Taverna: lessons in creating a workflow environment for the life sciences
Taverna: lessons in creating a workflow environment for the life sciences
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DOI：
10.1002/cpe.993
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发表时间：
2006-08-25
影响因子：
2
通讯作者：
Wroe, Chris
中科院分区：
文献类型：
--
作者：
Oinn, Tom;Greenwood, Mark;Wroe, Chris
生命科学研究是建立在个人的基础上的，通常具有不同的技能，组成研究小组。这些小组利用他们的专业知识来解决科学问题。这些研究小组进行的计算机实验可以表示为工作流程，包括协调使用可能分布在全球的分析程序和信息库。关于网格计算，需求涉及到分析和信息资源的共享，而不是计算能力的共享。（我的）Grid项目已经开发了Taverna工作台，用于生命科学社区工作流的组合和执行。本文描述了在Taverna开发过程中吸取的经验教训。一个共同的主题是理解工作流程如何适应科学家的实验环境的重要性。这些课程反映了生命科学家对工作流环境需求的不断发展的理解，这与数据密集型和探索性科学的其他领域相关。版权所有(c) 2005 John Wiley & Sons, Ltd。
Life sciences research is based on individuals, often with diverse skills, assembled into research groups. These groups use their specialist expertise to address scientific problems. The in silico experiments undertaken by these research groups can be represented as workflows involving the co-ordinated use of analysis programs and information repositories that may be globally distributed. With regards to Grid computing, the requirements relate to the sharing of analysis and information resources rather than sharing computational power. The (my)Grid project has developed the Taverna Workbench for the composition and execution of workflows for the life sciences community. This experience paper describes lessons learnt during the development of Taverna. A common theme is the importance of understanding how workflows fit into the scientists' experimental context. The lessons reflect an evolving understanding of life scientists' requirements on a workflow environment, which is relevant to other areas of data intensive and exploratory science. Copyright (c) 2005 John Wiley & Sons, Ltd.