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🦠 Complete 13-Chapter Curriculum 16S rRNA • DADA2 • QIIME 2 • Kraken2 • HUMAnN3 • MAG Binning • AMR • Microbial Ecology to Functional Resistome

Metagenomics & Microbiome Data Analysis

From environmental and clinical samples to uncultured microbial genomes. Master 16S amplicon denoising with DADA2 and QIIME 2, shotgun host decontamination, ultra-fast taxonomic profiling (Kraken2 & MetaPhlAn 4), metabolic pathway quantification (HUMAnN3), MAG binning (MetaBAT2), CheckM2 quality benchmarking, and antimicrobial resistance surveillance.

Start Chapter 1 → Metagenomics Pipelines → 13 Chapters • Production Shotgun & Amplicon Workflows

Curriculum Modules

Click on any chapter below to explore complete code, command lines, and ecological statistics.

13 Core Modules
Chapter 1 Microbiome Paradigms

1: The Microbiome Landscape: Amplicon vs Shotgun Metagenomics

16S/18S/ITS rRNA hypervariable regions vs whole metagenome shotgun (WMS), primer selection biases (V3-V4 vs V4), mock communities, and contamination controls.

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Chapter 2 DADA2 & ASVs

2: Amplicon Read Processing, Error Modeling & ASVs with DADA2

OTUs at 97% identity vs exact Amplicon Sequence Variants (ASVs), DADA2 parametric error modeling, dereplication, paired-end merging, and chimera removal.

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Chapter 3 QIIME 2 & Taxonomy

3: Taxonomic Classification & QIIME 2 Architecture

Reference databases (SILVA 138, Greengenes2, UNITE), naive Bayes classifiers, QIIME 2 artifacts (.qza, .qzv), provenance tracking, and taxonomic barplots.

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Chapter 4 Diversity & Ordination

4: Alpha and Beta Diversity Statistics & Ordination

Within-sample richness (Shannon, Simpson, Faith's PD), between-sample distance (Bray-Curtis, UniFrac), PCoA ordination, and PERMANOVA hypothesis testing.

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Chapter 5 Differential Abundance

5: Differential Abundance Testing: ANCOM-BC & MaAsLin2

The compositionality problem in microbiome sequencing, centered log-ratio (CLR) transformations, ANCOM-BC2 bias correction, ALDEx2, and multivariable linear modeling.

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Chapter 6 Shotgun QC & Host Removal

6: Shotgun Metagenomics QC & Host DNA Decontamination

Quality filtration with Fastp, aligning against host reference genomes (human/mouse), removing host contamination with kneaddata, and estimating microbial DNA proportions.

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Chapter 7 Kraken2 & Bracken

7: Ultra-Fast Taxonomic Profiling: Kraken2 & Bracken

Exact k-mer matching against Lowest Common Ancestor (LCA) trees with Kraken2, Bayesian reallocation of reads to species level with Bracken, and Krona charts.

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Chapter 8 MetaPhlAn 4 Profiling

8: Clade-Specific Marker Profiling with MetaPhlAn 4

Single-copy clade-specific marker gene catalogs, direct relative abundance estimation, viral and eukaryotic microbial profiling, and heatmaps with hclust2.

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Chapter 9 HUMAnN3 & Metabolism

9: Functional Profiling & Metabolic Pathway Reconstruction with HUMAnN3

Tiered functional search (ChocoPhlAn pangenomes & UniRef90), MetaCyc metabolic pathways, pathway completeness and abundance, and MinPath parsimony.

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Chapter 10 Metagenome Assembly

10: De Novo Metagenome Assembly: metaSPAdes & MEGAHIT

Multi-species de Bruijn graphs with uneven sequencing depth, memory-efficient assembly with MEGAHIT, metaSPAdes for complex samples, and MetaQUAST validation.

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Chapter 11 MAG Binning & DASTool

11: Metagenome-Assembled Genomes (MAGs): Binning with MetaBAT2 & MaxBin

Tetranucleotide frequency (TNF) and co-abundance coverage profiles across samples, contig binning with MetaBAT2 and MaxBin2, and multi-binner refinement with DASTool.

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Chapter 12 CheckM2 & GTDB-Tk

12: MAG Quality Assessment (CheckM) & Taxonomic Placement (GTDB-Tk)

Single-copy marker gene completeness and contamination metrics with CheckM2, MIMAG standards, and phylogenomic taxonomic placement with GTDB-Tk.

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Chapter 13 Resistome & Viral Metagenomics

13: Antimicrobial Resistance (AMR) & Viral Metagenomics

Antimicrobial resistance profiling with CARD RGI and ResFinder, virulence factors (VFDB), bacteriophage identification with VirSorter2, and viral quality with CheckV.

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