SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems.
SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems.
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DOI：
10.1093/bioinformatics/btab229
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发表时间：
2021-11-05
期刊：
影响因子：
--
通讯作者：
Thakar J
中科院分区：
文献类型：
--
作者：
Dräger A;Helikar T;Barberis M;Birtwistle M;Calzone L;Chaouiya C;Hasenauer J;Karr JR;Niarakis A;Rodríguez Martínez M;Saez-Rodriguez J;Thakar J
生物系统的计算模型可以利用广泛的快速发展的方法，包括新的实验方法，生物信息学数据分析，新兴的建模范式，数据标准和算法。来自不同领域的专家之间关于最新进展的讨论对于促进数据驱动的计算建模及其在评估和预测生物系统行为方面的日益增长的使用至关重要。为了鼓励工具、方法和预测模型的开发，并加深我们对生物系统的理解，特别兴趣社区（COSI）于2016年在生物系统计算建模（SysMod）中启动。SysMod的主要活动是在分子生物学智能系统（ISMB）会议上举行年会，该会议汇集了计算机科学家，生物学家，数学家，工程师，计算和系统生物学家。自成立以来的五年中，SysMod已经发展成为一个充满活力和不断扩大的社区，越来越多的贡献和参与者说明了这一点。SysMod维护若干在线资源，以促进社区成员之间的互动，包括一个在线论坛、一个相关会议日历和一个YouTube频道，其中有建模社区感兴趣的谈话和讲座。五年多来，对计算系统建模和多尺度数据集成的兴趣日益增长，激发并支持了SysMod社区。其成员逐渐更多地参与并积极为年度COSI会议和几个相关的社区研讨会和会议做出贡献，重点关注特定主题，包括计算建模或标准化工作的特定技术。
Computational models of biological systems can exploit a broad range of rapidly developing approaches, including novel experimental approaches, bioinformatics data analysis, emerging modelling paradigms, data standards and algorithms. A discussion about the most recent advances among experts from various domains is crucial to foster data-driven computational modelling and its growing use in assessing and predicting the behaviour of biological systems. Intending to encourage the development of tools, approaches and predictive models, and to deepen our understanding of biological systems, the Community of Special Interest (COSI) was launched in Computational Modelling of Biological Systems (SysMod) in 2016. SysMod’s main activity is an annual meeting at the Intelligent Systems for Molecular Biology (ISMB) conference, which brings together computer scientists, biologists, mathematicians, engineers, computational and systems biologists. In the five years since its inception, SysMod has evolved into a dynamic and expanding community, as the increasing number of contributions and participants illustrate. SysMod maintains several online resources to facilitate interaction among the community members, including an online forum, a calendar of relevant meetings and a YouTube channel with talks and lectures of interest for the modelling community. For more than half a decade, the growing interest in computational systems modelling and multi-scale data integration has inspired and supported the SysMod community. Its members get progressively more involved and actively contribute to the annual COSI meeting and several related community workshops and meetings, focusing on specific topics, including particular techniques for computational modelling or standardisation efforts.
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DOI：
10.1093/bioinformatics/btx250
发表时间：
2017-07-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Cinquemani E;Laroute V;Cocaign-Bousquet M;de Jong H;Ropers D
通讯作者：
Ropers D
影响因子：
9.3
作者：
Brubaker, Douglas K.;Paulo, Joao A.;Haigis, Kevin M.
通讯作者：
Haigis, Kevin M.
影响因子：
5.8
作者：
Kotiang, Stephen;Eslami, Ali
通讯作者：
Eslami, Ali
影响因子：
5.8
作者：
Naldi, Aurelien;Monteiro, Pedro T.;Chaouiya, Claudine
通讯作者：
Chaouiya, Claudine
DOI：
10.1093/bioinformatics/btx253
发表时间：
2017-07-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Pischel D;Sundmacher K;Flassig RJ
通讯作者：
Flassig RJ