Computational and RNA Biology – Biologisk Institut - Københavns Universitet

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Section for Computational and RNA Biology

Research spans the DNA, RNA and protein worlds and covers a novel methodological spectrum from wet-lab molecular biology to advanced computational model building and statistical inference.

MAIN RESEARCH AREAS

1) Computational biology and bioinformatics

  • Complex mechanisms of post-transcriptional gene regulation from interplay between miRNA, RNA binding proteins and RNA structure
  • Development of basic computational methods for analyzing high-throughput DNA sequencing, RNA seq and metagenomics data etc.
  • Prediction, design and determination of 3D structures of RNA and proteins by probabilistic models
  • Understanding gene regulation, transcriptomics, epigenetics using novel genomics techniques

2) Population genetics and medical genomics

  • Inference of demography and evolutionary processes of speciation
  • Development of statistical and computational methods for analysis of genomic data for quantification and correction for population stratification, detection of natural selection, loci dependent methods for modeling identity-by-descent, etc.
  • Disease mapping in both outbred and historically isolated founder populations
  • Inference of human migration patterns and genetic history

3) Experimental RNA biology and disease

  • Small RNA regulation of gene expression
  • Cytoplasmic RNA-binding proteins in fetal life and oncogenesis, with focus on post-transcriptional events such as RNA localization, RNA stability, and translational control
  • RNA structure and RNA-protein interactions in cellular processes
  • Efficiency and specificity of RNA based drugs
  • Identification of functional genomic regions using RNA degradation profiles to find
  • Disease-specific RNA isoforms and gene regulation in patients with inflammatory bowels disease, skin cancer, sclerosis

Research facilities and methods include in-house computing infrastructure and core-partner access to the national Computerome lifescience supercomputer, as well as experimental labs equipment necessary to perform all standard biochemical and molecular biology methods, as well as a cell culture facility and plant growth chambers. Moreover, the section has access to different experimental core facilities, including FACS sorting, sequencing, imaging and siRNA screens etc.