...
首页> 外文期刊>Journal of Biomedical Semantics >Structuring research methods and data with the research object model: genomics workflows as a case study
【24h】

Structuring research methods and data with the research object model: genomics workflows as a case study

机译:用研究对象模型构建研究方法和数据:以基因组学工作流程为案例

获取原文
           

摘要

Background One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. Results We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. Conclusions Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well. Availability The Research Object is available at http://www.myexperiment.org/packs/428 webcite The Wf4Ever Research Object Model is available at http://wf4ever.github.io/ro webcite
机译:背景技术生物医学研究的主要挑战之一在于对大型且日益复杂的数据组合进行计算机辅助集成研究,以了解分子机制。保留带有清晰注解的此类计算实验的材料和方法对于理解实验至关重要,这一点在生物信息学界日益得到认可。我们的假设是,提供数字化,结构化的聚合以及对实验对象进行注释的方法将为科学家提供必要的元数据,以帮助他们理解和重建实验结果。为了支持这一点,我们探索了一个以工作流为中心的研究对象(RO)的语义描述模型,其中RO被定义为一种资源,该资源聚集了其他资源,例如数据集,软件,电子表格,文本等。一个案例研究的模型,在该案例中我们通过工作流分析了人体代谢物的变异。结果我们介绍了以工作流程为中心的反渗透模型在我们生物信息学案例研究中的应用。根据最近为工作流设计定义的最佳实践,产生了三个工作流。通过将实验建模为RO,我们能够自动查询实验并回答问题,例如“将哪些特定数据输入到特定工作流程以测试特定假设?”,以及“从特定工作流程中得出了哪些特定结论”。 ?”。结论应用以工作流程为中心的RO模型来汇总和注释生物信息学实验中使用的资源,使我们能够在驾驶假设,执行的工作流程及其输入数据的背景下检索实验的结论。 RO模型是可扩展的参考模型,也可以由其他系统使用。可用性研究对象可在http://www.myexperiment.org/packs/428上找到。Wf4Ever研究对象模型在http://wf4ever.github.io/ro上可以找到。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号