Grant: Cat Gr: Develop./validation of new biomedical techniques/technolo. - Cancer Res.

Multi-omics analysis is a method that combines information from different scientific fields like genomics, transcriptomics, proteomics, and epigenomics. Each of these fields studies a different aspect of cells, such as genes, RNA, proteins, and regulatory DNA elements, to give us a complete picture of how biological systems work. By putting together data from these areas, scientists can better understand the processes that keep us healthy or lead to disease. Analysing these different types of data is complicated because these techniques measure different types of molecules. Multi-omics analysis methods help understand fundamental biological mechanisms, identify important markers for diseases, understand how diseases develop, and find new ways to treat them, and ultimately open new possibilities for personalized medicine. In our lab, we develop computational tools and algorithms to jointly analyse multiple omics datasets and select the most important genes and pathways that are co-regulated in the data. In this project, we propose to develop easy-to-use online tools to analyse and visualise multi-omics datasets. We will also extend our methods to newer, highly complex datasets that measure gene activity in single cells.