Statistical Analysis of Metagenomics Data
Metagenomic data have specific characteristics that require adapted statistical methods. Discover the most commonly used statistical tools in this field. The training begins with a reminder of hypothesis testing, associated risks, multiplicity and how to control them. Then learn what are the specificities and problems of genomic data. The training reviews classic tests for comparing groups (ANOVA, MANOVA) and their extension to tests adapted to genomic data (ANOSIM and PERMANOVA). Data visualization tools and choice of a distance metric are also discussed.