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Integrating Biomolecular Analysis and Visual Programming: Flexibility and Interactivity in the Design of Bioinformatics Tools

机译:集成生物分子分析和视觉编程:生物信息学工具设计中的灵活性和交互性

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One of the challenges in bio-computing is to enable the efficient use of a wide variety of rapidly evolving computational methods to simulate, analyze and understand complex interactions of molecular systems. Our laboratory is interested in the development of novel computational technologies and in the application of these technologies to the analysis and understanding of complex biological systems. We have been using the Python programming language as a platform to develop reusable and interoperable components dealing with different aspects of structural bioinformatics. These components are the basic building blocks from which several domain specific applications have been developed. In this paper we describe the integration of two applications developed in our laboratory: PMV and a visual-programming environment. PMV is a general purpose, command-driven molecular visualization and manipulation program built from reusable software components. The visual-programming environment enables a user to build interactively networks describing novel combinations of computational methods. We describe several applications demonstrating the synergy created by combining these two programs.
机译:生物计算中的一个挑战是能够有效地利用各种快速发展的计算方法来模拟分析和理解分子系统的复杂相互作用。我们的实验室有兴趣开发新颖的计算技术以及在复杂生物系统的分析和理解中应用这些技术。我们一直在使用Python编程语言作为平台,以开发处理结构生物信息学的不同方面的可重用和可互操作的组件。这些组件是已经开发了多个域特定应用的基本构建块。在本文中,我们描述了我们实验室开发的两种应用的集成:PMV和视觉编程环境。 PMV是一种由可重用软件组件构建的通用,指令驱动的分子可视化和操作程序。视觉编程环境使用户能够建立描述描述方法的新组合的交互网络。我们描述了通过组合这两个程序来展示协同作用的几个应用程序。

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