GeneTrail2
GeneTrail2 performs integrative gene set analysis of multi-omics datasets (transcriptomic, miRNomic, genomic, and proteomic) to identify enriched biological categories, signaling pathways, and candidate biomarkers.
Key Features:
- Integrated Multi-Omics Analysis: Supports simultaneous analysis of transcriptomic, miRNomic, genomic, and proteomic data to enable holistic gene set evaluations.
- Statistical Tools and Reference Sets: Implements multiple statistical tests for gene set analysis and provides numerous predefined reference sets to enhance result interpretation.
- Biological Categories: Includes a comprehensive collection of biological categories for detailed categorization and exploration of molecular signatures.
Scientific Applications:
- Disease mechanism elucidation: Enables elucidation of pathogenic mechanisms across diseases, including cancer, through integrative analysis of molecular datasets.
- Wilms tumor and nephroblastoma research: Has been used to investigate Wilms tumor pathogenesis, uncover signaling pathways in blastemal subtype tumors, and identify candidate biomarkers associated with adverse prognosis in nephroblastoma.
Methodology:
Performs gene set analysis using multiple statistical tests on integrated transcriptomic, miRNomic, genomic, and proteomic layers from the same samples.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 4/15/2016
- Last Updated:
- 1/23/2019
Operations
Data Inputs & Outputs
Gene-set enrichment analysis
Publications
Stöckel D, Kehl T, Trampert P, Schneider L, Backes C, Ludwig N, Gerasch A, Kaufmann M, Gessler M, Graf N, Meese E, Keller A, Lenhof H. Multi-omics enrichment analysis using the GeneTrail2 web service. Bioinformatics. 2016;32(10):1502-1508. doi:10.1093/bioinformatics/btv770. PMID:26787660.
PMID: 26787660