Format

Send to

Choose Destination
Bioinformatics. 2016 May 15;32(10):1502-8. doi: 10.1093/bioinformatics/btv770. Epub 2016 Jan 18.

Multi-omics enrichment analysis using the GeneTrail2 web service.

Author information

1
Center for Bioinformatics, Saarland University, Saarbrücken D-66041.
2
Department of Human Genetics, Medical School, Saarland University, Homburg D-66421.
3
Center for Bioinformatics, Eberhard-Karls-University, Tübingen, D-72076.
4
Theodor-Boveri-Institute/Biocenter, Developmental Biochemistry, and Comprehensive Cancer Center Mainfranken, Würzburg University, Würzburg D-97074 and.
5
Department of Pediatric Oncology and Hematology, Medical School, Saarland University, Homburg, D-66421, Germany.

Abstract

MOTIVATION:

Gene set analysis has revolutionized the interpretation of high-throughput transcriptomic data. Nowadays, with comprehensive studies that measure multiple -omics from the same sample, powerful tools for the integrative analysis of multi-omics datasets are required.

RESULTS:

Here, we present GeneTrail2, a web service allowing the integrated analysis of transcriptomic, miRNomic, genomic and proteomic datasets. It offers multiple statistical tests, a large number of predefined reference sets, as well as a comprehensive collection of biological categories and enables direct comparisons between the computed results. We used GeneTrail2 to explore pathogenic mechanisms of Wilms tumors. We not only succeeded in revealing signaling cascades that may contribute to the malignancy of blastemal subtype tumors but also identified potential biomarkers for nephroblastoma with adverse prognosis. The presented use-case demonstrates that GeneTrail2 is well equipped for the integrative analysis of comprehensive -omics data and may help to shed light on complex pathogenic mechanisms in cancer and other diseases.

AVAILABILITY AND IMPLEMENTATION:

GeneTrail2 can be freely accessed under https://genetrail2.bioinf.uni-sb.de

CONTACT:

: dstoeckel@bioinf.uni-sb.de

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
26787660
DOI:
10.1093/bioinformatics/btv770
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Silverchair Information Systems
Loading ...
Support Center