What we do

The individual cells of a body exhibit a stunning diversity of phenotypes, despite carrying a largely identical genetic makeup. This is due to the distinct ways in which the same genetic information can be read, interpreted and translated into function. At the RNA Regulatory Networks (RRN) Group at the Biozentrum in Basel, we combine computational modelling with big data and experimental analysis to discover and understand the regulatory networks governing the interpretation of genetic information at the level of tissues and single cells.

Find out more about the Group’s activities

Main publications 2018

  • Gruber AJ et al.
    Terminal exon characterization with TECtool reveals an abundance of cell-specific isoforms.
    Nat Methods, https://doi.org/10.1038/s41592-018-0114-z
  • Rzepiela A et al.
    Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction.
    Mol Syst Biol, doi: 10.15252/msb.20188266
  • Gruber AJ et al.
    Discovery of physiological and cancer-related regulators of 3' UTR processing with KAPAC.
    Genome Biol, doi: 10.1186/s13059-018-1415-3


University basel

Mihaela Zavolan
RNA Regulatory Networks Group
University of Basel
Group Webpage

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Main domain of activity:

  • Systems biology
  • Data mining
  • Deep sequencing data
  • Experimental biology
  • Gene regulatory network analysis
  • Machine learning
  • Mathematical modelling
  • Single-cell biology
  • Transcriptomics
  • Deep sequencing data

Domain of application:

  • Basic research