Microbiome Data Analytics Boot Camp: Planning, generating, and analyzing 16S rRNA gene sequencing surveys
The Microbiome Data Analytics Boot Camp is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of 16S rRNA gene sequencing surveys including planning, generating and analyzing sequencing datasets.
This two-day intensive workshop will provide a rigorous introduction to the theory and methodology underlying the design, generation, and analysis of Amplicon Sequence Variant (ASV) based investigations of microbial communities. The workshop will introduce state-of-the-art techniques using the R language and environment. A team of leading experts in microbiome data analytics and statistics will offer a hands-on experience in learning how to implement these techniques by integrating publicly available data and R packages to explore and understand some of the pitfalls and information drawn from 16S rRNA data analysis.
By the end of the workshop, participants will be familiar with the following topics:
The theoretical basis underpinning 16S rRNA investigations
Methodologies for generating 16S rRNA sequence data
16S sequence data quality control
Amplicon sequence variant inference
Principal Component Analysis and PERMANOVA
Taxon-covariate correlation and regression modeling
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
PREREQUISITES AND REQUIREMENTS
There are three prerequisites and requirements to attend this workshop:
Each participant must have an introductory background in statistics.
Each participant must be familiar with R and a basic UNIX command line interface.
Each participant must have a laptop with either Chrome or Firefox installed (latest update). Additionally, participants need an SSH client (e.g., terminal for Mac or putty for Windows) installed on their machine prior to the first day of the workshop. SSH clients are available for free download and installation on Mac, PC, and Linux devices.