University of Vermont, Burlington, Vermont 05405, USA.
University of Michigan, Ann Arbor, Michigan 48109, USA.
J Biomol Tech. 2020 Jul;31(2):66-73. doi: 10.7171/jbt.20-3102-005.
Over the last decade, the cost of -omics data creation has decreased 10-fold, whereas the need for analytical support for those data has increased exponentially. Consequently, bioinformaticians face a second wave of challenges: novel applications of existing approaches (, single-cell RNA sequencing), integration of -omics data sets of differing size and scale (, spatial transcriptomics), as well as novel computational and statistical methods, all of which require more sophisticated pipelines and data management. Nonetheless, bioinformatics cores are often asked to operate under primarily a cost-recovery model, with limited institutional support. Seeing the need to assess bioinformatics core operations, the Association of Biomolecular Resource Facilities Genomics Bioinformatics Research Group conducted a survey to answer questions about staffing, services, financial models, and challenges to better understand the challenges bioinformatics core facilities are currently faced with and will need to address going forward. Of the respondent groups, we chose to focus on the survey data from smaller cores, which made up the majority. Although all cores indicated similar challenges in terms of changing technologies and analysis needs, small cores tended to have the added challenge of funding their operations largely through cost-recovery models with heavy administrative burdens.
在过去的十年中,组学数据的创建成本降低了 10 倍,而对这些数据的分析支持需求却呈指数级增长。因此,生物信息学家面临着第二波挑战:现有方法的新应用(例如单细胞 RNA 测序)、不同大小和规模的组学数据集的整合(例如空间转录组学),以及新的计算和统计方法,所有这些都需要更复杂的管道和数据管理。尽管如此,生物信息学核心通常被要求主要以成本回收模式运作,机构支持有限。为了评估生物信息学核心的运作情况,生物分子资源设施基因组学生物信息学研究组协会进行了一项调查,以回答有关人员配备、服务、财务模型和挑战的问题,以便更好地了解生物信息学核心设施目前面临的挑战,并需要解决这些问题。在被调查的群体中,我们选择重点关注来自较小核心的调查数据,这些核心占大多数。尽管所有核心都表示在技术和分析需求不断变化方面面临类似的挑战,但小型核心往往面临着更大的挑战,即主要通过成本回收模式为其运营提供资金,而这种模式的行政负担很重。