Your browser doesn't support javascript.
loading
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop.
Shade, Ashley; Dunivin, Taylor K; Choi, Jinlyung; Teal, Tracy K; Howe, Adina C.
Afiliación
  • Shade A; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA shadeash@msu.edu.
  • Dunivin TK; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.
  • Choi J; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.
  • Teal TK; Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA.
  • Howe AC; Data Carpentry, Davis, California, USA.
mSystems ; 4(4)2019 Aug 20.
Article en En | MEDLINE | ID: mdl-31431509
ABSTRACT
Here, we report our educational approach and learner evaluations of the first 5 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 to 2018. We hope this information will be useful for others who want to organize computing-intensive workshops and will 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 weeklong 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, postdoctoral scientists, faculty, and research staff).
Palabras clave