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Programming languages for synthetic biology

机译:合成生物学的编程语言

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In the backdrop of accelerated efforts for creating synthetic organisms, the nature and scope of an ideal programming language for scripting synthetic organism in-silico has been receiving increasing attention. A few programming languages for synthetic biology capable of defining, constructing, networking, editing and delivering genome scale models of cellular processes have been recently attempted. All these represent important points in a spectrum of possibilities. This paper introduces Kera, a state of the art programming language for synthetic biology which is arguably ahead of similar languages or tools such as GEC, Antimony and GenoCAD. Kera is a full-fledged object oriented programming language which is tempered by biopart rule library named Samhita which captures the knowledge regarding the interaction of genome components and catalytic molecules. Prominent feature of the language are demonstrated through a toy example and the road map for the future development of Kera is also presented.
机译:在加速创建合成生物的背景下,用于在计算机上编写合成生物脚本的理想编程语言的性质和范围日益受到关注。最近尝试了几种合成生物学的编程语言,它们能够定义,构建,联网,编辑和传递细胞过程的基因组规模模型。所有这些都代表了各种可能性中的重点。本文介绍了Kera,这是一种用于合成生物学的最先进的编程语言,可以说领先于类似的语言或工具,例如GEC,Antimony和GenoCAD。 Kera是一种成熟的面向对象的编程语言,通过名为Samhita的生物零件规则库进行了改进,该库捕获了有关基因组组件和催化分子相互作用的知识。通过一个玩具示例展示了该语言的突出特征,并提供了Kera未来发展的路线图。

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