2 Program
The course takes place daily from 9am – 5pm (CEST), including coffee and lunch breaks.
We expect that participants will prepare for the course in advance, see section 4. Online support is available.
The material follows open online book created by the course teachers, Orchestrating Microbiome Analysis https://microbiome.github.io/OMA. This is R/Bioconductor framework for multi-omic data science.
Figure source: Moreno-Indias et al. (2021) Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Frontiers in Microbiology 12:11.
2.1 Day 1 - Open data science
Morning session
9-10 Coffee, Welcome & Practicalities
10-11 Lecture: Open & reproducible workflows
11-12 Demo & hands-on: Introduction to CSC RStudio notebook
12-13 Lunch break
Afternoon hands-on session
13-15 Demo: Data science framework
15-17 Hands-on: microbiome data summaries & exploration
17-18 Presentations & Discussion
2.2 Day 2 - Tabular data
Morning session
9-10 Lecture: Analysis & visualization of tabular data
10-12 Demo & hands-on: Univariate methods
12-13 Lunch break
Afternoon hands-on session
13-14 Demo: Multivariate data analysis & visualization
14-17 Hands-on: Multivariate data analysis & visualization
17-18 Presentations & Discussion
2.3 Day 3 - Multi-assay data
Morning session
9-10 Lecture: multi-omic data integration
10-12 Demo & hands-on: multi-assay data container
12-13 Lunch break
Afternoon hands-on session
13-15: Demo & hands-on: association analysis
13-17: Demo & hands-on: machine learning
17-18 Presentations & Discussion