Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering.

ABSTRACT: 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 showcase a set of computational tools that, combined, provide the ability to store, visualize, and leverage multiomics data to predict the outcome of bioengineering efforts. We show

SUBMITTER: Roy S 

PROVIDER: S-EPMC7902046 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature