Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops

Matthew R. Dillon, Evan Bolyen, Anja Adamov, Aeriel Belk, Emily Borsom, Zachary Burcham, Justine W. Debelius, Heather Deel, Alex Emmons, Mehrbod Estaki, Chloe Herman, Christopher R. Keefe, Jamie T. Morton, Renato R.M. Oliveira, Andrew Sanchez, Anthony Simard, Yoshiki Vázquez-Baeza, Michal Ziemski, Hazuki E. Miwa, Terry A. KerereCarline Coote, Richard Bonneau, Rob Knight, Guilherme Oliveira, Piraveen Gopalasingam, Benjamin D. Kaehler, Emily K. Cope, Jessica L. Metcalf, Michael S. Robeson, Nicholas A. Bokulich, J. Gregory Caporaso

Research output: Contribution to journalArticlepeer-review

Abstract

AU In October: Pleaseconfirmthatallheadinglevelsarerepresentedcorrectly of 2020, in response to the Coronavirus Disease:2019 (CAU OVID-19): PleasenotethatCOVID pandemic, 19ha our team hosted our first fully online workshop teaching the QIIME 2 microbiome bioinformatics platform. We had 75 enrolled participants who joined from at least 25 different countries on 6 continents, and we had 22 instructors on 4 continents. In the 5-day workshop, participants worked hands-on with a cloud-based shared compute cluster that we deployed for this course. The event was well received, and participants provided feedback and suggestions in a postworkshop questionnaire. In January of 2021, we followed this workshop with a second fully online workshop, incorporating lessons from the first. Here, we present details on the technology and protocols that we used to run these workshops, focusing on the first workshop and then introducing changes made for the second workshop. We discuss what worked well, what didn’t work well, and what we plan to do differently in future workshops.

Original languageEnglish (US)
Article numbere1009056
JournalPLoS Computational Biology
Volume17
Issue number6
DOIs
StatePublished - Jun 2021

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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