Introduction to 16S Data Analysis with DADA2

Learning Objectives

• Understand 16S Amplicon Sequencing Data Background

• Apply appropriate quality control measures

• Understand DADA2 error model and how sequence variants are inferred

• Merging chimeric reads and assigning taxonomy

• How to perform diversity analysis

• How to perform differential abundance analysis

  Workshop Website

  https://best-tufts.github.io/intro_to_16S/intro16S/01_metabarcoding-intro/