16s and 18s ribosomal RNA seq analysis: OmicsLogic Metagenomics

The 16s and 18s ribosomal RNA seq analysis of hypervariable regions can yield important information about the microbiome composition. A good understanding of the way data is prepared allows researchers to navigate studies of microbial communities with ease and read library preparation protocols mentioned in common data repositories. To learn about metagenomics, we will discuss what the microbiome is, how we can use next-generation sequencing to study whole microbial communities and analyze individual microbial genomes. We will also discuss datasets that are available for analysis and study of the role microbes play in agriculture, biomedical research, and epidemiological studies of infectious diseases.

An article in Nature states that in the last 10 years, more than US$1.7 billion has been spent on human microbiome research. This huge investment confirms how important the role of the microbiome is to human health and development. For example, we now know that newborns receive essential microorganisms from their mothers. Moreover, the sugars in breast milk that infants cannot digest nourish babies’ developing microbiomes, which in turn shape their immune systems.

Major projects are underway in the United States, the European Union, China, Canada, Ireland, South Korea, and Japan. The biggest investment (around $1 billion) came from the United States and about 20% of this has gone to two phases of the Human Microbiome Project (HMP), which is creating the research resources needed for studying the human microbiome.

In our upcoming, Omics Logic Metagenomics training program will cover the main aspects of metagenomics sequencing, analysis of 16s rRNA, and other aspects of microbiology research using bioinformatics. At the end of the program, participants will be conducting independent or group projects, analyzing data from the public domain and learning from high impact biomedical publications on the microbiome.

Project Examples: 

• American Gut project: a citizen science project dedicated to metagenomics sequencing of world citizens that are contributing their microbiome samples to the study of microbiome variability
• Brain-Gut Axis: how is gut microbiome affected by diet and does it have an effect on anxiety apart from the diet itself? How can donor microbiomes help tackle this psychological and physiological condition?
• Acne: how is this skin condition affected by various types of microorganisms.

Topics:

• NGS: 16s metagenomics sequencing
• Microbiome – functional bacterial community
• Ribosomal RNA, Hypervariable regions (HVRs)
• Operational Taxonomic Units (OTUs)
• Mapping short reads on reference databases
• DADA2 pipeline for amplicon sequencing
• Viral genome detection in metagenomic data
• Evolution, fitness, and quasi-species

In this Metgenomics Omics Logic Program, you will have the opportunity to interact and collaborate with an international team of experts specialized in the application of data science to biological datasets. 

Program length: 1 month, November, 2020

Registration Cost: $150

Discount Code: MICROBE30 applicable till Nov 15

Location: Online 

Registration Link: https://metagenomics.omicslogic.com/               

Program Overview: https://youtu.be/CDsHYuMswyw

During the last program we worked with our participants throughout the program resulting in more than numerous independent Bioinformatics research proposals and projects. The project proposals were then peer reviewed by experts, some of the research proposals included had interesting dataset proposed by participants like the “Analysis of Microbial Ecology of the International Space Station and Implications for Long-term Human Missions to the Moon and Mars”.

Program Resources 

• The Educational Platform: https://edu.t-bio.info/

The Omics online courses and projects are designed around various topics, we discuss bioinformatics approaches for processing, analysis, integration, and interpretation of multi-omics data from oncology, neuroscience, agrobiology, and infectious diseases.

• The T-Bioinfo Platform: https://server.t-bio.info/ 

Developed and maintained and supported by Tauber Bioinformatics Research Center, University of Haifa, Israel the T-Bioinfo platform is an intuitive and AI guided state of art Big data analysis & Discovery platform.

• Code Omics logic Playground for Training in Python & R to apply Data Science Skills: https://code.omicslogic.com/

These exercises are designed to explain the code and help you adapt it to a project of your own with clean and efficient code practices.

For any questions, please contact – marketing@pine.bio