparative analyses.

Methodology:

Integrates large-scale biological datasets with pictographic representations of experimental samples via an engine that processes and visualizes data to highlight spatial and temporal patterns.