Control and Computer Engineering Department, Politecnico di Torino, Italy.
Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz108.
In the last decade, genomics data have been largely adopted to sketch, study and better understand the complex mechanisms that underlie biological processes. The amount of publicly available data sources has grown accordingly, and several types of regulatory interactions have been collected and documented in literature. Unfortunately, often these efforts do not follow any data naming/interoperability/formatting standards, resulting in high-quality but often uninteroperable heterogeneous data repositories. To efficiently take advantage of the large amount of available data and integrate these heterogeneous sources of information, we built the RING (Regulatory Interaction Graph), an integrative standardized multilevel database of biological interactions able to provide a comprehensive and unmatched high-level perspective on several phenomena that take place in the regulatory cascade and that researchers can use to easily build regulatory networks around entities of interest.
在过去的十年中，基因组学数据被广泛用于描绘、研究和更好地理解生物过程背后的复杂机制。相应地，公开可用数据源的数量也在增加，并且已经在文献中收集和记录了几种类型的调节相互作用。不幸的是，这些努力往往没有遵循任何数据命名/互操作性/格式标准，导致高质量但通常不可互操作的异构数据存储库。为了有效地利用大量可用数据并整合这些异构信息源，我们构建了 RING（调控相互作用图），这是一个集成的标准化多层次生物相互作用数据库，能够提供关于调控级联中发生的几种现象的全面而无与伦比的高层视角，研究人员可以使用这些视角轻松围绕感兴趣的实体构建调控网络。
