RSU Doctoral School continues the course of five webinars on the subjects of bioinfromatics, multi-OMICS and personalized medicine.
3rd Webinar: Transcriptome & Proteome Data Analysis
In this lecture, we will start with an overview on what Multi-OMICS is, why is it of importance for Personalized Medicine (PM) and where and how Bioinformatics analyses come into play. We will briefly consider several OMICs data types, such as the Genome (from SNP chips to whole exome/genome sequencing; WES/WGS), Epigenome, Transcriptome (mainly bulk RNA-seq), Proteome, Metabolome (mainly mass spectrometry) & Microbiome (16S vs. Shotgun). Finally, we will also discuss the role of the Clinical, Environmental and Life-Style Data abd the existing methods for Data Integration, starting from simple correlations and regressions to artificial intelligence (AI)/ machine learning (ML) approaches.
Lecturer
Dr Baiba Vilne has more than 10 years of experience in bioinformatics and systems medicine, analysing genomic data (arrays, WES/WGS) transcriptome and microbiome data. Her major focus has been integrative multi-omics analysis for precision medicine, starting from pair-wise integrations (e.g., expression quantitative trait loci; eQTLs), followed by re-construction of gene co-expression networks/modules, linking those to the life-style and environment data.
Upcoming webinars in this series
12 May | Metabolome & Microbiome Data Analysis |
16 June | Clinical/Environmental/Life-Style Data Analysis & Data Integration |
