Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop
Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop
复制标题
培养支持微生物组分析的计算技能的策略：EDAMAME 研讨会的五年视角
DOI：
10.1128/msystems.00297-19
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发表时间：
2019
期刊：
影响因子：
6.4
通讯作者：
Greene, Casey S.
中科院分区：
文献类型：
--
作者：
Shade, Ashley;Dunivin, Taylor K.;Choi, Jinlyung;Teal, Tracy K.;Howe, Adina C.;Greene, Casey S.
在这里，我们报告了我们的教育方法和学习者对微生物生态学宏基因组进展数据分析探索（EDAMAME）研讨会前5年的评估，该研讨会每年在密歇根州立大学的凯洛格生物站举行，从2014年到2018年。我们希望这些信息将是有用的，为其他人谁想要组织计算密集型研讨会，并将鼓励定量技能的发展之间microbiologist.IMPORTANCEHigh-throughput测序和相关的统计和生物信息学分析已成为常规的微生物学在过去的十年，但很少有正式的培训机会，以发展这些技能。为期一周的研讨会可以为新手提供足够的时间来介绍序列分析中的最佳计算实践和常见工作流程。我们报告我们的经验，在执行这样的研讨会针对专业学习者（研究生，博士后科学家，教师和研究人员）。
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.IMPORTANCEHigh-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).