Bioinformatics: The role of non-coding RNAs in disease
Our primary research interest is using bioinformatics methodology to investigate the role of non-coding RNAs (ncRNAs) in disease. This is achieved by application of existing analytical methods, as well as the development of novel algorithms tailored to specific problems. Next Generation Sequencing (NGS) small RNA, RNA Seq and WGS datasets represent a particularly rich sort of information. By mining these data and combining with other reference sources, it is possible to characterize and classify ncRNAs, and microRNAs. From these classifications it is possible to generate rich genetic profiles from patient data. By combining these genetic profiles with patient’s phenotype data, machine learning techniques can be applied to identify important changes at the molecular level that relate to disease state. We are currently applying this approach to patient studies associated with encephalopathies in children and rheumatoid arthritis.
Contact information Group Leader Simon Rayner, Department of Medical Genetics, Tel: +47 938 06 657 E-mail: email@example.com