Mark Robinson
Statistical Bioinformatics Group
University of Zurich
Group Webpage
Twitter button

What do 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.

Main publications 2017

  • Nowicka et al. (2017) CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets. F1000 Research 6 (748).
  • Soneson C and Robinson MD (2017) Towards unified quality verification of synthetic count data with countsimQC. Bioinformatics, btx631.
  • Sharma et al. (2017) Male sex in houseflies is determined by Mdmd, a paralog of the generic splice factor gene CWC22. Science 356 (6338), 642-645.

Our main research topic: