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The Genomic HyperBrowser: inferential genomics at the sequence level

Geir K Sandve1, Sveinung Gundersen2, Halfdan Rydbeck135, Ingrid K Glad4, Lars Holden3, Marit Holden3, Knut Liestøl15, Trevor Clancy2, Egil Ferkingstad3, Morten Johansen6, Vegard Nygaard6, Eivind Tøstesen6, Arnoldo Frigessi37 and Eivind Hovig1236*

Author affiliations

1 Department of Informatics, University of Oslo, Blindern, 0316 Oslo, Norway

2 Department of Tumor Biology, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway

3 Statistics For Innovation, Norwegian Computing Center, 0314 Oslo, Norway

4 Department of Mathematics, University of Oslo, Blindern, 0316 Oslo, Norway

5 Centre for Cancer Biomedicine, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway

6 Institute for Medical Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway

7 Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Blindern, 0317 Oslo, Norway

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Citation and License

Genome Biology 2010, 11:R121  doi:10.1186/gb-2010-11-12-r121

Published: 23 December 2010

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 webcite.