explorase

explorase facilitates exploratory analysis and visualization of high-throughput biological data, including microarrays, by integrating R statistical methods with GGobi multivariate interactive graphics.

Key Features:

• Supported data types: Supports exploration and analysis of high-throughput biological data such as microarrays.
• Integration with R: Integrates R for numerical and statistical methods, including linear modeling.
• Integration with GGobi: Integrates GGobi to provide multivariate interactive graphics.
• Interactive linkage (brush tool): Links GGobi plots with entity metadata via a brush tool that synchronizes selection and coloring between plots and table rows.
• Metadata tables: Provides sortable and filterable tables displaying metadata about experimental design and biological entities.
• Menu shortcuts to R methods: Exposes menu shortcuts that invoke various analysis methods implemented in R, including graphical interfaces to linear modeling tools.

Scientific Applications:

• Exploratory analysis of high-throughput data: Exploratory analysis of high-throughput datasets such as microarrays using numerical methods and interactive graphics.
• Multivariate interactive visualization: Multivariate interactive visualization and linked-view exploration via GGobi brush interactions.
• Statistical analysis of experimental designs: Statistical analysis of experimental designs using linear modeling tools implemented in R.

Methodology:

Integration with R for numerical/statistical methods and linear modeling; use of GGobi for multivariate interactive graphics; linkage of GGobi plots and entity metadata via a brush tool; provision of sortable/filterable metadata tables and menu shortcuts that invoke R analysis methods.