Groups - Lausanne - Bioinformatics Core Facility - M. Delorenzi
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Mauro Delorenzi


The Bioinformatics Core Facility (BCF) is a centre of excellence providing state-of-the-art know-how for data analysis. It bridges gaps between medicine, genomics technologies, statistics and bioinformatics and supports biomedical groups in applying high-throughput laboratory approaches.
The BCF offers consulting, teaching and training, data analysis support and collaborations.


Array- and sequencing-based genomic technologies are powerful tools that allow the simultaneous measurement of thousands or millions of molecular variants. The number of applications is gradually growing and includes RNA expression profiling, DNA aberration and methylation detection, mapping of protein binding sites and genotyping. Data analysis is a key step, but few groups in Switzerland have the relevant range of statistics and bioinformatics skills required. Proteomics profiling with microarrays or mass-spectroscopy presents similar challenges.
Genomics technologies hold vast potential to identify biomarkers for diagnosis, prognosis and treatment resistance for personalised medicine. However, advanced data analysis methods are required for their application during product development and regulatory decision-making.

Projects and Services

Statistical consulting

The BCF provides consultancy services, for the planning, experimental design and analysis of projects, as well as supporting grant proposal writing consulting service on biostatistics matters. This service is aimed at all people active in life sciences. It also includes training and teaching, data analysis services, and research collaborations.


Education and practical training

The BCF provides researchers with educational support and practical training in the use of software and analysis methods. This includes the organization of seminars, workshops and training courses.


Data analysis services

The BCF performs computationally intensive analysis using suitably chosen or in-home developed computational tools.
The BCF also offers joint analysis of client’s data with with a specifically curated version of publicly available clinical and genomics datasets.


Personal embedding

A data analyst funded by the project is coached by BCF team members, participates to its meetings, can use the BCF infrastructures and resources and works either in the BCF or at the site of the supported group or shares time between the two.

Scientific collaborations

The BCF provides support to help achieve the goals of biomedical project, no matter how big or small, through a wide range of activities. The BCF has acquired in-depth expertise in a broad range of studies and techniques, including cancer subtype discovery, biomarkers selection, class discrimination, cross-platform analysis, meta-analysis of multiple datasets. The group participates in various research teams and international consortia, where it performs advanced data analysis tasks and methodological development or evaluation, for example:

PETACC-3, COLTHERES and TRANSBIG consortia / Cancer research

These are research networks of cutting-edge biomedical technologies. Its aim is to advance translational research and individualized treatment for patients, in particular, by developing biomarkers prognostic of patient survival or predicting treatment efficacy.

P-MEDICINE consortium
This is an European research network, whose aim is to prepare an open source technological infrastructure to facilitate controlled access to multi-level biomedical data (clinical, imaging, profiling). It brings together leaders in their fields to create an informatic infrastructure for clinical trials, and to facilitate the development and use of open source data analytical tools.
This will facilitate the data management for the practice of personalised medicine.

Website for Further Information

Bioinformatics Core Facility:


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