Details

Autor(en) / Beteiligte

• Bock, Christoph
• Von Kuster, Greg
• Halachev, Konstantin
• Taylor, James
• Nekrutenko, Anton
• Lengauer, Thomas

Titel

Web-based analysis of (Epi-) genome data using EpiGRAPH and Galaxy

Ist Teil von

• Methods in molecular biology (Clifton, N.J.), 2010-01, Vol.628, p.275

Ort / Verlag

United States

Erscheinungsjahr

2010

Quelle

MEDLINE

Beschreibungen/Notizen

• Modern life sciences are becoming increasingly data intensive, posing a significant challenge for most researchers and shifting the bottleneck of scientific discovery from data generation to data analysis. As a result, progress in genome research is increasingly impeded by bioinformatic hurdles. A new generation of powerful and easy-to-use genome analysis tools has been developed to address this issue, enabling biologists to perform complex bioinformatic analyses online - without having to learn a programming language or downloading and manually processing large datasets. In this tutorial paper, we describe the use of EpiGRAPH (http://epigraph.mpi-inf.mpg.de/) and Galaxy (http://galaxyproject.org/) for genome and epigenome analysis, and we illustrate how these two web services work together to identify epigenetic modifications that are characteristics of highly polymorphic (SNP-rich) promoters. This paper is supplemented with video tutorials (http://tinyurl.com/yc5xkqq), which provide a step-by-step guide through each example analysis.