GeneTrail 3: advanced high-throughput enrichment analysis

Author:

Gerstner Nico1,Kehl Tim1ORCID,Lenhof Kerstin1,Müller Anne1,Mayer Carolin1,Eckhart Lea1,Grammes Nadja Liddy12,Diener Caroline3ORCID,Hart Martin3,Hahn Oliver45,Walter Jörn6ORCID,Wyss-Coray Tony45,Meese Eckart3,Keller Andreas1245ORCID,Lenhof Hans-Peter1

Affiliation:

1. Center for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany

2. Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany

3. Department of Human Genetics, Saarland University, 66421 Homburg, Germany

4. School of Medicine Office, Stanford University, Stanford, CA, USA

5. Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA

6. Department of Genetics, Saarland University, Saarbrücken D-66041, Germany

Abstract

Abstract We present GeneTrail 3, a major extension of our web service GeneTrail that offers rich functionality for the identification, analysis, and visualization of deregulated biological processes. Our web service provides a comprehensive collection of biological processes and signaling pathways for 12 model organisms that can be analyzed with a powerful framework for enrichment and network analysis of transcriptomic, miRNomic, proteomic, and genomic data sets. Moreover, GeneTrail offers novel workflows for the analysis of epigenetic marks, time series experiments, and single cell data. We demonstrate the capabilities of our web service in two case-studies, which highlight that GeneTrail is well equipped for uncovering complex molecular mechanisms. GeneTrail is freely accessible at: http://genetrail.bioinf.uni-sb.de.

Funder

Saarland University

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference27 articles.

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