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Oxford University Press, Nucleic Acids Research, W1(41), p. W133-W141, 2013

DOI: 10.1093/nar/gkt342

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The Genomic HyperBrowser: an analysis web server for genome-scale data

Journal article published in 2013 by Geir Kjetil Sandve, Kai Trengereid, Sveinung Gundersen, Morten Johansen, Ingrid Kristine Glad, Krishanthi Gunathasan, Lars Holden, Marit Holden, Jonas Paulsen, Halfdan Rydbeck, Knut Liestøl, Ståle Nygård, Trevor Clancy, Finn Drabløs ORCID, Vegard Nygaard and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way of representing genome-scale data is as feature-specific coordinates relative to reference genome assemblies, i.e. as genomic tracks. The Genomic HyperBrowser (http://hyperbrowser.uio.no) is an open-ended web server for the analysis of genomic track data. Through the provision of several highly customizable components for processing and statistical analysis of genomic tracks, the HyperBrowser opens for a range of genomic investigations, related to, e.g., gene regulation, disease association or epigenetic modifications of the genome. ; This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.