Inge Jonassen
Position
Head of Department, 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
- Danneels, Bram; Ruivo, Raquel; Oliveira, Diogo et al. (2024). Gene set annotation and pseudogene prediction using reference genomes. (external link)
- Danneels, Bram; Goksøyr, Anders; Jonassen, Inge et al. (2024). Gene loss in the chemical defensome of marine mammals. (external link)
- Kleftogiannnis, Dimitrios; Gavasso, Sonia; Tislevoll, Benedicte Sjo et al. (2024). Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry. (external link)
2023
- Brun, Nadja R; Eide, Marta; Goksøyr, Siri Øfsthus et al. (2023). Toxicogenomics using precision-cut liver slice culture in fish. (external link)
- Tislevoll, Benedicte Sjo; Hellesøy, Monica; Fagerholt, Oda Helen Eck et al. (2023). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. (external link)
- Eide, Marta; Goksøyr, Anders; Yadetie, Fekadu 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)
- Tislevoll, Benedicte Sjo; Hellesøy, Monica; Fagerholt, Oda Helen Eck 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)
- Yadetie, Fekadu; Brun, Nadja Rebecca; Müller, Mette Helen Bjørge et al. (2023). Toxicogenomics using precision-cut liver slice culture in fish . (external link)
- Ehsani, Rezvan; Jonassen, Inge; Akslen, Lars Andreas et al. (2023). LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. (external link)
- Danneels, Bram; Goksøyr, Anders; Jonassen, Inge (2023). A genomic approach to decode marine mammal toxicology. (external link)
2022
- Tislevoll, Benedicte Sjo; Hellesøy, Monica; Fagerholt, Oda Helen Eck et al. (2022). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. (external link)
- Kleftogiannis, Dimitrios; Tislevoll, Benedicte Sjo; Hellesøy, Monica et al. (2022). Identifying predictors of survival in patients with leukemia using single-cell mass cytometry and machine learning. (external link)
- Dondrup, Michael; Eichner, Christiane; Dalvin, Sussie et al. (2022). LiceBase- An organism-Specific Database for Functional Genomics of Salmon Louse. (external link)
2021
- Stansberg, Christine; Hovig, Eivind; Willassen, Nils Peder et al. (2021). Det er arbeidskrevende å gjøre data delbare!. (external link)
- Goodwin, Morten; Pettersen, Klas Henning; Jonassen, Inge (2021). Episode 2 - Inge Jonassen forklarer sammenheng mellom kunstig intelligens og proteinfolding. (external link)
- Skern-Mauritzen, Rasmus; Malde, Ketil; Eichner, Christiane et al. (2021). The salmon louse genome: Copepod features and parasitic adaptations. (external link)
- Lavrichenko, Ksenia; Helgeland, Øyvind; Njølstad, Pål Rasmus et al. (2021). SeeCiTe: a method to assess CNV calls from SNP arrays using trio data. (external link)
- Eide, Marta; Zhang, Xiaokang; Karlsen, Odd André et al. (2021). The chemical defensome of five model teleost fish. (external link)
- Zhou, Zhaoran; Eichner, Christiane; Nilsen, Frank 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)
- Zhang, Xiaokang; Jonassen, Inge; Goksøyr, Anders (2021). Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data. (external link)
- Lavrichenko, Ksenia; Johansson, Stefan; Jonassen, Inge (2021). Comprehensive characterization of copy number variation (CNV) called from array, long- and short-read data. (external link)
- Nielsen, Rune; Xue, Yaxin; Jonassen, Inge et al. (2021). Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable?. (external link)
2020
- Barzine, Mitra Parissa; Freivalds, Karlis; Wright, James C. et al. (2020). Using Deep Learning to Extrapolate Protein Expression Measurements. (external link)
- Hanna, Eileen Marie; Zhang, Xiaokang; Eide, Marta et al. (2020). ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species. (external link)
- Stansberg, Christine; Willassen, Nils P; Thomassen, Gard O Sundby et al. (2020). How open databases turn out to be crucial in the fight against Covid-19. (external link)
- Brautaset, Trygve; Jonassen, Inge; Bösl, Korbinian et al. (2020). På tide å sette av fem prosent av prosjektmidlene til datahåndtering? . (external link)
- Chen, Yi-Ju; Roumeliotis, Theodoros I.; Chang, Ya-Hsuan et al. (2020). Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression. (external link)
- Bösl, Korbinian; Ghavidel, Fatemeh; Tekle, Kidane M et al. (2020). End-to-End Data Management Toolkit for Norwegian Life Scientists. (external link)
- Zhang, Xiaokang; Jonassen, Inge (2020). RASflow: an RNA-Seq analysis workflow with Snakemake. (external link)
- Xue, Yaxin; Lanzén, Anders; Jonassen, Inge (2020). Reconstructing ribosomal genes from large scale total RNA meta-transcriptomic data. (external link)
See a complete overview of publications in Cristin.
For publications, see also my https://scholar.google.com/citations?user=RqvFRN4AAAAJ&hl=no&oi=ao