Bubble GUM
Bubble GUM performs extraction of phenotype-specific molecular signatures from transcriptomic datasets and generates custom gene sets for exhaustive Gene Set Enrichment Analysis (GSEA) across multiple experimental conditions.
Key Features:
- Automatic extraction of molecular signatures: Derives phenotype-relevant gene expression signatures directly from transcriptomic data.
- Generation of custom gene sets for GSEA: Produces user-defined/home-made gene sets tailored to specific biological questions for downstream enrichment analysis.
- Exhaustive GSEA with multiple testing correction: Executes comprehensive GSEA comparisons across numerous conditions while applying multiple testing corrections.
- Integration and graphical comparison of GSEA results: Integrates multiple GSEA outputs and provides comparative graphical representations of enrichment patterns.
Scientific Applications:
- Cross-species transcriptomic fingerprinting: Generation of transcriptomic fingerprints for murine cell types and assessment of their enrichment in human cell types.
- Comparative immunocyte genomics: Identification and confirmation of homologies between mouse and human immunocytes via enrichment analysis.
- Cross-study microarray comparison: Evaluation of similarities between microarray datasets originating from different laboratories or experimental models.
Methodology:
Automatic derivation of molecular signatures from transcriptomic data, generation of custom gene sets, exhaustive GSEA with multiple testing correction, and integration plus graphical comparison of multiple GSEA outputs.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Spinelli L, Carpentier S, Montañana Sanchis F, Dalod M, Vu Manh T. BubbleGUM: automatic extraction of phenotype molecular signatures and comprehensive visualization of multiple Gene Set Enrichment Analyses. BMC Genomics. 2015;16(1). doi:10.1186/s12864-015-2012-4. PMID:26481321. PMCID:PMC4617899.