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
Postdoc in Data driven strategies for prevention of vector borne viruses in Danish livestock
We have 30 month position as a postdoc available in the Gorodkin lab. The aim of the project is to strengthen the efforts in the Danish swine and avian influenza surveillance using automated and novel computational analysis. To get more information or to apply for the position, please visit the official job posting.. Application deadline is 2025-03-04News
CRISPR/Cas9 efficiency explored: binding energies and PAM context
30 May 2022. Researchers from RTH and Aarhus University describe the energy-based binding mechanisms of CRISPR/Cas9-gRNAs and use an energy model to assess the cleavage efficiency of Cas9-gRNAs. The model is further applied to describe the DNA "sliding" of Cas9 competing for overlapping PAMs. Read the article here or see the news flash on CRISPR medicine news.
Events
Summer School - Applied Deep Learing in Bioinformatics
The 3rd Summer School on Applied Deep Learing in Bioinformatics is an opportunity for you to learn and get hands on experience with data science techniques and how to apply these beyond the topics of CRISPR and network biology. The format will consist of an approximately equal mix of lectures and hands-on.Recent resources
cyanobacteria CRISPRi
This browsers show the CRISPRi-dCas9 results for a genome-wide knockdown experimental series in Synechocystis sp. PCC 6803 under 4% and 30% CO2 concentrations
Bacillus subtilis PrsA RNAseq data
RNA-seq dataset for a study of the impact of PrsA over-expression on the Bacillus subtilis transcriptome
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
Photosynthesis in Synechocystis sp. PCC 6803 is not optimally regulated under very high CO(2)
Carrasquer-Alvarez E, Hoffmann UA, Geissler AS, Knave A, Gorodkin J, Seemann SE,
[ PubMed | Paper ]
Methane and CO2 consumption from a synthetic waste gas by microbial communities in enriched seawater
Frigaard N, Seemann SE* Carbon Capture Science & Technology 2025, 14:100324
[ Paper ]