Inge Jonassen
Position
Professor
Affiliation
Research
As Head of department I have the overall responsibility for the activities of the department inlcuding research and education.
My own field of research is bioinformatics - development and application of informatics methods for the analysis of molecular biology data. My interests include methods for the automatic discovery of patterns, data analysis, algorithms and machine learning applied on molecular biology data. The research in my group includes tight collaboration with experimental groups wihtin different fields of biological and medical research. I work with analysis of different types of data including DNA sequences (including genomes), protein sequences and structures, gene expression data, and data generated usiing high-throughput technologies, e.g., next-generation sequencing. My group is also engaged in development and applicationof methods for integration of data and tools within bioinformatics.
Teaching
I teach mostly bioinformatics courses, but I have also been teaching user courses in informatics and operating systems.
Publications
2024
- Dimitrios Kleftogiannis; Sonia Gavasso; Benedicte Sjo Tislevoll et al. (2024). Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry. (external link)
- Bram Danneels; Raquel Ruivo; Diogo Oliveira et al. (2024). Gene set annotation and pseudogene prediction using reference genomes. (external link)
- Bram Danneels; Anders Goksøyr; Inge Jonassen et al. (2024). Gene loss in the chemical defensome of marine mammals. (external link)
- Fekadu Yadetie; Xiaokang Zhang; Anna Reboa et al. (2024). Transcriptome analysis reveals effects of ethynylestradiol and bisphenol A on multiple endocrine and metabolic pathways in the pituitary and liver of female Atlantic cod (Gadus morhua). (external link)
2023
- Rezvan Ehsani; Inge Jonassen; Lars Andreas Akslen et al. (2023). LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. (external link)
- Nadja R Brun; Marta Eide; Siri Øfsthus Goksøyr et al. (2023). Toxicogenomics using precision-cut liver slice culture in fish. (external link)
- Fekadu Yadetie; Nadja Rebecca Brun; Mette Helen Bjørge Müller et al. (2023). Toxicogenomics using precision-cut liver slice culture in fish. (external link)
- Marta Eide; Anders Goksøyr; Fekadu Yadetie et al. (2023). Integrative omics-analysis of lipid metabolism regulation by peroxisome proliferator-activated receptor a and b agonists in male Atlantic cod. (external link)
- Bram Danneels; Anders Goksøyr; Inge Jonassen (2023). A genomic approach to decode marine mammal toxicology. (external link)
- Benedicte Sjo Tislevoll; Monica Hellesøy; Oda Helen Eck Fagerholt et al. (2023). Author Correction: Early response evaluation by single cell signaling profiling in acute myeloid leukemia (Nature Communications, (2023), 14, 1, (115), 10.1038/s41467-022-35624-4). (external link)
- Benedicte Sjo Tislevoll; Monica Hellesøy; Oda Helen Eck Fagerholt et al. (2023). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. (external link)
2022
- Dimitrios Kleftogiannis; Benedicte Sjo Tislevoll; Monica Hellesøy et al. (2022). Identifying predictors of survival in patients with leukemia using single-cell mass cytometry and machine learning. (external link)
- Benedicte Sjo Tislevoll; Monica Hellesøy; Oda Helen Eck Fagerholt et al. (2022). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. (external link)
- Michael Dondrup; Christiane Eichner; Sussie Dalvin et al. (2022). LiceBase- An organism-Specific Database for Functional Genomics of Salmon Louse. (external link)
2021
- Ksenia Lavrichenko; Øyvind Helgeland; Pål Rasmus Njølstad et al. (2021). SeeCiTe: a method to assess CNV calls from SNP arrays using trio data. (external link)
- Morten Goodwin; Klas Henning Pettersen; Inge Jonassen (2021). Episode 2 - Inge Jonassen forklarer sammenheng mellom kunstig intelligens og proteinfolding. (external link)
- Rune Nielsen; Yaxin Xue; Inge Jonassen et al. (2021). Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable?. (external link)
- Xiaokang Zhang; Inge Jonassen; Anders Goksøyr (2021). Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data. (external link)
- Zhaoran Zhou; Christiane Eichner; Frank Nilsen et al. (2021). A novel approach to co-expression network analysis identifies modules and genes relevant for moulting and development in the Atlantic salmon louse (Lepeophtheirus salmonis). (external link)
- Ksenia Lavrichenko; Stefan Johansson; Inge Jonassen (2021). Comprehensive characterization of copy number variation (CNV) called from array, long- and short-read data. (external link)
- Marta Eide; Xiaokang Zhang; Odd André Karlsen et al. (2021). The chemical defensome of five model teleost fish. (external link)
- Christine Stansberg; Eivind Hovig; Nils Peder Willassen et al. (2021). Det er arbeidskrevende å gjøre data delbare!. (external link)
- Rasmus Skern-Mauritzen; Ketil Malde; Christiane Eichner et al. (2021). The salmon louse genome: Copepod features and parasitic adaptations. (external link)
2020
- Essa Ahsan Khan; Xiaokang Zhang; Eileen Marie Hanna et al. (2020). Quantitative transcriptomics, and lipidomics in evaluating ovarian developmental effects in Atlantic cod (Gadus morhua) caged at a capped marine waste disposal site. (external link)
- Trygve Brautaset; Inge Jonassen; Korbinian Bösl et al. (2020). På tide å sette av fem prosent av prosjektmidlene til datahåndtering?. (external link)
- Yaxin Xue; Inge Jonassen; Lise Øvreås et al. (2020). Metagenome-assembled genome distribution and key functionality highlight importance of aerobic metabolism in Svalbard permafrost. (external link)
- Katrine Lekang; Anders Lanzén; Inge Jonassen et al. (2020). Evaluation of a eukaryote phylogenetic microarray for environmental monitoring of marine sediments. (external link)
- Marta Eide; Anders Goksøyr; Fekadu Yadetie et al. (2020). A multi-omics approach to study Ppar-mediated regulation of lipid metabolism in Atlantic cod (Gadus morhua). (external link)
- Eileen Marie Hanna; Xiaokang Zhang; Marta Eide et al. (2020). ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species. (external link)
- Julia Romanowska; Øystein Ariansen Haaland; Astanand Jugessur et al. (2020). Gene-methylation interactions: Discovering region-wise DNA methylation levels that modify SNP-associated disease risk. (external link)
See a complete overview of publications in NVA.
For publications, see also my https://scholar.google.com/citations?user=RqvFRN4AAAAJ&hl=no&oi=ao