Fig. 5. Overview of data integration possibilities to predict biosynthetic pathways. The figure is inspired on the MicroTom135 metabolic network where coexpression networks are correlated with metabolites to generate a knowledge network of flavonoid biosynthesis genes. Other genomic data like ChIP- or DAP-seq data can also be integrated with the transcriptomic data to obtain a holistic view of gene regulation of a biosynthetic pathways. Later, metabolomics data can be added to generate an integrated knowledge network (IKN). Reaction databases can be mapped to the IKN to predict biosynthetic pathways.
