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Strategies for Building Computing Skills To Support Microbiome Analysis: a Five-Year Perspective from the EDAMAME Workshop

机译:支持微生物组分析的计算技能构建策略:EDAMAME研讨会的五年展望

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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).
机译:在这里,我们报告我们从2014年至2018年每年在密歇根州立大学凯洛格生物站举行的微生物生态学的元基因组学进展数据分析探索研究(EDAMAME)的前五年的教育方法和学习者评估。我们希望这些信息对于希望组织计算密集型研讨会的其他人员将很有用,并鼓励微生物学家提高定量技能。重要信息在过去的十年中,高通量测序以及相关的统计和生物信息学分析已成为微生物学的常规方法,但是很少有正式的培训机会来发展这些技能。为期一周的研讨会可以为新手提供足够的时间,让他们了解序列分析中的最佳计算方法和常见工作流程。我们报告了我们针对专业学习者(研究生,博士后科学家,教职员工和研究人员)举办的研讨会的经验。

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