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BioMed Central, Genome Biology, 12(11), p. R121

DOI: 10.1186/gb-2010-11-12-r121

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The Genomic HyperBrowser: inferential genomics at the sequence level

Journal article published in 2010 by Geir K. Sandve, Sveinung Gundersen, Halfdan Rydbeck, Ingrid K. Glad, Lars Holden, Marit Holden, Eivind Tøstesen, Knut Liestøl, Trevor Clancy, Egil Ferkingstad ORCID, Morten Johansen, Vegard Nygaard, Arnoldo Frigessi, Eivind Hovig
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 the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to statistical analysis of sequence-level genomic information. We provide a growing collection of generic biological investigations that query pairwise relations between tracks, represented as mathematical objects, along the genome. The Genomic HyperBrowser implements the approach and is available at http://hyperbrowser.uio.no.