Blar i Brage NMBU på forfatter "Liti, Gianni"
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Ancient Evolutionary Trade-Offs between Yeast Ploidy States
Zörgö, Enikö Beatrix; Chwialkowska, Karolina; Gjuvsland, Arne Bjørke; Garre, Elena; Sunnerhagen, Per; Liti, Gianni; Blomberg, Anders; Omholt, Stig W; Warringer, Jonas (Journal article; Peer reviewed, 2013) -
Clonal Heterogeneity Influences the Fate of New Adaptive Mutations
Vazquez-Garcia, Ignacio; Salinas, Francisco; Li, Jing; Fischer, Andrej; Barre, Benjamin; Hallin, Johan; Bergström, Anders; Alonso-Perez, Elisa; Warringer, Jonas; Mustonen, Ville; Liti, Gianni (Journal article; Peer reviewed, 2017) -
Concerted Evolution of Life Stage Performances Signals Recent Selection on Yeast Nitrogen Use
Ibstedt, Sebastian; Stenberg, Simon; Bages, Sara; Gjuvsland, Arne Bjørke; Salinas, Francisco; Kourtchenko, Olga; Samy, Jeevan K.A.; Blomberg, Anders; Omholt, Stig William; Liti, Gianni; Beltran, Gemma; Warringer, Jonas (Journal article; Peer reviewed, 2015) -
Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation
Stenberg, Ulf Simon; Li, Jing; Gjuvsland, Arne Bjørke; Persson, Karl; Demitz-Helin, Erik; Gonzalez-Pena, Carles; Yue, Jia-Xing; Gilchrist, Ciaran; Ärengård, Timmy; Ghiaci, Payam; Larsson-Berglund, Lisa; Zackrisson, Martin; Smits, Silvana; Hallin, Johan; Höög, Johanna L.; Molin, Mikael; Liti, Gianni; Omholt, Stig William; Warringer, Jonas (Peer reviewed; Journal article, 2022) -
Powerful decomposition of complex traits in a diploid model
Hallin, Johan; Märtens, Kaspar; Young, Alexander I; Zackrisson, Martin; Salinas, Francisco; Parts, Leopold; Warringer, Jonas; Liti, Gianni (Journal article; Peer reviewed, 2016) -
Predicting quantitative traits from genome and phenome with near perfect accuracy.
Märtens, Kaspar; Hallin, Johan; Warringer, Jonas; Liti, Gianni; Parts, Leopold (Journal article; Peer reviewed, 2016)In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not ...