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

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.

Documentation