Biological and medical research requires expertise not only in the area of interest but in multiple fields. These include computer science and statistics to analyse high volume data alongside physics and chemistry to factor in limits of your measurement device. Our expertise is centred around data and information linking all aspects of a scientific experiment. We aim to bridge the fields, to integrate all relevant information and to provide meaningful analyses.
Our expertise ranges from experimental design and study planning to data processing, bioinformatics, statistical analysis and visualisation. We offer bioinformatics analysis, for example the analysis of next generation sequencing data like variant calling or RNA-seq data and of proteomics mass spectrometry data. Thereby, we deal with complex data structures, integrate external knowledge, control batch effects, detect signals but also spurious patterns which otherwise can be distractive. We apply a variety of tools with an emphasis on freely available software like R and Bioconductor. Just like interdisciplinary research our backgrounds and expertise cover many fields from the soil up to the sun, from satellite based observations to, most importantly, -omics techniques in molecular cell biology.
In the beginning of 2019 we welcomed new team members to the group who will help CUBA expand in the areas of computing systems technology and bioinformatics to support the CORE’s strengths in the development and processing of data relating to large scale sequencing and genotyping studies. In particular, analysis pipelines are developed using R and Python programming languages and are excecuted in a High Performance Computing (HPC) environment using the Snakemake workflow management system. Moving beyond standard genome, transcriptome, methylome and proteome analysis, we are aiming on more integrative multi-omics approaches, network and single-cell analyses.