Python在系统生物学中的应用
Python Unleashed on Systems Biology
摘要：
我们已经建立了一个用于生物分子反应网络建模的开源软件系统SloppyCell，该系统是用Python编写的，并大量使用第三方库进行数值计算，可视化和并行编程。我们在这里强调Python提供的一些强大功能，这些功能使SloppyCell能够进行动态代码合成，符号操作和复杂参数空间的并行探索。
英文摘要：
We have built an open-source software system for the modeling of biomolecular reaction networks, SloppyCell, which is written in Python and makes substantial use of third-party libraries for numerics, visualization, and parallel programming. We highlight here some of the powerful features that Python provides that enable SloppyCell to do dynamic code synthesis, symbolic manipulation, and parallel exploration of complex parameter spaces.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
