生成挑战程序平台:作物科学语义标准与工作台。

Richard Bruskiewich, Martin Senger, Guy Davenport, Manuel Ruiz, Mathieu Rouard, Tom Hazekamp, Masaru Takeya, Koji Doi, Kouji Satoh, Marcos Costa, Reinhard Simon, Jayashree Balaji, Akinnola Akintunde, Ramil Mauleon, Samart Wanchana, Trushar Shah, Mylah Anacleto, Arllet Portugal, Victor Jun Ulat, Supat Thongjuea, Kyle Braak, Sebastian Ritter, Alexis Dereeper, Milko Skofic, Edwin Rojas, Natalia Martins, Georgios Pappas, Ryan Alamban, Roque Almodiel, Lord Hendrix Barboza, Jeffrey Detras, Kevin Manansala, Michael Jonathan Mendoza, Jeffrey Morales, Barry Peralta, Rowena Valerio, Yi Zhang, Sergio Gregorio, Joseph Hermocilla, Michael Echavez, Jan Michael Yap, Andrew Farmer, Gary Schiltz, Jennifer Lee, Terry Casstevens, Pankaj Jaiswal, Ayton Meintjes, Mark Wilkinson, Benjamin Good, James Wagner, Jane Morris, David Marshall, Anthony Collins, Shoshi Kikuchi, Thomas Metz, Graham McLaren, Theo van Hintum
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引用次数: 13

摘要

世代挑战计划(GCP)是一个全球性的作物研究联盟,旨在通过比较生物学和遗传资源特性在植物育种中的应用来改进作物。一个重要的联盟研究活动是开发一个GCP作物生物信息学平台来支持GCP研究。该平台包括以下内容:(i)共享的、与平台无关的公共领域模型、本体和数据格式,以实现平台内数据和分析流的互操作性;(ii)网络服务和注册技术,用于识别、共享和整合不同的、全球分散的数据源中的信息,以及访问高性能计算(HPC)设施,对项目数据进行计算密集型、高吞吐量的分析;(iii)领域模型的特定平台中间件参考实现,将一套公共(主要是开放访问/源代码)数据库和软件工具集成到一个工作平台中,以促进生物多样性分析、作物基因组数据的比较分析和植物育种决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The generation challenge programme platform: semantic standards and workbench for crop science.

The generation challenge programme platform: semantic standards and workbench for crop science.

The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A key consortium research activity is the development of a GCP crop bioinformatics platform to support GCP research. This platform includes the following: (i) shared, public platform-independent domain models, ontology, and data formats to enable interoperability of data and analysis flows within the platform; (ii) web service and registry technologies to identify, share, and integrate information across diverse, globally dispersed data sources, as well as to access high-performance computational (HPC) facilities for computationally intensive, high-throughput analyses of project data; (iii) platform-specific middleware reference implementations of the domain model integrating a suite of public (largely open-access/-source) databases and software tools into a workbench to facilitate biodiversity analysis, comparative analysis of crop genomic data, and plant breeding decision making.

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