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.

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Postdoctoral Fellow in Disease Systems Biology at the Novo Nordisk Foundation Center for Protein Research & Center for non-coding RNA in Technology and Health

A postdoc position is available shared between the Cellular Network Biology group at the Novo Nordisk Foundation Center for Protein Research (CPR, http://www.cpr.ku.dk) and the Center for non-coding RNA in Technology and Health (RTH, http://rth.dk).

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News


Transcriptomic landscape of lncRNAs in inflammatory bowel disease

2015-05-13: Researchers lead by Prof Flemming Pociot from RTH publish the first paper on genome-wide tran­scrip­tome pro­filing of human long non-coding RNAs(lncRNAs) and protein-coding genes in Inflam­matory bowel disease (IBD). The identified lncRNA tran­scriptional signature and clinically para­meters suggest a biomarker po­tential in IBD. See the paper here.

For previous news, see here.

 

Events


We are currently planning more seminars, stay tuned

For previous events, see here.

Recent resources


Foldalign 2.5

Webserver and Software

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

RNAcop

Webserver and Software

RNAcop: Optimizing RNA structures by sequence extensions

RPAsuite

Software

Differential and coherent processing: Analyzing RNAseq data for pattern differences from different samples

 

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.

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Recent publications


Foldalign 2.5: multithreaded implementation for pairwise structural RNA alignment
Sundfeld D, Havgaard JH, de Melo AC, Gorodkin J
Bioinformatics. 2015, in press. pii: btv748.
[ PubMed | Paper | Webserver | Software ]

Optimizing RNA structures by sequence extensions using RNAcop
Hecker N, Christensen-Dalsgaard M, Seemann SE, Havgaard JH, Stadler PF, Hofacker IL, et al.
Nucleic Acids Res. 43:8135-45, 2015
[ PubMed | Paper | Webserver | Software ]