Facility for Data Sciences & Biostatistics

Our Mission We are dedicated to advancing complex data analysis across campus by providing expert guidance and tailored solutions. Leveraging our expertise in bioinformatics and statistics, we help researchers uncover meaningful insights from high-dimensional data such as mass spectrometry and next-generation sequencing. Whether it's designing custom workflows or interpreting multifaceted datasets, we're here to support your data analysis efforts.

What We Offer Our services are organized into four core domains:

Proteogenomics: Integrative analysis of transcriptomic and proteomic data through RNA sequencing and mass spectrometry, including multi-omics approaches.
Classical Bioinformatics: Sequence alignment, enrichment and network analyses, and machine learning-based sequence prediction.
Modeling: Development of kinetic, mechanistic, and predictive models using computational and statistical techniques including Bayesian inference.
Biostatistics: Study design consulting, biometric sample size calculation for preclinical animal studies (in line with 3Rs principles), and general statistical support for data interpretation.

How We Work Our flexible support model includes:

Consultation, Training & Teaching: We provide consultation and training in key topics such as sample size estimation, fundamentals of RNA-seq data analysis, and mass spectrometry data interpretation.
Collaborative Services: Short-term collaborations and service-based analyses.
Workflow Supervision: Management of user data, tool deployment, and technical support. Our team also supports researchers in applying established tools or designing customized analytical workflows to suit their specific needs.
Computing Hub: On-site infrastructure providing desk space, personalized advice on software and coding environments, and hands-on assistance.
Embedded Research: Integration of PhD students and postdoctoral fellows into longer-term collaborations for deeper scientific exchange and capacity building.