Bioinformatics - DADA2 🐠

DADA2 pipeline

DADA2 is an R-based pipeline designed for high-resolution processing of amplicon sequencing data using Amplicon Sequence Variants (ASVs) insted of clustering into OTUs.

Workflow

1. Filter and Trim - Corrects sequencing errors to recover true biological sequences.
2. Learn Error Rates - Models sequencing errors from the data.
3. Dereplication - Combines identical reads for efficiency.
4. Denoising - Corrects errors and infers true sequences.
5. Chimera Removal - Filters out artificial recombinants.
6. Taxonomy Assignment - Classifies ASVs (e.g., with SILVA, Greengenes).

DADA2 Documentation