What we do

In the Statistical Bioinformatics Group, we develop robust data analysis solutions, including new or improved methods, for the analysis of genome-scale data. We develop statistical methods for interpreting data from high-throughput sequencing and other technologies in the context of genome sequencing, gene expression and regulation and analysis of epigenomes. We are largely data- and problem-driven, and ultimately the methods we develop are geared to the characteristics of the technology platform generating the data. We develop publicly available open-source software tools, generally through the Bioconductor project.

Find out more about the Group’s activities


University zurich

Mark Robinson
Statistical Bioinformatics Group
University of Zurich
Group Webpage

Twitter button

Domain(s) of activity:

  • Genes and genomes
  • Benchmarking
  • Biostatistics
  • Deep sequencing data
  • Functional genomics
  • Next generation sequencing
  • Proteomics
  • Single-cell biology
  • Transcriptomics

Domain(s) of application:

  • Basic research
  • Medicine and health