Inge Jonassen

Professor, Director of Computational Biology Unit

E-mailInge.Jonassen@uib.no
Phone+47 55 58 47 13+47 905 24 316
Visitor Address
HIB - Thormøhlensgt. 55
Postal Address
Postboks 7803

5020 Bergen

My 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.

I teach mostly bioinformatics courses, but I have also been teaching user courses in informatics and operating systems.

2020. Reconstructing ribosomal genes from large scale total RNA meta-transcriptomic data. Bioinformatics. 3365-3371.
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2020. RASflow: an RNA-Seq analysis workflow with Snakemake. BMC Bioinformatics. 9 pages.
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2020. Metagenome-assembled genome distribution and key functionality highlight importance of aerobic metabolism in Svalbard permafrost. FEMS Microbiology Ecology.
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2020. Evaluation of a eukaryote phylogenetic microarray for environmental monitoring of marine sediments. Marine Pollution Bulletin. 1-9.
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2020. End-to-End Data Management Toolkit for Norwegian Life Scientists.
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2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
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2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
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2019. Toxicogenomic responses in Atlantic cod (Gadus morhua) after treatment with selected environmental contaminants in vivo and ex vivo.
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2019. The chemical defensome of Atlantic cod (Gadus morhua).
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2019. The bio.tools registry of software tools and data resources for the life sciences. Genome Biology. 4 pages.
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2019. THE CHEMICAL DEFENSOME OF ATLANTIC COD (GADUS MORHUA): HOW DOES IT DIFFER FROM DEFENSOME NETWORKS IN OTHER TELEOST SPECIES?
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2019. Repeated bronchoscopy examination of the airway microbiome. European Respiratory Journal.
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2019. RASflow: An Easy-to-use RNA-Seq Analysis Workflow.
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2019. Gene-methylation interactions: Discovering region-wise DNA methylation levels that modify SNP-associated disease risk. bioRxiv - the preprint server for biology.
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2019. ELIXIR.NO - The national infrastructure of bioinformatics.
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2019. EFFECTS OF SELECTED ENVIRONMENTAL ESTROGENS ON EXPRESSION OF FIBROBLAST GROWTH FACTOR SIGNALING PATHWAY GENES IN THE LIVER OF ATLANTIC COD (GADUS MORHUA) IN VIVO AND EX VIVO.
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2019. Chemical warfare in the marine environment.
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2019. Chemical warfare in the aquatic environment - The chemical defensome networks of model fish species.
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2019. Bacterial and archaeal metagenome-assembled genome sequences from Svalbard permafrost. Microbiology Resource Announcements (MRA). 1-3.
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2019. An Ensemble Feature Selection Framework Integrating Stability.
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2019. An Ensemble Feature Selection Framework Integrating Stability. 7 pages.
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2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver: how to and what for?
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2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver .
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2019. A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-treated Atlantic Cod (Gadus morhua) Liver.
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2019. A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-Treated Atlantic Cod (Gadus Morhua) Liver. 10 pages.
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2018. RNA-seq analysis of transcriptome responses in Atlantic cod (Gadus morhua) precision cut liver slices exposed to benzo[a]pyrene and 17α-ethynylestradiol.
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2018. Ongoing activities with eDNA as a monitoring tool in high-latitude marine ecosystems.
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2018. Norwegian e-Infrastructure for Life Sciences (NeLS). F1000 Research. 15 pages.
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2018. LiceBase – genom-data som kan bidra til kontroll av lakselus.
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2018. Development and testing of an 18S rRNA phylogenetic microarray for marine sediments. Journal of Microbiological Methods. 95-106.
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More information in national current research information system (CRIStin)

For publications, see also my https://scholar.google.com/citations?user=RqvFRN4AAAAJ&hl=no&oi=ao

Fields of competence