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

PhD fellowship in RNA Bioinformatics in Bacillus and related Organisms

Center for non-coding RNA in Technology and Health (RTH),, Department of Veterinary and Animal Sciences, Faculty Health and Medical Sciences at University of Copenhagen has an open PhD position in Bioinformatics. We are looking for an enthusiastic person to join our team for three years starting 1 April 2017 or as soon as possible thereafter. You will be a hardworking team player and a key person in the project group essential for obtaining successful results.

Application Deadline: 5 March 2017

Read more.



RTH publishes a new RNA-RNA inter­action predic­tion method, RIsearch2, that can perform large-scale screens with an exceptional runtime. RIsearch2 together with its post-processing pipe­line is a state-of-the-art method for transcriptome-wide prediction of siRNA off-targets. Read paper here.

For previous news, see here.



We are currently planning more seminars, stay tuned

For previous events, see here.

Recent resources



Large-scale prediction of RNA-RNA interactions and siRNA off-targets

RAIN: RNA-protein Association and Interaction Networks


Searching RNA-protien interactions in STRING integrated framework

Foldalign 2.5

Webserver and Software

Foldalign 2.5: Parallel version for Foldalign for structural alignment of RNA sequences


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.

Read more.

Recent publications

RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets
Alkan F, Wenzel A, Palasca O, Kerpedjiev P, Rudebeck AF, Stadler PF, et al. Nucleic Acids Res. 2017, in press. pii: gkw1325.
[ PubMed | Paper | Software ]

RAIN: RNA-protein Association and Interaction Networks
Junge A, Refsgaard JC, Garde C, Pan X, Santos A, Alkan F, et al. Database. 2017. pii: baw167, 2017
[ PubMed | Paper | Webserver ]