Opin vísindi

Browsing Greinar - HR by Subject "Efnaskipti"

Browsing Greinar - HR by Subject "Efnaskipti"

Sort by: Order: Results:

  • Icon
    Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine 
    Sigmarsdóttir, Þóra; McGarrity, Sarah; Rolfsson, Óttar; Yurkovich, James T.; Sigurjónsson, Ólafur E. (Frontiers Media SA, 2020-03-31)
    Mesenchymal stem cells are a promising source for externally grown tissue replacements and patient-specific immunomodulatory treatments. This promise has not yet been fulfilled in part due to production scaling issues and the need to maintain the correct ...
  • Icon
    Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics 
    Bordbar, Aarash; Yurkovich, James T.; Paglia, Giuseppe; Rolfsson, Óttar; Sigurjónsson, Ólafur E.; Palsson, Bernhard O. (Springer Nature, 2017-04-07)
    The increasing availability of metabolomics data necessitates novel methods for deeper data analysis and interpretation. We present a flux balance analysis method that allows for the computation of dynamic intracellular metabolic changes at the cellular ...
  • Icon
    Systems biology as an emerging paradigm in transfusion medicine 
    Yurkovich, James; Bordbar, Aarash; Sigurjonsson, Olafur; Palsson, Bernhard O. (Springer Nature, 2018-03-07)
    Blood transfusions are an important part of modern medicine, delivering approximately 85 million blood units to patients annually. Recently, the field of transfusion medicine has started to benefit from the “omic” data revolution and corresponding ...
  • Icon
    Visualizing metabolic network dynamics through time-series metabolomic data 
    Buchweitz, Lea F.; Yurkovich, James T.; Blessing, Christoph; Kohler, Veronika; Schwarzkopf, Fabian; King, Zachary A.; Yang, Laurence; Jóhannsson, Freyr; Sigurjónsson, Ólafur E.; Rolfsson, Óttar; Heinrich, Julian; Dräger, Andreas (Springer Science and Business Media LLC, 2020-04-03)
    Background: New technologies have given rise to an abundance of-omics data, particularly metabolomic data. The scale of these data introduces new challenges for the interpretation and extraction of knowledge, requiring the development of innovative ...