Arne B. Gjuvsland
Arne B. Gjuvsland
Researcher Geno & Norsvin
Verified email at
Cited by
Cited by
The Atlantic salmon genome provides insights into rediploidization
S Lien, BF Koop, SR Sandve, JR Miller, MP Kent, T Nome, TR Hvidsten, ...
Nature 533 (7602), 200-205, 2016
Trait variation in yeast is defined by population history
J Warringer, E Zörgö, FA Cubillos, A Zia, A Gjuvsland, JT Simpson, ...
PLoS Genet 7 (6), e1002111, 2011
Statistical epistasis is a generic feature of gene regulatory networks
AB Gjuvsland, BJ Hayes, SW Omholt, O Carlborg
Genetics 175 (1), 411-420, 2007
Ancient evolutionary trade-offs between yeast ploidy states
E Zörgö, K Chwialkowska, AB Gjuvsland, E Garré, P Sunnerhagen, G Liti, ...
PLoS Genet 9 (3), e1003388, 2013
Life history shapes trait heredity by accumulation of loss-of-function alleles in yeast
E Zörgö, A Gjuvsland, FA Cubillos, EJ Louis, G Liti, A Blomberg, ...
Molecular biology and evolution 29 (7), 1781-1789, 2012
Bridging the genotype–phenotype gap: what does it take?
AB Gjuvsland, JO Vik, DA Beard, PJ Hunter, SW Omholt
The Journal of physiology 591 (8), 2055-2066, 2013
Power of QTL mapping experiments in commercial Atlantic salmon populations, exploiting linkage and linkage disequilibrium and effect of limited recombination in males
BJ Hayes, A Gjuvsland, S Omholt
Heredity 97 (1), 19-26, 2006
Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models
K Tøndel, UG Indahl, AB Gjuvsland, JO Vik, P Hunter, SW Omholt, ...
BMC Systems Biology 5 (1), 1-17, 2011
Concerted evolution of life stage performances signals recent selection on yeast nitrogen use
S Ibstedt, S Stenberg, S Bagés, AB Gjuvsland, F Salinas, O Kourtchenko, ...
Molecular biology and evolution 32 (1), 153-161, 2015
Threshold-dominated regulation hides genetic variation in gene expression networks
AB Gjuvsland, E Plahte, SW Omholt
BMC Systems Biology 1 (1), 1-14, 2007
Parameters in dynamic models of complex traits are containers of missing heritability
Y Wang, AB Gjuvsland, JO Vik, NP Smith, PJ Hunter, SW Omholt
PLoS Comput Biol 8 (4), e1002459, 2012
Life‐stage‐associated remodelling of lipid metabolism regulation in Atlantic salmon
G Gillard, TN Harvey, A Gjuvsland, Y Jin, M Thomassen, S Lien, M Leaver, ...
Molecular ecology 27 (5), 1200-1213, 2018
Loss of function mutations in essential genes cause embryonic lethality in pigs
MFL Derks, AB Gjuvsland, M Bosse, MS Lopes, M van Son, B Harlizius, ...
PLoS genetics 15 (3), e1008055, 2019
Order‐preserving principles underlying genotype–phenotype maps ensure high additive proportions of genetic variance
AB Gjuvsland, JO Vik, JA Woolliams, SW Omholt
Journal of evolutionary biology 24 (10), 2269-2279, 2011
Genotype–phenotype map characteristics of an in silico heart cell
JO Vik, AB Gjuvsland, L Li, K Tøndel, S Niederer, NP Smith, PJ Hunter, ...
Frontiers in physiology 2, 2011
When Parameters in Dynamic Models Become Phenotypes: A Case Study on Flesh Pigmentation in the Chinook Salmon (Oncorhynchus tshawytscha)
H Rajasingh, AB Gjuvsland, DI Våge, SW Omholt
Genetics 179 (2), 1113-1118, 2008
Screening design for computer experiments: Metamodelling of a deterministic mathematical model of the mammalian circadian clock
K Tøndel, AB Gjuvsland, I Måge, H Martens
Journal of chemometrics 24 (11‐12), 738-747, 2010
Allele interaction–single locus genetics meets regulatory biology
AB Gjuvsland, E Plahte, T Ådnøy, SW Omholt
PLoS One 5 (2), e9379, 2010
Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models
K Tøndel, UG Indahl, AB Gjuvsland, SW Omholt, H Martens
BMC systems biology 6 (1), 1-21, 2012
A computational pipeline for quantification of mouse myocardial stiffness parameters
Ø Nordbø, P Lamata, S Land, S Niederer, JM Aronsen, WE Louch, ...
Computers in biology and medicine 53, 65-75, 2014
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