图 书 馆
链接生物医学数据空间：整合药物发现数据的经验教训Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery |
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| 课程网址: | http://videolectures.net/iswc2014_hasnain_biomedical_dataspace/ |
| 主讲教师: | Ali Hasnain |
| 开课单位: | 国立爱尔兰大学 |
| 开课时间: | 2014-12-19 |
| 课程语种: | 英语 |
| 中文简介: |  生物医学数据源的数量和异质性的增加促使研究人员采用关联数据 (LD) 技术来解决随之而来的集成挑战并加强信息发现。作为 EU GRANATUM 项目的一个组成部分，链接生物医学数据空间 (LBDS) 被开发用于语义上互连来自多个来源的数据并增强用于癌症化学预防药物发现的计算机实验设计。 LBDS 的不同组件有助于生物信息学家和生物医学研究人员发布、链接、查询和直观地探索异构数据集。我们对整个平台的可用性进行了广泛的评估。在本文中，我们展示了三种不同的工作流程，描述了域用户使用 LBDS 从集成源直观地检索有意义的信息的真实世界场景。我们报告了我们在协作过程中遇到的挑战和积累的经验中学到的重要经验教训，这将使 LD 从业者更容易在其他领域创建此类数据空间。我们还提供了一套简明的通用建议，以开发对药物发现有用的 LD 平台。 |
| 课程简介: | The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As an integral part of the EU GRANATUM project, a Linked Biomedical Dataspace (LBDS) was developed to semantically interlink data from multiple sources and augment the design of in silico experiments for cancer chemoprevention drug discovery. The different components of the LBDS facilitate both the bioinformaticians and the biomedical researchers to publish, link, query and visually explore the heterogeneous datasets. We have extensively evaluated the usability of the entire platform. In this paper, we showcase three different workflows depicting real-world scenarios on the use of LBDS by the domain users to intuitively retrieve meaningful information from the integrated sources. We report the important lessons that we learned through the challenges encountered and our accumulated experience during the collaborative processes which would make it easier for LD practitioners to create such dataspaces in other domains. We also provide a concise set of generic recommendations to develop LD platforms useful for drug discovery. |
| 关 键 词: | 生物医学数据; 化学预防药物; 药物发现 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-27：zyk |
| 最后编审: | 2021-06-27：zyk |
| 阅读次数: | 54 |