Blar i forfatter "Paulsen, Jonas"

Viser treff 1-2 av 2

    • The genome sequence of Atlantic cod reveals a unique immune system 

      Star, Bastiaan; Nederbragt, Alexander Johan; Jentoft, Sissel; Grimholt, Unni; Malmstrøm, Martin; Gregers, Tone Fredsvik; Rounge, Trine Ballestad; Paulsen, Jonas; Solbakken, Monica Hongrø; Sharma, Animesh; Wetten, Ola Frang; Lanzén, Anders; Winer, Roger; Knight, James; Vogel, Jan-Hinnerk; Aken, Bronwen; Andersen, Øivind; Lagesen, Karin; Tooming-Klunderud, Ave; Edvardsen, Rolf; Kirubakaran, G. Tina; Espelund, Mari; Nepal, Chirag; Previti, A. Christopher; Karlsen, Bård Ove; Moum, Truls; Skage, Morten; Berg, Paul Ragnar; Gjøen, Tor; Kuhl, Heiner; Thorsen, Jim; Malde, Ketil; Reinhardt, Richard; Du, Lei; Johansen, Steinar Daae; Searle, Steve; Lien, Sigbjørn; Nilsen, Frank; Jonassen, Inge; Omholt, Stig W; Stenseth, Nils Christian; Jakobsen, Kjetill Sigurd (Journal article; Tidsskriftartikkel; Peer reviewed, 2011-08-10)
      Atlantic cod (Gadus morhua) is a large, cold-adapted teleost that sustains long-standing commercial fisheries and incipient aquaculture1, 2. Here we present the genome sequence of Atlantic cod, showing evidence for complex thermal adaptations in its haemoglobin gene cluster and an unusual immune architecture compared to other sequenced vertebrates. The genome assembly was obtained exclusively by 454 ...

    • The Genomic HyperBrowser: an analysis web server for genome-scale data 

      Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi; Holden, Lars; Holden, Marit; Liestøl, Knut; Nygård, Ståle; Nygaard, Vegard; Paulsen, Jonas; Rydbeck, Halfdan; Trengereid, Kai; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Kalaš, Matúš; Lien, Tonje Gulbrandsen; Rye, Morten Beck; Frigessi, Arnoldo; Hovig, Johannes Eivind (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way ...