Roberts Andrew M, Wong Aaron K, Fisk Ian, Troyanskaya Olga G
Simons Center for Data Analysis, Simons Foundation, New York, NY 10010, USA.
Simons Center for Data Analysis, Simons Foundation, New York, NY 10010, USA Department of Computer Science, Princeton University, Princeton, NJ 08540, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA
Nucleic Acids Res. 2016 Jul 8;44(W1):W587-92. doi: 10.1093/nar/gkw289. Epub 2016 Apr 20.
GIANT API provides biomedical researchers programmatic access to tissue-specific and global networks in humans and model organisms, and associated tools, which includes functional re-prioritization of existing genome-wide association study (GWAS) data. Using tissue-specific interaction networks, researchers are able to predict relationships between genes specific to a tissue or cell lineage, identify the changing roles of genes across tissues and uncover disease-gene associations. Additionally, GIANT API enables computational tools like NetWAS, which leverages tissue-specific networks for re-prioritization of GWAS results. The web services covered by the API include 144 tissue-specific functional gene networks in human, global functional networks for human and six common model organisms and the NetWAS method. GIANT API conforms to the REST architecture, which makes it stateless, cacheable and highly scalable. It can be used by a diverse range of clients including web browsers, command terminals, programming languages and standalone apps for data analysis and visualization. The API is freely available for use at http://giant-api.princeton.edu.
GIANT API为生物医学研究人员提供了对人类和模式生物中组织特异性及全局网络以及相关工具的编程访问,其中包括对现有全基因组关联研究(GWAS)数据进行功能重新排序。利用组织特异性相互作用网络,研究人员能够预测特定组织或细胞谱系中基因之间的关系,识别基因在不同组织中的变化作用,并揭示疾病与基因的关联。此外,GIANT API支持NetWAS等计算工具,该工具利用组织特异性网络对GWAS结果进行重新排序。API涵盖的网络服务包括144个人类组织特异性功能基因网络、人类全局功能网络以及六种常见模式生物的网络,还有NetWAS方法。GIANT API符合REST架构,具有无状态、可缓存和高度可扩展的特点。它可供包括网页浏览器、命令终端、编程语言以及用于数据分析和可视化的独立应用程序等各种客户端使用。该API可在http://giant-api.princeton.edu免费使用。