- E-postinge.jonassen@uib.no
- Telefon+47 55 58 47 1390524316
- BesøksadresseHøyteknologisenteret i Bergen5020 BergenRom409M3
- PostadressePostboks 78035020 Bergen
Jeg er leder for Institutt for informatikk og har i denne rollen overordnet ansvar for instituttets virksomhet inkludert forskning og utdanning.
Mitt eget forskningsfelt er bioinformatikk - utvikling og bruk av informatikk-metoder på analyse av molekylærbiologiske data. Jeg er interessert i metoder for oppdaging av mønstre, data-analyse, algoritmer og maskinlæring anvendt på molekylærbiologiske data. Min forskning inkluderer tett samarbeid med eksperimentelle grupper innen for ulike biologiske og biomedisinske felt. Jeg arbeider med analyse av ulike typer data slik som DNA-sekvenser (og genomer), proteiners sekvenser og struktur, gen-uttrykkingsdata og data produsert av høykapasitets-teknologier innen for eksempel sekvensering. Gruppen min er også engasjert i utvikling og bruk av metoder for integrasjon av data og verktøy innen bioinformatikk.
Jeg underviser primært kurs innen feltet bioinformatikk, men har også undervist blant annet brukerkurs i informatikk og kurs innen databaser.
- (2023). Toxicogenomics using precision-cut liver slice culture in fish .
- (2023). Toxicogenomics using precision-cut liver slice culture in fish.
- (2023). LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. Bioinformatics Advances.
- (2023). Integrative omics-analysis of lipid metabolism regulation by peroxisome proliferator-activated receptor a and b agonists in male Atlantic cod. Frontiers in Physiology. 17 sider.
- (2023). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. Nature Communications.
- (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). Nature Communications.
- (2022). LiceBase- An organism-Specific Database for Functional Genomics of Salmon Louse.
- (2022). Identifying predictors of survival in patients with leukemia using single-cell mass cytometry and machine learning. bioRxiv.
- (2022). Early response evaluation by single cell signaling profiling in acute myeloid leukemia. Research Square.
- (2021). The salmon louse genome: Copepod features and parasitic adaptations. Genomics. 3666-3680.
- (2021). The chemical defensome of five model teleost fish. Scientific Reports. 1-13.
- (2021). SeeCiTe: a method to assess CNV calls from SNP arrays using trio data. Bioinformatics. 1876-1883.
- (2021). Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable? BMC Pulmonary Medicine. 1-12.
- (2021). Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data.
- (2021). Episode 2 - Inge Jonassen forklarer sammenheng mellom kunstig intelligens og proteinfolding.
- (2021). Det er arbeidskrevende å gjøre data delbare! Khrono.no.
- (2021). Comprehensive characterization of copy number variation (CNV) called from array, long- and short-read data. BMC Genomics. 15 sider.
- (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). BMC Genomics. 25 sider.
- (2020). Using Deep Learning to Extrapolate Protein Expression Measurements. Proteomics.
- (2020). Reconstructing ribosomal genes from large scale total RNA meta-transcriptomic data. Bioinformatics. 3365-3371.
- (2020). ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species. Frontiers in Molecular Biosciences. 10 sider.
- (2020). Quantitative transcriptomics, and lipidomics in evaluating ovarian developmental effects in Atlantic cod (Gadus morhua) caged at a capped marine waste disposal site. Environmental Research. 1-11.
- (2020). På tide å sette av fem prosent av prosjektmidlene til datahåndtering? . Khrono.no.
- (2020). Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression. Cell. 226-244.e17.
- (2020). Metagenome-assembled genome distribution and key functionality highlight importance of aerobic metabolism in Svalbard permafrost. FEMS Microbiology Ecology. 13 sider.
- (2020). How open databases turn out to be crucial in the fight against Covid-19. NBS-nytt. 38-43.
- (2020). Evaluation of a eukaryote phylogenetic microarray for environmental monitoring of marine sediments. Marine Pollution Bulletin. 1-9.
- (2020). Common gene expression signatures in Parkinson’s disease are driven by changes in cell composition. Acta neuropathologica communications. 1-14.
- (2020). Application of quantitative transcriptomics in evaluating the ex vivo effects of per- and polyfluoroalkyl substances on Atlantic cod (Gadus morhua) ovarian physiology. Science of the Total Environment. 1-11.
- (2020). A multi-omics approach to study Ppar-mediated regulation of lipid metabolism in Atlantic cod (Gadus morhua).
Se fullstendig oversikt over publikasjoner i CRIStin.
Se også min profil i google scholar: https://scholar.google.com/citations?user=RqvFRN4AAAAJ&hl=no&oi=ao