Multiomics is a new approach in which datasets from different OMIC groups are combined during the 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. Each lesson is organized to have a theoretical part about the molecular biological approach and then the second half of the lesson will include an overview of the latest and most relevant articles that have used that specific approach. The last lesson will specifically cover data integration, with a brief explanation of the bioinformatic tools available for the analysis of OMICS databases and their application in the most recent high-impact publications.
1
Recombinant DNA Technology
2
Nucleic Acid quantification: from bench-to-bench side
3
An introduction to ‘Multi-OMICs Age’
4
Single cell analysis of cluster cells analysis?
5
Advanced Multiparameter Flow Cytometry
6
DNA sequencing & Methylome
7
Methylome vs transcriptome: weaking up the sleeping beauty
8
Transcript (protein)ome: when it all ends…or begins?
9
Proteomics & Metabolomics: an eye on into cell physiology
10
Microbiome & Virome: the good, the bad and..
11
The ugly: dissecting pharmacoresistance
12
Data Integration: using the bricks to build ‘the house”
not expected
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