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Complete 16S rRNA Sequencing & Microbiome Bioinformatics
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 54m | Size: 1.33 GB
Learn Mothur, SILVA database, OTU analysis, Alpha/Beta diversity, LEfSe, Metastats, PCoA, AMOVA & workflow automation.
What you'll learn
Master complete 16S rRNA microbiome analysis using Mothur from raw FASTQ files to taxonomic profiling and microbial community analysis.
Perform quality control, read assembly, chimera removal, OTU clustering, and taxonomic classification using the Mothur pipeline.
Analyze Alpha diversity, Beta diversity, rarefaction, PCoA, and differential abundance with publication-ready outputs.
Complete a real-world 16S rRNA sequencing project using Mothur, SILVA database and Linux for microbiome research.
Requirements
No prior bioinformatics or Mothur experience is needed. Everything is taught step by step from beginner to advanced.
A Windows, Mac, or Linux computer with internet access. Mothur, datasets, and installation guidance are included.
Basic knowledge of biology, microbiology, genetics, or biotechnology is helpful but not required.
Description
Complete 16S rRNA Sequencing & Microbiome Bioinformatics Masterclass
Learn the complete end-to-end workflow for16S rRNA sequencing data analysis using theMothur pipeline, from downloading raw sequencing data to identifying microbial communities, diversity analysis, differential abundance testing, and publication-ready visualizations.
This course is designed for students, researchers, microbiologists, biotechnologists, bioinformaticians, and healthcare professionals who want practical experience in microbiome bioinformatics. No prior microbiome analysis experience is required. Every step is explained from scratch with hands-on demonstrations.
You will begin by understanding the biology of the16S rRNA gene, why it is widely used for bacterial identification, and how microbiome sequencing works. You will then learn how to obtain sequencing datasets from theNCBI Sequence Read Archive (SRA), organize FASTQ files and metadata, install and configure theMothur environment, and process raw reads through a complete quality-control pipeline.
The course covers sequence assembly, filtering, alignment with theSILVA reference database, chimera removal usingVSEARCH, taxonomic classification, OTU clustering, and creation of abundance tables. You will perform alpha diversity analysis, rarefaction analysis, beta diversity analysis, Principal Coordinate Analysis (PCoA), AMOVA, Metastats, and LEfSe to identify significantly enriched microbial taxa.
Finally, you will learn how to automate the entire microbiome workflow, making it easy to analyze multiple datasets efficiently and reproducibly.
What you'll learn
- Understand the fundamentals of the microbiome and 16S rRNA sequencing.
- sequencing datasets directly from NCBI SRA.
- Work with FASTQ files and microbiome metadata.
- Process raw sequencing reads using the complete Mothur pipeline.
- Configure and use the SILVA reference database.
- Remove low-quality reads and chimeric sequences.
- Perform taxonomic classification of bacterial communities.
- Generate OTUs and microbial abundance tables.
- Calculate alpha diversity and rarefaction curves.
- Perform beta diversity, PCoA, and AMOVA analyses.
- Identify differentially abundant taxa using Metastats and LEfSe.
- Automate the complete 16S rRNA bioinformatics workflow.
Who this course is for
- Biotechnology students.
- Microbiology students.
- Bioinformatics beginners.
- Genomics and microbiome researchers.
- PhD scholars and life science researchers.
- Faculty members and healthcare researchers interested in microbiome analysis.
By the end of this course, you will be able to independently analyze 16S rRNA sequencing datasets and generate publication-ready microbiome results using Mothur.
Who this course is for
tudents, researchers, microbiologists, biotechnology professionals, PhD scholars, and clinicians working with microbiome sequencing data.
Anyone who wants to learn 16S rRNA sequencing bioinformatics using Mothur for gut microbiome, environmental microbiome, and clinical microbiome research.
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