With the increased application of high throughput technologies in basic life science research numerical analyses have become key to successful accomplishment of scientific projects. Transcriptome profiling, transcription factor binding site mapping, quantitative proteomics and quantitative imaging are just some examples of experiments to be performed in various projects within the SFB that require elaborate computational downstream analyses.
The Bioinformatics Core Unit provides assistance to all network members covering several aspects of basic research:
- we offer help designing experiments that allow for obtaining reproducible results.
- we perform low-level analysis of raw *omics data (MS, Microarray, NGS) such as quality control, ChIP-Seq peak calling and differential expression analysis. Our central expertise is ChIP-Seq, RNA-Seq and Microarray analysis.
- we perform high-level analysis such as machine learning, meta analyses, data mining of public data sets and many others.
- we offer courses in experimental design/statistics and assist researchers in getting acquainted with computational biology procedures.