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SEEK:系统生物学中共享数据和模型的平台

The SEEK: a platform for sharing data and models in systems biology
课程网址: http://videolectures.net/nib_krebs_biology/  
主讲教师: Olga Krebs
开课单位: 海德堡理论研究所
开课时间: 2012-11-23
课程语种: 英语
中文简介:

系统生物学研究通常是由跨学科的科学家小组进行的,通常是在大型财团和分布的地区。这些项目中生成的数据往往是异构的,并且经常涉及高吞吐量的“组学”分析。从项目中产生的数据和文献中迭代地开发模型。因此,对财团成员之间交换实验数据,数学模型和科学协议的需求日益增长,并且有必要记录和分享实验结果以及数据与模型之间的联系。

SEEK是一个基于Web的开放源代码平台,用于管理和交换系统生物学数据,模型和过程。它最初是在SysMO DB项目中为泛欧SysMO联盟(微生物系统生物学)开发的。但是,现在欧洲各地的许多其他联盟也正在采用它,例如Virtual Liver,EviMalar和Unicellsys。 SysMO DB解决方案正在与用户紧密合作,以一种非常务实的方法进行开发,试图适应用户的通用程序,并将其与允许有效传播,链接和交换数据和信息的方法和技术相结合。

课程简介: Systems biology research is typically performed by multidisciplinary groups of scientists, often in large consortia and in distributed locations. The data generated in these projects tend to be heterogeneous and often involves high-throughput "omics" analyses. Models are developed iteratively from data generated in the projects and from the literature. Consequently, there is a growing requirement for exchanging experimental data, mathematical models, and scientific protocols between consortium members and a necessity to record and share the outcomes of experiments and the links between data and models. The SEEK is an open-source, web-based platform for the management and exchange of Systems Biology data, models and processes. It was originally developed in the SysMO-DB project  for the pan-European SysMO consortia (Systems Biology of Micro Organisms). However, it is now also being adopted by a large number of other consortia across Europe, for example, the Virtual Liver, EviMalar and Unicellsys. The SysMO-DB solution is being developed in close collaboration with the users, and with a very pragmatic approach, trying to adapt to the common procedures of users and combining this with methods and technologies that allow an effective dissemination, linkage and exchange of data and information.
关 键 词: 系统生物学; 数学模型
课程来源: 视频讲座网
数据采集: 2020-12-16:zyk
最后编审: 2021-12-20:liyy
阅读次数: 38