We are happy to support research groups across the university with state-of-the-art statistical and bioinformatics methods for biological and omics data. We also contribute to the development of new approaches based on bioinformatics, statistics, machine learning, AI, and genAI, with a focus on modern big-data applications. Typical datasets include omics, multi-omics, single-cell and spatial omics data, clinical and patient data, oncology and other human diseases, biomarker discovery, mechanism-of-action studies, drug resistance, drug target identification, metagenomics, ecological and community data, phenotyping data, and combinations of these.
We are available for informal drop-in discussions on statistical and bioinformatics analyses/questions during our weekly Friday morning Zoom helpdesk. The Helpdesk Zoom link is distributed via internal email newsletters at Helsinki University or it can be obtained by contacting us by email at grp-biodata-analytics (at) helsinki.fi