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Torgeir Rhoden Hvidsten
  • Dean
    • Faculty of Chemistry, Biotechnology and Food Science
+4767232491
torgeir.r.hvidsten@nmbu.no
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My research group focuses on using machine learning methods and large genomics datasets to model how genes interact in regulatory networks and how such networks give rise to properties characteristic to individuals and species. For more details see my web site.

Interested in doing a master thesis projects with me? Check out possible projects here!

  • Areas of work
    • Bioinformatics
    • Genomics
    • Comparative transcriptomics
    • Holo-genomics
  • Publications
    My publications in Cristin

    Publications and citation statistics at Google scholar.

    List of publications, presentation and more at trhvidsten.org.

  • Lecturing

    Selected topics in functional genomics (BIN315)

    Introduction to Bioinformatics (BIN210)

    Statistical programming in R (STIN300)

    Biological data analysis (STIN100)

    Introduction to Biotechnology and Chemistry - bioinformatics part (BIO101)

  • Projects & research

    Projects

    ImprovAFish_ERA-Net
    A joint ERA-Net (BlueBio CoFund) and Havbruk project that seeks to improve aquaculture sustainability by modulating the feed-microbiome-host axis in Fish.

    SuPAcow
    This project combines novel methane-inhibiting feed ingredients, animal experiments and holo-omics to jointly analyze cows, their feed and their microbes.

    EVOTREE: What makes a tree a tree? Characterization and evolution of the gene regulatory network underlying wood development
    We aim to understand the process of wood formation in angiosperm and gymnosperm tree species by modelling the regulatory networks orchestrating the differentiation of stem cells into woody tissues.

    GenoSysFat - Integrating genomics and systems biology to improve the capacity for synthesis, transport, and filet deposition of EPA/DHA in salmon
    How can we increase the omega-3 content of salmon that are fed sustainable feeds? A brand new map of the salmon's genome makes it much easier to characterize heritable differences in how well different salmon families utilize the various nutrients.

    DigiSal. Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture
    Systems biology will aid sustainability in salmon farming. Scarcity of fish oil has forced development of novel feedstuffs, challenging the salmon's metabolism as well as our understanding of it.

    Areas of research

    Specialities: 

    • Bioinformatikk

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