MPI-CBG Scientific Computing Facility

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.

Team Members

	Name	Job Title	Interests
	Ian Henry	Facility Leader	Info here
	Holger Brandl	Senior Data Engineer	Info here
	Lena Hersemann	Bioinformatician	Info here
	Peter Steinbach	HPC Developer	Info here
	HongKee Moon	Senior Software Developer	Info here
	Benoit Lombardot	Senior Image Analyst	Info here
	Gayathri Nadar	Image Analyst	Info here