You selected the Breast TGCA datasets, from The Cancer Genome Atlas (Cancer Genome Atlas Network et al. Comprehensive molecular portraits of human breast tumours. Nature, 490(7418):61–70, 2012.). These datasets describe 379 samples of breast cancer. In this example, the first Omics contains miRNA expression, the second, mRNA expression and the last, protein abundances of these cancerous cells belonging to four different subtypes of tumor (Basal, Her2, Luminal A and Luminal B. Each dataset was normalized and pre-processed. You can explore with MiBiOmics the associations between miRNA, mRNA and proteins and how these associations discriminates the different subtypes of cancer cells.

You selected the TARA Oceans datasets, from The TARA Oceans Expedition. These datasets regroups information about the oceans microbiota across different geographical regions and depths. This example gathers 2 omics tables, describing 139 prokaryotic samples. These samples were collected in 8 different locations: Indian Ocean (IO), Mediterranean Sea (MS), North Atlantic Ocean (NAO), North Pacific Ocean (NPO), Red Sea (RS), South Atlantic Ocean (SAO), South Pacific Ocean (SPO) and South Ocean (SO); and across 3 depth layers: Surface (SRF), Deep chlorophyll maximum (DCM) and mesopelagic (MES). The first omics dataset contains the OTUs Abundances, the second, the NOGS expressions. You also have a taxonomic table describing the OTUs. You can use MiBiOmics to explore how ocean depth affects the prokaryotic communities across different locations.