Program
There are many methods and ways to analyze your OTU count tables. A comprehensive data analysis requires a basic understanding of the different methods. Different instructors will present diverse subjects in a mix of lectures and exercises.
We are still working on the program, but we will cover the following subjects:
- First steps - Data exploration with Phyloseq
- What about positive and negativ controls?
- Data filtering / scaling / rarifying / normalisation (?)
- Diversity Partitioning - Cluster analysis / Ordination/ Multivariate Analysis
- Network analysis
- Random forests
Confirmed speakers:
- Mahendra Mariadassou (INRA)
- Sam Holt (ENA)
- Jean-Claude Walser (GDC, ETH Zurich)
More soon!
We are still working on the program, but we will cover the following subjects:
- First steps - Data exploration with Phyloseq
- What about positive and negativ controls?
- Data filtering / scaling / rarifying / normalisation (?)
- Diversity Partitioning - Cluster analysis / Ordination/ Multivariate Analysis
- Network analysis
- Random forests
Confirmed speakers:
- Mahendra Mariadassou (INRA)
- Sam Holt (ENA)
- Jean-Claude Walser (GDC, ETH Zurich)
More soon!