Oliver Shannon L, Lenards Andrew J, Barthelson Roger A, Merchant Nirav, McKay Sheldon J
The iPlant Collaborative.
The University of Arizona, Tucson, Arizona.
Curr Protoc Bioinformatics. 2013 Jun;Chapter 1:1.22.1-1.22.26. doi: 10.1002/0471250953.bi0122s42.
The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, the Discovery Environment also creates a unified space in which researchers can access scalable tools. Researchers can use available Applications (Apps) to execute analyses on their data, as well as customize or integrate their own tools to better meet the specific needs of their research. These Apps can also be used in workflows that automate more complicated analyses. This module describes how to use the main features of the Discovery Environment, using bioinformatics workflows for high-throughput sequence data as examples.
iPlant协作组织是一个学术联盟，其使命是开发一个信息学和社会基础设施，以应对植物生物学中的“重大挑战”。其网络基础设施支持研究团体的计算需求，并有助于解决植物科学中的重大挑战。发现环境通过创建一个可访问的虚拟工作台，为iPlant协作组织的网络基础设施提供了一个强大而丰富的图形界面，使从学生到传统生物学研究人员和计算专家等各级专业人员都能够探索、分析和共享他们的数据。通过提供对iPlant强大的数据管理系统和高性能计算资源的访问，发现环境还创建了一个统一的空间，研究人员可以在其中访问可扩展工具。研究人员可以使用可用的应用程序（Apps）对其数据执行分析，以及定制或集成自己的工具，以更好地满足其研究的特定需求。这些应用程序还可以用于自动化更复杂分析的工作流程。本模块以高通量序列数据的生物信息学工作流程为例，描述了如何使用发现环境的主要功能。
