We are excited to announce the launch of Metagenomics 2, a new course in the Metagenomics series. Metagenomics 2 delves deeper into the application of bioinformatics for the study of microbes. The course teaches one to learn how to compare microbial compositions in different conditions. It deals in depth with 16s amplicon sequencing and the DADA2 pipeline that was recently implemented on the T-Bio.Info server.
The course is divided into three sections – (1) Introduction, (2) Studying Microbial Diversity using 16s Metagenomics, and (3) Characterizing Sample Species Abundance, Alpha and Beta Diversity. The course will introduce us to topics like the microbiome as a functional community, 16S metagenomics sequencing, the challenges in metagenomics analysis, mapping on databases, DADA2 pipeline and phylogenetic analysis. Each of the course section has quizzes that test your progress.
The Metagenomics 2 course will help anyone with an interest in microbiology to learn more about microbial genomes, communities (or “biomes”) and their relationship with the host environment. One of the discussed projects in this course is a study on the gut-brain axis that demonstrates how a specific diet affects the gut microbiome and may also affect behavior, linking animal anxiety to an implanted microbiome from high fat diet donors.
The course also provides a practical, hands-on guide to find the right kind of amplicon 16s metagenomic data and analysis of this data using the DADA2 pipeline. The pipeline works reduce noise typically found in such sequencing and helps assign taxonomy to microbial composition that allows us to study microbiome composition. Additional popular programs in R like phyloseq are made available to make phylogenetic trees, calculate NMDS and alpha diversity. The full pipeline can also be implemented using open-source code and published in research publications.
To provide students with a full overview of metagenomics, we recently launched the Omicslogic Metagenomics program. This program compiles the information we provide in online courses as a 2-month long guided experience. Our trainers meet with students twice per week and offer practical, hands-on exercises with lectures on relevant topics. The program is a great way to connect the information from online materials and guide one to develop a practical skill that can be demonstrated using a real dataset. Learn more about this program here. For more details, email us: email@example.com.