This project focuses on processing sequencing data from soil samples to investigate bacterial biodiversity using the 16S rRNA gene.
This repository contains all the necessary scripts, workflows, and guidelines for:
- Processing and analyzing 16S sequencing data using QIIME2.
- Generating meaningful insights into microbial communities in soil ecosystems.
This repository will guide you through the metabarcoding workflow from raw data to biodiversity analysis.
- Data Import
Prepare and import your sequencing data into QIIME2.
- Quality Control
Perform quality filtering and trimming using DADA2 for denoising.
- Clustering
Clusetring sequences similar at 97% into OTUs.
- Taxonomic Classification
Assign taxonomy to representative sequences using pre-trained classifiers and databases like SILVA or Greengenes.
- Diversity Analysis
Explore aplha diversity (Richness, Shannon index) and beta diversity (PCoA plots, PERMANOVA tests)
- Visualization
Generate visualizations, such as taxonomic bar plots and PCoA plots for community composition.