Non-SOT Event: Microbiome Data Analytics Boot Camp: Planning, generating, and analyzing 16S rRNA gen

This two-day intensive workshop presented by the Columbia University Mailman School of Public Health 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. This workshop specifically trains participants in the use of the R programming environment for the analysis of microbiome sequence data, including the implementation of the DADA2 and phyloseq software packages. It will also introduce introductory concepts and methods in the generation and analysis of shotgun metagenomic data.

Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this workshop:

1. Each participant must have an introductory background in statistics.
2. Each participant must be familiar with R.
3. Each participant must have a computer with either Chrome or Firefox installed (latest update).

Capacity is limited. Paid registration is required to attend.