Publication details
- Journal: Genome Biology, vol. 11, Tuesday 23. November 2010
- Publisher: BioMed Central (BMC)
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International Standard Numbers:
- Printed: 1465-6906
- Electronic: 1474-760X
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Links:
- PROSJEKT: http://hyperbrowser.uio.no
- ARKIV: http://hdl.handle.net/10852/8829
- DOI: doi.org/10.1186/gb-2010-11-12-r121
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.