@inbook{4aa911c7a5a14992b2f4f83355de9888,
title = "Web-based analysis of (Epi-) genome data using EpiGRAPH and galaxy",
abstract = "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.",
author = "Christoph Bock and {Von Kuster}, Greg and Konstantin Halachev and James Taylor and Anton Nekrutenko and Thomas Lengauer",
year = "2010",
doi = "10.1007/978-1-60327-367-1_15",
language = "English (US)",
isbn = "9781603273664",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "275--296",
booktitle = "Genetic Variation",
}