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
2018
- Xiaokang Zhang; Marta Eide; Odd Andre Karlsen et al. (2018). Modelling the chemical defensome networks --- a dynamic visualisation of the involved genes and interactions in two fish species and human. (external link)
- Marta Eide; Xiaokang Zhang; Odd Andre Karlsen et al. (2018). Modelling The Chemical Defensome Networks - A Comparative Dynamic Visualisation Of The Involved Genes And Interactions In Two Fish Species And Humans. (external link)
- Xiaokang Zhang; Inge Jonassen (2018). EFSIS: Ensemble Feature Selection Integrating Stability. (external link)
- Anders Goksøyr; Guttorm Alendal; Libe Aranguren Abadía et al. (2018). dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA). (external link)
- Xiaokang Zhang; Inge Jonassen (2018). EFSIS: Ensemble Feature Selection Integrating Stability. (external link)
1998
- Alvis Brazma; Inge Jonassen; Jaak Vilo et al. (1998). Predicting Gene Regulatory Elements from their Expression Data in the Complete Yeast Genome (Extended Abstract). (external link)
- Inge Jonassen (1998). Methods for discovering motifs from protein sequences and structures. (external link)
- Alvis Brazma; Inge Jonassen; Jaak Vilo et al. (1998). Pattern discovery in biosequences. (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)
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)
2010
- Finn Drabløs; Kjell Petersen; Jostein Johansen et al. (2010). The FUGE Bioinformatics platform: a central platform in the FUGE2 period. (external link)
- Finn Drabløs; Kjell Petersen; Jostein Johansen et al. (2010). The FUGE Bioinformatics platform: a central platform in the FUGE2 period. (external link)
- Steve Pettifer; Jon Ison; Matúš Kalaš et al. (2010). The EMBRACE web service collection. (external link)
1997
2012
- Stefan Johansson; Henrik Underthun Irgens; Kishankumar Chudasama et al. (2012). Exome sequencing and genetic testing for MODY. (external link)
- Andrea Christoforou; Michael Dondrup; Morten Mattingsdal et al. (2012). Linkage-disequilibrium-based binning affects the interpretation of GWASs. (external link)
- Anders Lanzén; Daniel H. Huson; M Gorfer et al. (2012). CREST--classification resources for environmental sequence tags. (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