FGDP

FGDP analyzes microarray and oligonucleotide GeneChip gene expression data to enable genome-wide expression profiling and integrated functional genomics analyses.

Key Features:

• Java-based implementation: Java-based implementation.
• Supported data types: Support for gene expression microarrays and oligonucleotide GeneChips.
• Multiple simultaneous analyses: Supports multiple simultaneous analyses within a single environment.
• Automation: Automates analysis processes to facilitate comprehensive exploration of complex datasets.
• Extendable architecture: Extendable architecture that accommodates integration of new analytical methods.
• Integrated environment: Integrated environment for combined analysis and exploration of functional genomics data.

Scientific Applications:

• Genome-wide expression profiling: Generation of genome-wide gene expression profiles from microarray and GeneChip experiments.
• Comparative expression analysis: Comparative analysis of gene expression across experimental conditions.
• Functional genomics studies: Investigation of genome-wide expression patterns for functional genomics research.
• Method integration and evaluation: Integration and evaluation of new analytical methods within an extendable analysis framework.

Methodology:

Java-based implementation that automates analytical processes and supports multiple simultaneous analyses within an integrated, extendable environment.