Center for non-coding RNA in Technology and Health (RTH)

The center aims at developing technologies, computational methods as well as experimental approaches for analysis of the mammalian genome for non-coding RNAs in relation to (inflammatory) diseases. The center will focus on developing these technologies to exploit them and the findings in relation to diabetes. The center consists of a number of national and international partners, with the core located at the Faculty for Health and Medical Sciences of University of Copenhagen .

The people in the center cover a range of expertises including computational biology, RNA bioinformatics, molecular models in diabetes, RNA biology, animal models, functional genomics and high-throughput sequence analysis..

Join us

We are always looking for motivated and talented young scientists as well as projects or colaborations within the areas of the center. Feel free to contact us with suggestions or to ask for more information.




2021 May 28: In joint collaboration with researchers from Aarhus University, Lars Bolund Institute of Regenerative Medicine and Harvard Medical School, we present CRISPRon for enhanced gRNA efficiency prediction by deep learning based on generated and publicly available data. Read the full article in Nature Communications and visit the webserver. Also featured on CRISPR Medicine News.

Previous news.


PhD Defence: Adrian Geissler

2021-09-17: Annotation and Transcriptomic Analysis of Bacillus subtilis with Application in Biotechnology. Digital defence with partly physical presence.

Previous events.

Recent resources


Webserver and Software

CRISPR-Cas9 gRNA efficiency prediction webserver based on data integration and deep learning

Conserved RNA Structures in Drosophila

Data Resource

Conserved RNA structures in insect genomes



Multiple sequence alignments enhance boundary definition of RNA structures

Research outset

The human genome, made up of DNA, consists of three billion building blocks (nucleotides) where some regions (stretches) are complete genes. We all carry variants of the genes and some cause diseases. Here, the goal is to investigate the specific class of genes, the non-coding RNA genes, in relation to diabetes. The non-coding RNA (ncRNA) genes can be the missing components in diseases that previously have been overlooked.

Our research goal is to develop technologies for ncRNA analysis and to search for functional ncRNAs in relation to diabetes and other (inflammatory) diseases.

Research in details .

Recent publications

Modelling Nonalcoholic Steatohepatitis In Vivo—A Close Transcriptomic Similarity Supports the Guinea Pig Disease Model

Skat-Rørdam J, Ipsen DH, Seemann SE, Latta M, Lykkesfeldt J, Tveden-Nyborg P Biomedicines 2021, 9(9):1198
[ Paper ]

A non-enzymatic, isothermal strand displacement and amplification assay for rapid detection of SARS-CoV-2 RNA

Mohammadniaei M, Zhang M, Ashley J, Christensen UB, Friis-Hansen LJ, Gregersen R, et al. Nat Commun. 2021 Aug 24;12(1):5089
[ PubMed | Paper ]