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Browsing Brage NMBU by Author "Gundappa, Manu Kumar"

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    • Comparative regulomics supports pervasive selection on gene dosage following whole genome duplication 

      Gillard, Gareth Benjamin; Grønvold, Lars; Røsæg, Line Lieblein; Holen, Matilde Mengkrog; Monsen, Øystein; Koop, Ben F.; Rondeau, Eric B.; Gundappa, Manu Kumar; Mendoza, John; Macqueen, Daniel J.; Rohlfs, Rori V.; Sandve, Simen Rød; Hvidsten, Torgeir Rhoden (Peer reviewed; Journal article, 2021)
    • Genome-Wide Reconstruction of Rediploidization Following Autopolyploidization across One Hundred Million Years of Salmonid Evolution 

      Gundappa, Manu Kumar; To, Thu-Hien; Grønvold, Lars; Martin, Samuel A. M.; Lien, Sigbjørn; Geist, Jürgen; Hazlerigg, David; Sandve, Simen Rød; Macqueen, Daniel J. (Peer reviewed; Journal article, 2021)
    • Lineage-specific rediploidization is a mechanism to explain time-lags between genome duplication and evolutionary diversification 

      Robertson, Fiona M; Gundappa, Manu Kumar; Grammes, Fabian; Hvidsten, Torgeir Rhoden; Redmond, Anthony K; Lien, Sigbjørn; Martin, Samuel AM; Holland, Peter WH; Sandve, Simen Rød; Macqueen, Daniel J (Journal article; Peer reviewed, 2017)
    • SalMotifDB: a tool for analyzing putative transcription factor binding sites in salmonid genomes 

      Mulugeta, Teshome Dagne; Nome, Torfinn; To, Thu-Hien; Gundappa, Manu Kumar; Macqueen, Daniel J.; Våge, Dag Inge; Sandve, Simen Rød; Hvidsten, Torgeir Rhoden (Journal article; Peer reviewed, 2019)
    • The structural variation landscape in 492 Atlantic salmon genomes 

      Bertolotti, Alicia C.; Layer, Ryan M.; Gundappa, Manu Kumar; Gallagher, Michael D.; Pehlivanoglu, Ege; Nome, Torfinn; Robledo, Diego; Kent, Matthew Peter; Røsæg, Line Lieblein; Holen, Matilde Mengkrog; Mulugeta, Teshome Dagne; Ashton, Thomas J.; Hindar, Kjetil; Sægrov, Harald; Florø-Larsen, Bjørn; Erkinaro, Jaakko; Primmer, Craig R.; Bernatchez, Louis; Martin, Samuel A.M.; Johnston, Ian A.; Sandve, Simen Rød; Lien, Sigbjørn; Macqueen, Daniel J. (Peer reviewed; Journal article, 2020)
      Structural variants (SVs) are a major source of genetic and phenotypic variation, but remain challenging to accurately type and are hence poorly characterized in most species. We present an approach for reliable SV discovery ...

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