GeneTrail 3: advanced high-throughput enrichment analysis
Author(s) -
Nico Gerstner,
Tim Kehl,
Kerstin Lenhof,
Anne Müller,
Carolin Mayer,
Lea Eckhart,
Nadja Grammes,
Caroline Diener,
Martin Hart,
Oliver Hãhn,
Jörn Walter,
Tony WyssCoray,
Eckart Meese,
Andreas Keller,
HansPeter Lenhof
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa306
Subject(s) - biology , workflow , computational biology , identification (biology) , web service , visualization , service (business) , computer science , world wide web , database , data mining , ecology , economy , economics
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.
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