Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop
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 thi...
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American Society for Microbiology
2019
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oai:doaj.org-article:9de5fd5d8f224cc89339f00a94248b5d2021-12-02T19:46:18ZStrategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop10.1128/mSystems.00297-192379-5077https://doaj.org/article/9de5fd5d8f224cc89339f00a94248b5d2019-08-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00297-19https://doaj.org/toc/2379-5077ABSTRACT 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).Ashley ShadeTaylor K. DunivinJinlyung ChoiTracy K. TealAdina C. HoweAmerican Society for Microbiologyarticleamplicon sequencingbig datacomputingecological statisticsmetagenomicsmicrobiomeMicrobiologyQR1-502ENmSystems, Vol 4, Iss 4 (2019) |
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amplicon sequencing big data computing ecological statistics metagenomics microbiome Microbiology QR1-502 |
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amplicon sequencing big data computing ecological statistics metagenomics microbiome Microbiology QR1-502 Ashley Shade Taylor K. Dunivin Jinlyung Choi Tracy K. Teal Adina C. Howe Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
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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). |
format |
article |
author |
Ashley Shade Taylor K. Dunivin Jinlyung Choi Tracy K. Teal Adina C. Howe |
author_facet |
Ashley Shade Taylor K. Dunivin Jinlyung Choi Tracy K. Teal Adina C. Howe |
author_sort |
Ashley Shade |
title |
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
title_short |
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
title_full |
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
title_fullStr |
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
title_full_unstemmed |
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop |
title_sort |
strategies for building computing skills to support microbiome analysis: a five-year perspective from the edamame workshop |
publisher |
American Society for Microbiology |
publishDate |
2019 |
url |
https://doaj.org/article/9de5fd5d8f224cc89339f00a94248b5d |
work_keys_str_mv |
AT ashleyshade strategiesforbuildingcomputingskillstosupportmicrobiomeanalysisafiveyearperspectivefromtheedamameworkshop AT taylorkdunivin strategiesforbuildingcomputingskillstosupportmicrobiomeanalysisafiveyearperspectivefromtheedamameworkshop AT jinlyungchoi strategiesforbuildingcomputingskillstosupportmicrobiomeanalysisafiveyearperspectivefromtheedamameworkshop AT tracykteal strategiesforbuildingcomputingskillstosupportmicrobiomeanalysisafiveyearperspectivefromtheedamameworkshop AT adinachowe strategiesforbuildingcomputingskillstosupportmicrobiomeanalysisafiveyearperspectivefromtheedamameworkshop |
_version_ |
1718376042726424576 |