Cooperative development of logical modelling standards and tools with CoLoMoTo
Cooperative development of logical modelling standards and tools with CoLoMoTo
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DOI：
10.1093/bioinformatics/btv013
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发表时间：
2015-04-01
期刊：
影响因子：
5.8
通讯作者：
Chaouiya, Claudine
中科院分区：
文献类型：
--
作者：
Naldi, Aurelien;Monteiro, Pedro T.;Chaouiya, Claudine
识别参与控制关键细胞过程的大型调控和信号网络需要适当的建模方法。事实上，模型可以帮助阐明这些网络的特性，理解它们的行为，并通过计算机实验提供（可测试的）预测。在这方面，正如越来越多的已公布的模型沿着新的方法和软件工具所表明的那样，定性、逻辑框架已成为相关的方法。这一富有成效的活动，现在需要协调一致的努力，以确保模型的可重用性和工具之间的互操作性。逻辑建模框架的轮廓之后，我们提出了最重要的成就的逻辑模型和工具的联盟，沿着未来的目标。我们的目标是宣传这个开放的社区，欢迎所有对逻辑建模或相关数学和计算发展感兴趣的研究人员的贡献。
The identification of large regulatory and signalling networks involved in the control of crucial cellular processes calls for proper modelling approaches. Indeed, models can help elucidate properties of these networks, understand their behaviour and provide (testable) predictions by performing in silico experiments. In this context, qualitative, logical frameworks have emerged as relevant approaches, as demonstrated by a growing number of published models, along with new methodologies and software tools. This productive activity now requires a concerted effort to ensure model reusability and interoperability between tools.Following an outline of the logical modelling framework, we present the most important achievements of the Consortium for Logical Models and Tools, along with future objectives. Our aim is to advertise this open community, which welcomes contributions from all researchers interested in logical modelling or in related mathematical and computational developments.