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Population genomics training for the next generation of conservation geneticists: ConGen 2018 Workshop
Journal of Heredity ( IF 3.0 ) Pub Date : 2020-03-01 , DOI: 10.1093/jhered/esaa001
Amanda Stahlke 1 , Donavan Bell 2 , Tashi Dhendup 2, 3 , Brooke Kern 4, 5 , Samuel Pannoni 2, 6 , Zachary Robinson 2 , Jeffrey Strait 2 , Seth Smith 2, 6, 7 , Brian K Hand 4, 6 , Paul A Hohenlohe 1 , Gordon Luikart 2, 4, 6
Affiliation  

Abstract The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled “ConGen 2018” was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.

中文翻译:

下一代保护遗传学家的群体基因组学培训:ConGen 2018 研讨会

摘要 下一代测序 (NGS) 数据集的可用性和复杂性日益增加,使持续培训成为保护和种群遗传学研究的重要组成部分。最近举办了一个题为“ConGen 2018”的研讨会,以在 NGS 数据生产和分析的概念和实践方面对研究人员进行培训,以用于保护和生态应用。16 位讲师提供了有关如何为许多重要研究问题计划、生成和分析数据的有用讲座、讨论和动手练习。讲座主题范围从理解概率(例如,贝叶斯)基因型调用到从基因组、转录组和表观基因组数据中检测局部适应特征。我们报告了解决保护基因组学核心问题的进展、NGS 数据分析的进展、
更新日期:2020-03-01
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