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 from 10:00 to 11:00 in the MPI-CBG atrium
  • Statistics round table - on-demand meeting to discuss questions regarding data analysis and statistics

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