Who we are
The Genomics Platform of iGE3 and the University of Geneva provides consulting
and access to the state-of-the-art methods in genomic technologies.
These technologies enable whole genomes, exomes, transcriptomes as well as more targeted sequencing.
SNP analysis (Genome-Wide Association Studies and cytogenetics), DNA copy number profiling and DNA methylation is also proposed.
The Genomics Platform offers a complete solution from advice on experimental design to data analysis.
Experimental designRecommendations about samples preparation, replicates number, internal controls are given. Guidelines for the selection of the relevant technology depending on the project are provided.
ExperimentSamples processing is performed either by the user under full supervision of the Platform staff or by the Platform staff itself.
Data analysisDepending on the application, standardized or more specific analysis pipelines are applied. Data processing tools are developed by the bioinformatics staff and proposed to users. Tools for data visualization, biological interpretation, pathway and Gene Ontology are also proposed.
October 18, 2019
This event will feature speakers who will present their findings and experiences in using our services. The meeting will also be an opportunity to meet specialists from Thermo Fisher Scientific and Illumina for a presentation and discussion on the latest technological advances and solutions. Details on the flyer. Registration is required.
Core Facilities open day
November 9, 2018
Meet the experts and discover new tools for biomedical research during this open day of the Faculty of Medicine Core Facilities. The morning session is dedicated to platform presentations. The afternoon offers the possibility to visit 5 Faculty of Medicine platforms, upon registration. For UNIGE collaborators only.
QS12K for OpenArrays
The Genomics Platform is now equipped with the QuantStudio 12K OpenArray system from Thermo Fisher Scientific. OpenArrays are ideal for genotyping and expression studies that use large number of samples, assays, or both. Considering throughput, cost saving and flexibility, this system is currently the best-fit system for pharmacogenomics testing.