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.© 2010 Sandve et al.; licensee BioMed Central Ltd.
CITATION STYLE
Sandve, G. K., Gundersen, S., Rydbeck, H., Glad, I. K., Holden, L., Holden, M., … Hovig, E. (2010). The Genomic HyperBrowser: Inferential genomics at the sequence level. Genome Biology, 11(12). https://doi.org/10.1186/gb-2010-11-12-r121
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