Analysis of Microbiome Community Data in R
When: Tuesday 4 December, 18h30 – 20h30
Maximum number of participants:
30 change of room, now 60 participants
Registration is CLOSED
Zach Foster, Oregon State University, USA
Niklaus Grunwald, USDA Agricultural Research Service, USA
Analysis of microbiome community data remains challenging. High throughput sequencing (HTS) has resulted in the opportunity to sequence communities of microbes using barcodes such as ITS or cox at unprecedented depth. This session will focus on the kinds of analyses typically conducted to understand community diversity in microbial ecosystems. It will cover analyses of data obtained from HTS once Operational Taxonomic Units (OTUs) are called, particularly the visualization, manipulation, and community diversity analysis of OTU abundance matrices. Participants will gain hands-on experience in R using datasets provided by instructors. Analyses will include the calculation of alpha and beta diversity, ordination, and visualizations such as heat trees using the R packages vegan and metacoder. Basic familiarity with R is required.
Materials for the workshop can be found here.