Sidra Medicine, Doha, Qatar.
Immunology. 2018 Sep;155(1):18-23. doi: 10.1111/imm.12944. Epub 2018 May 30.
Systems-scale molecular profiling data accumulating in public repositories may constitute a useful resource for immunologists. It is for instance likely that information relevant to their chosen line of research be found among the more than 90,000 data series available in the NCBI Gene Expression Omnibus. Such 'collective omics data' may also be employed as source material for training purposes. This is the case when training curricula aim at the development of bioinformatics skills necessary for the analysis, interpretation or visualization of data generated on global scales. But 'collective omics data' may also be reused for training purposes to foster the development of the skills and 'mental habits' underpinning traditional reductionist science approaches. This review describes a small-scale initiative involving investigators, for the most part immunologists, having engaged in a range of training activities relying on 'collective omics data'.
在公共存储库中积累的系统规模分子分析数据可能是免疫学家的有用资源。例如,在 NCBI 基因表达综合数据库中提供的超过 90000 个数据系列中,可能会发现与其所选研究方向相关的信息。这种“集体组学数据”也可以用作培训目的的原始材料。当培训课程旨在培养分析、解释或可视化全球范围内生成的数据所需的生物信息学技能时,就是这种情况。但是,“集体组学数据”也可以重复用于培训目的,以促进支撑传统还原论科学方法的技能和“思维习惯”的发展。本综述描述了一项小规模的计划,该计划涉及调查人员,其中大多数是免疫学家,他们参与了一系列依赖“集体组学数据”的培训活动。