Course Live Advanced Dr. Omics Edu

Gut Microbiome Bioinformatics: From Raw 16S Reads to Biomarker Discovery

A hands-on microbiome bioinformatics course covering the complete 16S rRNA sequencing workflow from raw reads and quality control to microbial profiling, diversity analysis, and biomarker discovery.

  • 5.0/5
  • English
  • Updated Sep 2026
Gut Microbiome Bioinformatics: From Raw 16S Reads to Biomarker Discovery

About this course

Gut Microbiome Bioinformatics: From Raw 16S Reads to Biomarker Discovery is a practical, hands-on course designed to introduce participants to the computational analysis of gut microbiome data using 16S rRNA sequencing.

Participants will learn the complete workflow, starting with raw sequencing reads, quality assessment, and preprocessing, followed by sequence processing, feature/ASV generation, taxonomic classification, and microbial community profiling. The course also covers alpha and beta diversity analysis, visualization of microbial composition, differential abundance analysis, and approaches for identifying potential microbial biomarkers.

Through guided practical exercises, participants will work with representative 16S microbiome datasets and learn how to transform raw sequencing data into interpretable microbial community profiles and biologically meaningful insights.

What you will learn

Understand the fundamentals of gut microbiome research and 16S rRNA sequencing.
Understand the complete 16S data analysis workflow from raw reads to biological interpretation.
Perform quality assessment and preprocessing of raw 16S sequencing data.
Process sequencing reads and generate ASVs/features.
Perform taxonomic classification and microbial community profiling.
Analyze and interpret alpha and beta diversity.
Generate microbial abundance and community composition visualizations.
Perform differential abundance analysis between study groups.
Understand approaches for identifying potential microbial biomarkers.
Interpret microbiome analysis results in a biological context.

Skills you will gain

16S rRNA Data Analysis Gut Microbiome Analysis Microbiome Bioinformatics NGS Data Processing Quality Control FASTQ Processing Read Preprocessing ASV Generation Taxonomic Classification Microbial Profiling Alpha Diversity Beta Diversity Differential Abundance Analysis Microbial Community Analysis Biomarker Discovery Data Visualization Linux Command Line Biological Interpretation
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • Day 1 – Introduction to microbiome studies and amplicon sequencing principles (16S/18S/ITS overview).
  • Day 2 – Understanding marker genes, primer design, and choosing the right amplicon target.
  • Day 3 – Introduction to QIIME 2: architecture, artifacts (.qza/.qzv), and data import.
  • Day 4 – Demultiplexing raw reads and initial quality assessment in QIIME 2.
  • Day 5 – Quality filtering and trimming strategies for amplicon data.
  • Day 6 – ASV generation with DADA2: denoising, error learning, and merging paired reads.
  • Day 7 – Alternative ASV/OTU approaches with Deblur and comparing DADA2 vs Deblur outputs.
  • Day 8 – Taxonomic classification using SILVA and Greengenes2 reference databases.
  • Day 9 – Building and interpreting taxonomy bar plots and feature tables.
  • Day 10 – Alpha diversity metrics: Shannon, Chao1, and observed features.
  • Day 11 – Beta diversity metrics: Bray-Curtis, UniFrac, and ordination (PCoA).
  • Day 12 – Statistical hypothesis testing: PERMANOVA and ANOSIM for group comparisons.
  • Day 13 – Differential abundance/biomarker discovery using ANCOM-BC.
  • Day 14 – Differential abundance with ALDEx2 and comparing compositional data approaches.
  • Day 15 – Microbiome data visualization in R using phyloseq (ordination plots, heatmaps, trees).

What you need to start

  • Basic understanding of microbiology, molecular biology, or genetics.
  • Basic knowledge of NGS concepts is recommended but not mandatory.
  • Basic computer skills.
  • Familiarity with Linux or command-line tools is helpful but not required.
  • No prior microbiome bioinformatics experience is required.

Who this course is for

  • Undergraduate and postgraduate students in Bioinformatics, Biotechnology, Microbiology, Biochemistry, Biology, Genetics, and Life Sciences.
  • Bioinformatics and microbiome researchers.
  • PhD scholars and research students.
  • Researchers working with 16S rRNA sequencing data.
  • Beginners interested in microbiome bioinformatics.
  • Life-science professionals looking to develop practical microbiome analysis skills.
INR

₹45000

₹60000 25% off
USD

$600

$700 14% off

Indian learners pay in INR; international learners are billed in USD.

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Active batch
Open for enrolment
Targeted Metagenomics for Gut Microbiome
  • Starts 19 Oct 2026
  • Ends 06 Nov 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Advanced
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics Edu
  • Live
  • instructor-led interactive sessions.
  • Hands-on analysis of representative 16S rRNA sequencing datasets.
  • Step-by-step guidance through the microbiome bioinformatics workflow.
  • Practical exercises covering microbial profiling and diversity analysis.
  • Exposure to commonly used microbiome analysis tools and workflows.
  • Dataset and supporting learning resources.
  • Course materials for reference and practice.
  • Certificate of participation/completion as applicable.
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