
Metagenomics is a relatively new field of research based on high-throughput sequencing (or Next Generation Sequencing) and its popularity signifies a growing appreciation for the composition of microbial communities (microbiomes) and the genetic information their genomes carry. Metagenomics allows us to study the microbiome in its natural environment and learn about the cooperative and often symbiotic relationships between prokaryotes, eukaryotes, viruses, and archaea.
In this Omics Logic Metagenomics Specialization, we will explore how different types of analysis can be used to understand the microbial world. We will cover several bioinformatics approaches to the analysis of the microbiome. We will learn to compare microbial composition in different conditions, learn about the sequencing of viral samples and discuss how microbes evade the immune response of the host as well as evade treatment. We will do so in the context of several projects taken from high-impact publications.
Register Below & Get Started with Metagenomics Data Analysis

Key Topics Covered:
Metagenomic sequencing data can be used to analyze microbiome composition & species diversity. In this program, you will learn about processing 16s rRNA data with DADA2, visualizing OTU abundance tables for diversity & using the Phyloseq R package that can help build phylogeny-aware species richness.
Program Syllabus: Metagenomics (Starting May 17, 2022)
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Introduction to Metagenomics: 16s metagenomics sequencingSession Topics:
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Microbiome - functional bacterial communitySession Topics:
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DADA2 Microbiome variability and compositionSession Topics:
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In-depth, Hands-on Project Example: American Gut and the Human Microbiome VariabilitySession Topics:
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In-depth, Hands-on Project Example: Microbiome, Diet and Anxiety - the Gut-brain AxisSession Topics:
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Developing your own project from NCBI publicly available dataSession Topics:
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Metagenomics Project feedback & Review Session Topics:
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OMICSLOGIC METAGENOMICS LIVE SESSIONS
- Overview of Methods and Applications for Metagenomics Sequencing and Analysis
- Big Data Analysis Platform : Metagenomics Analysis on the T-Bioinfo Server
- Interpretation and Meaning: Statistical Analysis, Visualization & Interpretation using R
- Future Directions: Full metagenomic sequencing, metatranscriptomics and functional analysis