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Inge Jonassens bilde

Inge Jonassen

Professor, også leder av Computational Biology Unit
  • E-postInge.Jonassen@uib.no
  • Telefon+47 55 58 47 13+47 905 24 316
  • Besøksadresse
    Høyteknologisenteret i Bergen
    5020 Bergen
    Rom 
    5103
  • Postadresse
    Postboks 7803
    5020 Bergen

Min 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. Jeg leder en nasjonal forskerskole for bioinformatikk, biostatistikk og system-biologi (NORBIS).

  • 2020. Reconstructing ribosomal genes from large scale total RNA meta-transcriptomic data. Bioinformatics. 3365-3371.
  • 2020. RASflow: an RNA-Seq analysis workflow with Snakemake. BMC Bioinformatics. 9 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. Metagenome-assembled genome distribution and key functionality highlight importance of aerobic metabolism in Svalbard permafrost. FEMS Microbiology Ecology.
  • 2020. Evaluation of a eukaryote phylogenetic microarray for environmental monitoring of marine sediments. Marine Pollution Bulletin. 1-9.
  • 2020. End-to-End Data Management Toolkit for Norwegian Life Scientists.
  • 2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
  • 2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
  • 2019. Toxicogenomic responses in Atlantic cod (Gadus morhua) after treatment with selected environmental contaminants in vivo and ex vivo.
  • 2019. The chemical defensome of Atlantic cod (Gadus morhua).
  • 2019. The bio.tools registry of software tools and data resources for the life sciences. Genome Biology. 4 sider.
  • 2019. THE CHEMICAL DEFENSOME OF ATLANTIC COD (GADUS MORHUA): HOW DOES IT DIFFER FROM DEFENSOME NETWORKS IN OTHER TELEOST SPECIES?
  • 2019. Repeated bronchoscopy examination of the airway microbiome. European Respiratory Journal.
  • 2019. RASflow: An Easy-to-use RNA-Seq Analysis Workflow.
  • 2019. Gene-methylation interactions: Discovering region-wise DNA methylation levels that modify SNP-associated disease risk. bioRxiv - the preprint server for biology.
  • 2019. ELIXIR.NO - The national infrastructure of bioinformatics.
  • 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.
  • 2019. Chemical warfare in the marine environment.
  • 2019. Chemical warfare in the aquatic environment - The chemical defensome networks of model fish species.
  • 2019. Bacterial and archaeal metagenome-assembled genome sequences from Svalbard permafrost. Microbiology Resource Announcements (MRA). 1-3.
  • 2019. An Ensemble Feature Selection Framework Integrating Stability. 7 sider.
  • 2019. An Ensemble Feature Selection Framework Integrating Stability.
  • 2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver: how to and what for?
  • 2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver .
  • 2019. A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-treated Atlantic Cod (Gadus morhua) Liver.
  • 2019. A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-Treated Atlantic Cod (Gadus Morhua) Liver. 10 sider.
  • 2018. Mathematical modelling of nitric oxide/cyclic GMP/cyclic AMP signalling in platelets. International Journal of Molecular Sciences. 1-21.
  • 2018. LiceBase – genom-data som kan bidra til kontroll av lakselus.
  • 2018. Development and testing of an 18S rRNA phylogenetic microarray for marine sediments. Journal of Microbiological Methods. 95-106.
  • 2018. Deblender: A semi-/unsupervised multi-operational computational method for complete deconvolution of expression data from heterogeneous samples. BMC Bioinformatics. 1-17.

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