Biology has changed radically in the past two decades, growing from a purely descriptive science into also a design science. The availability of tools that enable the precise modification of cells, as well as the ability to collect large amounts of multimodal data, open the possibility of sophisticated bioengineering to produce fuels, specialty and commodity chemicals, materials, and other renewable bioproducts. However, despite new tools and exponentially increasing data volumes, synthetic biology cannot yet fulfill its true potential due to our inability to predict the behavior of biological systems. Here, we present a set of tools that, combined, provide the ability to store, visualize and leverage these data to predict the outcome of bioengineering efforts.

中文翻译：

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Multiomics数据收集，可视化和利用，以指导代谢工程

在过去的二十年中，生物学已经发生了根本性的变化，从纯粹的描述性科学发展为设计科学。能够精确修饰细胞的工具的可用性，以及收集大量多峰数据的能力，为进行复杂的生物工程生产燃料，特种和商品化学品，材料以及其他可再生生物产品提供了可能性。但是，尽管有了新的工具并且数据量呈指数级增长，但由于我们无法预测生物系统的行为，合成生物学仍无法发挥其真正的潜力。在这里，我们介绍了一组工具，这些工具组合起来可以提供存储，可视化和利用这些数据来预测生物工程成果的能力。