Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID.
Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
J Hered. 2020 Apr 2;111(2):227-236. doi: 10.1093/jhered/esaa001.
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.
随着下一代测序（NGS）数据集的日益丰富和复杂化，持续培训成为保护和群体遗传学研究的重要组成部分。最近举办了一个名为“ConGen 2018”的研讨会，旨在培训研究人员了解 NGS 数据在保护和生态应用方面的产生和分析的概念和实际方面。16 名讲师就如何为许多重要的研究问题制定计划、生成和分析数据提供了有益的讲座、讨论和实践练习。讲座主题涵盖了从理解概率（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等方面。我们报告了在解决保护基因组学核心问题方面的进展、NGS 数据分析方面的进展、基因组工具评估适应能力的潜力，以及培训下一代保护遗传学家的策略。
