Vitenskapelig artikkel   2010

Sandve, Geir Kjetil; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid Kristine; Holden, Lars; Holden, Marit; Liestøl, Knut; Clancy, Trevor; Ferkingstad, Egil; Johansen, Morten; Nygaard, Vegard; Tøstesen, Eivind; Frigessi, Arnoldo; Hovig, Eivind

Publikasjonsdetaljer

Tidsskrift:

Genome Biology, vol. 11, tirsdag 23. november 2010

Utgiver:

BioMed Central (BMC)

Utgave:

12

Internasjonale standardnumre:

Trykt: 1465-6906
Elektronisk: 1474-760X

Lenker:

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.