首页> 外文期刊>Bioinformatics >Improving the reuse of computational models through version control
【24h】

Improving the reuse of computational models through version control

机译:通过版本控制提高计算模型的重用性

获取原文
获取原文并翻译 | 示例
       

摘要

Motivation: Only models that are accessible to researchers can be reused. As computational models evolve over time, a number of different but related versions of a model exist. Consequently, tools are required to manage not only well-curated models but also their associated versions. Results: In this work, we discuss conceptual requirements for model version control. Focusing on XML formats such as Systems Biology Markup Language and CellML, we present methods for the identification and explanation of differences and for the justification of changes between model versions. In consequence, researchers can reflect on these changes, which in turn have considerable value for the development of new models. The implementation of model version control will therefore foster the exploration of published models and increase their reusability. Availability: We have implemented the proposed methods in a software library called Biochemical Model Version Control System. It is freely available at http://sems.uni-rostock.de/bives/. Biochemical Model Version Control System is also integrated in the online application BudHat, which is available for testing at http://sems.uni-rostock.de/budhat/ (The version described in this publication is available from http://budhat-demo.sems.uni-rostock.de/). Contact: dagmar.waltemath@uni-rostock.de
机译:动机:只有研究人员可以访问的模型才能重复使用。随着计算模型随着时间的发展,存在许多不同但相关的模型版本。因此,不仅需要管理精心策划的模型,还需要管理其相关版本的工具。结果:在这项工作中,我们讨论了模型版本控制的概念要求。着眼于XML格式,例如系统生物学标记语言和CellML,我们提出了识别和解释差异以及证明模型版本之间更改合理性的方法。结果,研究人员可以反思这些变化,这些变化反过来对于开发新模型具有相当大的价值。因此,模型版本控制的实施将促进对已发布模型的探索,并提高其可重用性。可用性:我们已经在名为“生化模型版本控制系统”的软件库中实现了建议的方法。可从http://sems.uni-rostock.de/bives/免费获得。生化模型版本控制系统也集成在在线应用程序BudHat中,该应用程序可通过http://sems.uni-rostock.de/budhat/进行测试(此出版物中描述的版本可从http:// budhat-获得。 demo.sems.uni-rostock.de/)。联系人:dagmar.waltemath@uni-rostock.de

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号