Abstract
Here, we report our educational approach and learner evaluations of the first five years of the Explorations in Data Analysis for Metagenomic Advances in Microbial Ecology (EDAMAME) workshop, held annually at Michigan State University’s Kellogg Biological Station from 2014-2018. We hope this information will be useful for others who want to organize computing-intensive workshops and encourage quantitative skill development among microbiologists.
Importance High-throughput sequencing and related statistical and bioinformatic analyses have become routine in microbiology in the past decade, but there are few formal training opportunities to develop these skills. A week-long workshop can offer sufficient time for novices to become introduced to best computing practices and common workflows in sequence analysis. We report our experiences in executing such a workshop targeted to professional learners (graduate students, post-doctoral scientists, faculty, and research staff).