Dept of Medical Genetics | Oslo University Hospital
This is the webpage of the Non-Coding RNA group at OUS.
Our research interests include:
We are currently looking for masters students for experimental and computational projects.
please email us if you are interested.
Association between the Human Cytomegalovirus genome and severity of disease.
Investigating non-coding variation
Developing FAIR like data sharing solutions
What is a miRNA?
Prevention and Control
mapping Mycobacterium tuberculosis genotypes among genetically distinct human populations in four African countries.
probing the interesting bits
miRNA target prediction using deep learning.
A software tool to investigate miRBase annotation.
isomiR characterization and analysis
Crimean–Congo haemorrhagic fever virus (CCHFV) is a tick-borne virus with high pathogenicity to humans. CCHFV contains a three-segment [small (S), medium (M) and large (L)] genome and is prone to reassortment. Investigation of identified reassortment events can yield insight into the evolutionary history of the virus, while migration events reflect its geographical dissemination. While many studies have already considered these issues, they have investigated small numbers of isolates and lack statistical support for their findings. Here, we consider a larger set of 30 full genomes to investigate reassortment using recombination methods, as well as two sets of partial S segments comprising 393 isolates, reflecting a broader geographical range, to investigate migration events. Phylogenetic analysis revealed that the S segment showed strong geographical subdivision, but this was less apparent in the M and L segments. A total of 16 reassortment events with 22 isolates were identified with strong statistical support. Migration analysis on the partial S segments identified both long- and short-range migration events that spanned the entire geographical region in which the CCHFV has been isolated, reflecting the complex processes associated with the dissemination of the virus.