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Jun 20 - 21 2024


12:00 pm - 8:00 pm

Formats (virtual, in person, hybrid)


Microbiome Data Analytics Boot Camp

June 20-21, 2024 | Livestream, virtual

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. 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.

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
  • Taxonomic annotation
  • Biodiversity estimation
  • Principal Component Analysis and PERMANOVA
  • Taxon-covariate correlation and regression modeling
  • Introduction to machine learning in microbiome data
  • Phylogenetic analysis

Audience and Requirements

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).


Maude David, PhD, Oregon State University.

Thomas Sharpton, PhD, Oregon State University.

Additional Information

Capacity is limited. Paid registration is required to attend.

Event Contact Information:
Microbiome Data Analytics Boot Camp