Jon Olav Vik

The paper analyzes metabolite exchanges in microbial metabolic models using pathway definitions, revealing a hierarchy among exchanges and consistent frequency patterns across methods.

This paper develops a model to predict the nutritional and environmental impacts of alternative feeds for Atlantic salmon, identifying sustainable feed formulations that optimize efficiency and reduce CO2 footprint.

This study investigates the genome regulatory changes in Atlantic salmon liver during smoltification, finding that metabolic remodeling occurs in freshwater and transcription factor dynamics drive gene expression changes, while DNA methylation is not correlated with expression shifts.

This paper trains an artificial neural network to predict microbial genome-scale metabolic networks directly from 16S rRNA gene sequences, enabling metabolic analysis of microbes without full genomes.

The paper evaluates six methods for creating context-specific metabolic models of Atlantic salmon using transcriptomics data, finding that some methods better capture context-specific metabolism than others.

SALARECON links the Atlantic salmon genome to metabolic fluxes and growth, showing that marine feed efficiency can be achieved by supplementing plant- and insect-based feeds with specific amino acids.

The paper uses whole transcriptome analysis to evaluate genetic mosaicism and lipid metabolism pathway changes in CRISPR-modified Atlantic salmon with mutations in fatty acid desaturase genes.

This study compares lipid metabolism in domesticated and wild Atlantic salmon fed different diets, finding domesticated salmon show distinct metabolic responses to vegetable oil.

Memote, open-source Python software, runs a community-maintained, partly scored test suite (consistency, biomass, annotations, optional experimental data) on SBML-encoded genome-scale metabolic models, once or through continuous integration.

The paper uses RNA-seq to analyze phospholipid and lipoprotein metabolism development in Atlantic salmon fry intestines, finding increased synthesis capacity in pyloric caeca and specific gene expression patterns.

The paper introduces GBOL, a formalized ontology for genome annotations, to improve interoperability and enable large-scale comparative analysis of functional genomic data.

The paper introduces FAASG, an initiative to study salmonid genomes to understand phenotypic variation and improve aquaculture and conservation.