About the research group
The BIAS group at KBM conducts research in the exciting and rapidly evolving scientific borderland between bioinformatics and applied statistics.
Our research areas include metacognition and teaching statistics, microbial genomics, network-based genomics, statistical methods in forensic genetics, and systems biology.
We collaborate with various partners and institutes, both within Norway and internationally.
Group leader is professor Torgeir Rhoden Hvidsten.
As a society, we generate more and more data at a rate never seen before in human history. Simultaneously, this data is becoming increasingly unstructured. This means that there is a growing need for people who can interpret and analyze large data sets, and conduct research in this field.
Bioinformatikk og anvendt statistikk er nødvendig for å systematisere, tolke og Bioinformatics and applied statistics are necessary to systematise, interpret and analyze large amounts of data. Bioinformatics combines the mathematical and biological disciplines to focus on biological questions. Applied statistics emphasizes the mathematical and statistical subject areas, and looks at analysis methods.
Examples of our research:
- Metacognition and teaching statistics
- Microbial genomics
- Network-based genomics
- Statistical methods in forensic genetics
- Systems biology
- Biomedical informatics (BMI), University of Oslo
- Centre for Bio-Spectroscopy and Data Modelling
- Daniel Kling, National Board of Forensic Medicine, Sweden
- Institut for Sundhedsteknologi, DTU
- Forensic Institute , Oslo University Hospital
- Helge Brovold, National Centre for Science Recruitment
- Institute of Forensic Medicine, University of Zurich
- Microbial Diversity Lab (MiDivLab), KBM, NMBU
- Vitenparken NMBU
DNAtur: Bioinformatician Torgeir R. Hvidsten, together with other researchers, blogs in Norwegian about the use of genetics and genomics in the study of biology, ecology, and evolution.
Hvidsten Research Group: Torgeir R. Hvidsten uses large genomics datasets and machine learning methods to model how genes interact in regulatory networks and how these networks make individuals and species unique. Read more on his personal website.
Metacognition: How do different personality types acquire and process information, and how do we use this knowledge to better teach students? Statistician Solve Sæbø explores the field of metacognition in his blog.
Statistrikk: Statistician Kathrine Frey Frøslie uses knitting to visualize and communicate research results and statistical concepts. She maintains her blog (in Norwegian) to bridge the gap between research and society.
Why study within BIAS? In today's world we have an explosion of data. We are generating more and more data, on an order never seen before, and this data is increasingly unstructured. This means that there is a growing need for people who can interpret and analyze large datasets.
Bioinformatics and applied statistics are necessary to systematize, interpret, and analyze large quantities of data. Bioinformatics combines the mathematical and biological disciplines, in order to focus on biological questions. Applied statistics emphasizes the mathematical and statistical disciplines, and looks at analytical methods.
The BIAS research group provides data analysis support in most fields of the life sciences, natural sciences and biosciences.