Introduction to analysing microbial genomics and multi'omics data

The aim of this workshop is to provide a thorough introduction to computational approaches for the analysis of sequencing data from microbial samples. The course will be focused on metagenomic data from microbial communities. We will explain how taxonomic and functional profiles are generated from raw sequencing data, introduce different bioinformatic approaches to process sequencing data, followed by multivariate statistical analyses and different visualization techniques. We will also cover different approaches to assemble whole genome sequencing data from short and long read sequencing. Overall, the course will consist of a mixture of lectures and hands-on tutorials.

 By the end of the course participants will:

1. Be familiar with the concepts of different workflows involved in the analysis of data from large-scale multi-omics studies.
2. Understand how to generate taxonomic and functional profiles from metagenomic sequencing data.
3. Be familiar with applying a multivariable statistical framework to generate hypotheses and account
for confounding covariates.
4. Be able to use exploratory data visualizations techniques and visualize results from the statistical analysis using R.
5. Be familiar with the assembly of whole genome sequencing data for bacterial isolates.

 Intended audience:

Master and PhD students who want to learn computational approaches for the analysis of high-dimensional sequencing data. Attendees are assumed to have a basic understanding of microbial community studies. Familiarity with the R is an advantage and recommended, but not a strict requirement for admission to the course.