# exploRase

## Exploratory Data Analysis for Systems Biology

#### [ overview ]

#### download

#### documentation

#### screenshots

### Introduction

exploRase is a MetNet tool written in R for the exploratory multivariate analysis of Systems Biology data. It provides a graphical user interface (GUI) on top of the analysis functionality provided by R and the Bioconductor project. exploRase is designed to be accessible to biologists analyzing omics data in the context of metabolic and regulatory networks.

### Features

- Provides a biologist-accessible GUI to R analysis functionality, such as distance measures, clustering, pattern-finding, and modeling.
- Integrates the analysis with interactive graphics, using GGobi.
- Handles transcriptomic, metabolomic, and proteomic data.
- Simplifies the loading of experimental data into R and GGobi.
- Supports the storage of lists of "interesting" entities for future sessions.
- Links sortable tables of entity metadata to GGobi plots by color coding.
- Provides automatic access to AtGeneSearch, the web interface to MetNetDB.
- Saves calculated statistics.

### Components

- GTK+: The premier open-source graphical user interface toolkit.
- R: A sweet open-source platform for statistical computing.
- GGobi: The definitive open-source interactive graphics platform.
- rggobi: Let's R talk to ggobi.
- RGtk2: Let's R talk to GTK+.

### Acknowledgements:

This work in funded by NSF Arabidopsis 2010 grants DB10209809 and DB10520267. The people involved in the development are Eun-Kyung Lee, Di Cook, Michael Lawrence, Heike Hofmann, Hai-Qing You, Eve Wurtele, Dongshin Kim, Jihong Kim, Hogeun An.