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.By the end of the boot camp, 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 analysisInvestigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.Prerequisites and Requirements: There are three requirements to attend this training:- Each participant must have an introductory background in statistics.- While beginners are most welcome, some prior exposure to the R programming language will benefit workshop participants. We will provide some material ahead of the workshop to help beginners get more familiar with R.- Each participant must have a computer with either Chrome or Firefox installed (latest update).Additional Information:- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/microbiome- Email us with any questions: ColumbiaSHARP.Microbiome@gmail.com
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