What we do

SIS is an interdisciplinary bioinformatics and scientific IT support group which builds up computational tools. These tools range from lab databases to reusable framework components that enable and support both data analysis and data management in life science research and beyond.
We collaborate with Swiss national research / research support initiatives, as well as European research groups and industry in the life science sector – such as like SPHN, PHRT, and BioMedITSystemsX.ch, HPC-CH and the swissuniversities EnhanceR community. We improve and port scientific software, develop data management solutions and provide associated services. We also integrate and operate data analysis pipelines, and provide training and consulting in databases, scientific software development, high-performance and cloud computing.

Find out more about the Group’s activities

Core facility activities

Here are some of the key services we provide (also see here):

  • Research data management services, training and consulting;
  • Data platforms for confidential biomedical research data;
  • Scientific software engineering;
  • Research data pipelines and reproducible research environments;
  • Data co-analysis.

Main publications 2019

  • Fischer M et al.
    Repeatability and Reproducibility of the RTgill-W1 Cell Line Assay for Predicting Fish Acute Toxicity
    Toxicological Sciences, doi: 10.1093/toxsci/kfz057
  • Omlar W et al.
    Context-dependent limb movement encoding in neuronal populations of motor cortex
    Nature Communications, doi: 10.1038/s41467-019-12670-z
  • Russell TL et al.
    Medullary Respiratory Circuit Is Reorganized by a Seasonally-Induced Program in Preparation for Hibernation
    Frontiers in Neuroscience, doi: 10.3389/fnins.2019.00376


University basel

Bernd Rinn
Scientific IT Services (SIS)
ETH Zurich, D-BSSE, Basel
Group Webpage


Domain(s) of activity:

  • Core facility and competence centre
  • Data management
  • Data security
  • Data visualisation
  • Software engineering
  • Training
  • Workflows

Domain(s) of application:

  • Basic research
  • Medicine and health
  • Ecology