DiscoverySpace

DiscoverySpace performs comparative analysis and annotation of gene expression datasets, emphasizing serial analysis of gene expression (SAGE) and integration of references from multiple biological databases.

Key Features:

• SAGE data support: Handles serial analysis of gene expression (SAGE) datasets and provides analytical tools tailored for SAGE.
• Database integration: Integrates references across multiple biological databases to enable data annotation and cross-dataset comparison.
• Comparative analysis tools: Provides a suite of comparative tools for identifying significant patterns and correlations across gene expression datasets.
• Novel analytical tools: Includes novel analytical methods specifically aimed at facilitating biological discovery from large-scale expression data.

Scientific Applications:

• SAGE-based expression profiling: Analysis of SAGE datasets to detect differential expression and expression patterns.
• Comparative transcriptomics: Comparative analysis of multiple gene expression datasets to identify shared and distinct expression signatures.
• Annotation-driven discovery: Integration of database annotations to support hypothesis generation and biological interpretation.
• Identification of correlations and interactions: Detection of significant patterns and correlations within large-scale gene expression data to inform studies of genetic interactions.

Methodology:

Integration of references from multiple biological databases to support annotation and dataset comparison, combined with analytical modules tailored for serial analysis of gene expression (SAGE).