Systematic data curation and integration to link models of human disease

描述（由申请人提供）：几十年的实验产生了大量的数据，并确定了与人类健康直接相关的特定生物功能基础的大量分子过程。然而，这些数据在了解人类健康和疾病方面的潜力尚未得到充分认识，因为出版物以自然语言报告结果，不容易识别或计算。为了从文献中获取和查询这些丰富的数据，我们开发了BioGRID，这是一个开放的分子相互作用存储库。BioGRID是一个广泛使用的资源，平均每月有超过6,500名独立访问者，他们使用自定义搜索和可视化工具探索数据库中的bbb360,000次交互。此外，BioGRID数据集是许多合作伙伴数据库的交互信息来源。人类疾病模型的描述也存在类似的挑战。虽然多年来对强大的人类疾病模型（包括酵母菌、线虫、苍蝇、斑马鱼和小鼠模型）的研究提供了许多信息，但这些模型彼此之间以及与人类疾病之间的关系尚未得到系统的组织。在这个和其他通过动物模型与人类疾病联系倡议（LAMHDl）连接的建议中，我们将通过管理关键的新数据纲要，应用复杂的数据集成新方法，将数据组织到预测网络中，以及至关重要的是，将模型系统与人类疾病过程之间的网络联系起来，进行系统的，协调的努力来扩展BioGRID数据库。我们的管理工作将全面注释RNAi表型数据和化学遗传数据，它们分别对人类疾病的准确模型和疾病的治疗干预至关重要。我们将运用数据分析技术整合这些和其他跨物种的数据，将人类疾病与所有相关模型联系起来，以预测人类疾病的新特征。我们还将开发软件工具，使研究团体能够方便地访问所有这些结果。因此，我们将使生物医学界能够访问跨多个模型的全面集成数据集，用于假设生成和人类疾病分析。

DESCRIPTION (provided by applicant): Decades of experiments have produced vast amounts of data and identified a multitude of molecular processes that underlie specific biological functions directly relevant to human health. However, the potential of these data to inform about human health and disease have not yet been fully realized because publications report results in natural language that is not easily identifiable or computable. To capture and interrogate this wealth of data from the literature, we developed the BioGRID, an open repository for molecular interactions. BioGRID is a widely used resource, with on average over 6,500 unique visitors per month who explore the > 360,000 interactions in the database with custom search and visualization tools. In addition, BioGRID data sets are the source of interaction information for a host of partner databases. An analogous challenge exists with the description of models of human disease. While much information is available from years of research in powerful models of human disease, including yeast, nematode, fly, zebrafish and mouse models, the relationship of these models to each other and to human disease has not been systematically organized. In this and other proposals connected through the Linking Animal Models to Human Disease Initiative (LAMHDl), we will undertake a systematic, coordinated effort to expand the BioGRID database through curation of pivotal new data compendia, application of sophisticated new methods for data integration, organization of data into predicted networks, and critically, linkage of networks between model systems and human disease processes. Our curation effort will comprehensively annotate RNAi phenotype data and chemical genetic data, which are crucial for accurate models of human disease and therapeutic intervention in disease, respectively. We will apply data analysis techniques to integrate these and other data across species to link human diseases with all relevant models to predict new features of human disease. We will also develop software tools to allow facile access of the research community to all of these results. Thus, we will enable the biomedical community to access fully comprehensive, integrated datasets across multiple models for hypothesis generation and analysis of human diseases.