Multiomics is a new approach where the data sets of different OMIC groups are combined during analysis. The different OMIC strategies employed during multiomics are genome, proteome, transcriptome, epigenome, and microbiome. This course aims to describe the different OMIC approach from bench-to-bench side. Each lesson is organized to have a theoretical part on the molecular biological approach and then the second half of the lesson will include an overview of the latest and more relevant papers that used that specific approach. The last lesson will be specifically on the data integration, with a brief explanation of the bioinformatic tools available for analysis of OMICS databases and their application in most recent-high impact publications.
An introduction to ‘Multi-OMICs Age’
Methylome vs transcriptome: weaking up the sleeping beauty
Proteomics & Metabolomics: an eye on into cell physiology
Microbiome & Virome: the good, the bad and..
The ugly: dissecting pharmacoresistance
Data Integration: using the bricks to build ‘the house”
Not expected
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