Teams

The CRC Cohort is a collection of clinical data and digital high-resolution digital pathology images pertaining to tumor cases. The collection has been assembled from a number of participating biobanks and other partners through the ADOPT BBMRI-ERIC project.

CWL workflows related to virus genomics with focus on SARS-CoV-2.

In life sciences today, the handling, analysis and storage of enormous amounts of data is a challenging issue. For example, new sequencing and imaging technologies result in the generation of large scale genomic and image data. Hence, an appropriate IT infrastructure is crucial to perform analyses with such large datasets and to ensure secure data access and storage. In addition, it is difficult to directly compare result data that have been processed at different sites, due to a lack in ...

Mass spectrometry imaging, which localizes molecules in a tag-free, spatially-resolved manner, is a powerful tool for the understanding of underlying biochemical mechanisms of biological phenomena. When analyzing MSI data, it is essential to delineate Regions-of-Interest (ROIs) that correspond to tissue areas of different anatomical or pathological labels. Spatial segmentation, obtained by clustering MSI pixels according to their mass spectral similarities, is a popular approach to automate ROI ...

This team is a testing grounds for the DeSci Labs research object development team.

Computational Biology lab at the University of Lausanne, department of computational biology (DBC). Member of the swiss institute of Bioinformatics.We aspire to better understand gene evolution and function, using statistical and computational methods. The key questions underlying our research are:How can we best extrapolate our current knowledge of molecular biology, concentrated in just a handful of model organisms, to the rest of life?Conversely, how can we exploit the wealth and diversity of ...