Sims David, Ponting Chris P, Heger Andreas
Brief Funct Genomics. 2016 Jan;15(1):32-7. doi: 10.1093/bfgp/elv021. Epub 2015 May 16.
How should the next generation of genomics scientists be trained while simultaneously pursuing high quality and diverse research? CGAT, the Computational Genomics Analysis and Training programme, was set up in 2010 by the UK Medical Research Council to complement its investment in next-generation sequencing capacity. CGAT was conceived around the twin goals of training future leaders in genome biology and medicine, and providing much needed capacity to UK science for analysing genome scale data sets. Here we outline the training programme employed by CGAT and describe how it dovetails with collaborative research projects to launch scientists on the road towards independent research careers in genomics.
在追求高质量和多样化研究的同时，应该如何培养下一代基因组学科学家呢？计算基因组学分析与培训项目（CGAT）由英国医学研究理事会于2010年设立，以补充其在下一代测序能力方面的投资。CGAT围绕着两个目标构想而成：培养基因组生物学和医学领域未来的领导者，以及为英国科学界提供分析基因组规模数据集所需的能力。在此，我们概述了CGAT所采用的培训计划，并描述了它如何与合作研究项目相契合，以推动科学家踏上基因组学独立研究职业生涯的道路。
