Bilde av Pettersen, Jakob Peder
Photo: Kaja Alexandra Halvei-Larsen
Bilde av Pettersen, Jakob Peder
Postdoctoral researcher Department of Computer Science jakob.p.pettersen@uit.no +4777645497 Tromsø You can find me here

Jakob Peder Pettersen


Job description

Jakob Peder Pettersen is a Postdoctorial Research Fellow at Centre for New Antibacterial Strategies (CANS) and part of Health Data Lab at the Department of Computer Science (IFI). His field of expertice is within systems biologi where he works on large-scale analysis of biological datasets and development of modeling tools.


  • Jakob Peder Pettersen, Sandra Castillo, Paula Jouhten, Eivind Almaas :
    Genome-scale metabolic models reveal determinants of phenotypic differences in non-Saccharomyces yeasts
    BMC Bioinformatics 21. November 2023 DOI / ARKIV
  • Jakob Peder Pettersen, Eivind Almaas :
    Parameter inference for enzyme and temperature constrained genome-scale models
    Scientific Reports 2023 DOI / ARKIV
  • Jakob Peder Pettersen, Eivind Almaas :
    csdR, an R package for differential co-expression analysis
    BMC Bioinformatics 2022 DOI / ARKIV
  • Jakob Peder Pettersen, Madeleine S. Gundersen, Eivind Almaas :
    Robust bacterial co-occurence community structures are independent of r- and K-selection history
    Scientific Reports 2021 DOI / ARKIV
  • Jakob Peder Pettersen :
    Type-stable heterogeneous arrays
    03. October 2025
  • Jakob Peder Pettersen, Einar Holsbø :
    Efficient and reproducible bioinformatic pipelines for single cell bacterial transcriptomics
    2025
  • Jakob Peder Pettersen, Eivind Almaas :
    What Are Enzyme and Temperature Dependent Genome-Scale Models (etcGEMs) and How Do They Behave?
    2022
  • Jakob Peder Pettersen, Olav Vadstein, Eivind Almaas :
    What do co-occurence network actually tell us? A case study.
    2020

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    Research interests

    • Bioinformatics pipelines for prokaryotic single cell RNA-seq
    • Genome-scale metabolic modeling. This includes Flux Balanse Analysis (FBA) with extensions (etcFBA, dFBA).
    • Microbial ecology
    • Inference of correlation network
    • Integration of units of meaturements into differential equation solvers with minimal overhead

    CV

    See my profile on LinkedIn.


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