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

What do we do?

Our group in Scientific IT Services (SIS) is an interdisciplinary bioinformatics and scientific IT group, which develops computational tools and services. We provide HPC infrastructure and services, 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. With our services, we support life science and biomedical research, as well as other basic and applied research.

Highlights 2017

In 2017, we developed the new Leonhard cluster for Big Data Analytics with 2.5 PByte storage and 170 TFlops, split between CPUs and GPUs. We also increased the available computing power of the Euler HPC cluster by about 250 TFlops to 1.25 TFlops. A focus of this year’s work was developing “Leonhard Med”, our new secure computing platform for biomedical research. At the PASC17 conference, we organized a well-attended mini-symposium on the challenges of biomedical computing infrastructure. As interoperability of data workflow will be key for biomedical computing, we initiated a program on “Data Pipeline Interoperability” and successfully completed it, together with colleagues from the EnhanceR consortium. We extended our RDM course programme to support researchers with writing Data Management Plans for their SNF proposals, and developed, together with ETH library, a course on RDM basics for researchers. For huge research data, we developed the openBIS "Big Data Link".

Main publications 2017

  • Rosenberger G et al. Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses. Nat methods 2017
  • Singer J et al. NGS-pipe: a flexible, easily extendable, and highly configurable framework for NGS analysis. Bioinformatics 2017
  • Graf U et al. Pramel7 mediates ground-state pluripotency through proteasomal-epigenetic combined pathways. Nat Cell Biol. 19, 763–773

Our main research topic: