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arXiv 0908.0411cs.DBcs.DSq-bio.OT
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系统生物学中的数据管理I.综述和文献目录

Data management in systems biology I - Overview and bibliography

Gerhard Mayer

摘要:

大型的系统生物学项目可能包括几个工作组,通常位于不同的国家。概述了系统生物学中现有的数据标准以及大型分布式研究项目中生成数据的管理、存储、交换和集成,从实践的角度说明了不同方法的优缺点,广泛概述了现有的软件-开源以及商业-和相关文献,从而使读者能够决定哪种数据管理方法最适合他的特殊需要。重点放在工作流程系统和基于TAB的格式的使用。这种格式的数据可以使用工作的实验生物学家熟悉的电子表格程序轻松地查看和编辑。介绍了使用工作流程对自有或公开数据库中的数据进行标准化访问以及操作程序标准化的情况。本体和语义网技术在数据管理中的应用将在后面的文章中讨论。

英文摘要:

Large systems biology projects can encompass several workgroups often located in different countries. An overview about existing data standards in systems biology and the management, storage, exchange and integration of the generated data in large distributed research projects is given, the pros and cons of the different approaches are illustrated from a practical point of view, the existing software - open source as well as commercial - and the relevant literature is extensively overview, so that the reader should be enabled to decide which data management approach is the best suited for his special needs. An emphasis is laid on the use of workflow systems and of TAB-based formats. The data in this format can be viewed and edited easily using spreadsheet programs which are familiar to the working experimental biologists. The use of workflows for the standardized access to data in either own or publicly available databanks and the standardization of operation procedures is presented. The use of ontologies and semantic web technologies for data management will be discussed in a further paper.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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