Services & Facilities

Scientific Computing Facility Overview

The Scientific Computing Facility provides a unified service to assist researchers in the tackling of scientific questions involving computational analysis, data handling and image processing.  The nature of modern biological research and the movement from small scale studies to analysis of data on a global scale (genomics, transcriptomics, proteomics) requires significant computational analysis and expertise across a wide variety of fields. Modern studies often produce multiple types of 'omics data and may also include high throughput imaging data, thus requiring techniques ranging from biological sequences analysis through to image processing/analysis.  The Scientific Computing Facility combines expertise in bioinformatics data analysis, bioimage analysis and software development to produce robust workflows, algorithms and tools for the analysis, exploration and visualization of large complex datasets of mixed datatypes.

What types of request can we help with?

Service Porfolio Overview NGS & Proteomics Analysis Structural Analysis Classical Sequence Analysis Large Data Analysis and Presentation Software creation and Interface Design Teaching, Training and Outreach Object Detection Image Preparation Characterisation

Languages and Software Supported

Languages and Software Supported

Courses and Outreach

Courses offerred

  • R for data analysis and visualization
  • Fiji/ImageJ for image analysis
  • Automating repetitive tasks using the ImageJ macro language
  • Practical skills in Python, bash & git
  • Introduction to High Performance Computing

If you would like to register your interest for any of the above courses or request a tutorial covering another topic please let us know at

 Community meetings and events

  • Image Analysis Clinic - held every Tuesday at 10am in the MPI-CBG atrium
  • CODERS - held monthly with news round and presentations coverings image analysis, data analysis, software development, and software sustainability
  • Statistics round table - regular meeting to discuss issues regarding data analysis

For regular information please sign-up to the CODERS and Statistics Round Table mailing lists.

Meet the Team

How can you contact us?

Simply come and visit us in our offices on the Ground Floor of the Center for Systems Biology Dresden (CSBD), send an email request to one of us individually, or for general questions contact  We are always happy to help!