Fig. 2: Multi-omic data of P. putida KT2440 growth in glucose.
From: Model of metabolism and gene expression predicts proteome allocation in Pseudomonas putida
a Pearson correlation coefficient (PCC) of and two-tailed t-test (p-values) for the difference in mean of the CPM distributions in the RNA-Seq and Ribo-Seq replicates. Strong correlation and no significant mean difference across replicates indicate there are no replicate outliers. b Correlation of RNA-Seq and Ribo-Seq CPM in the three samples. c Metabolic pathways with higher rank in the Ribo-Seq dataset against the RNA-Seq dataset (p < 0.05 as calculated by the right-tailed Mann–Whitney U-test). Translational efficiencies (TEs) are shown for reference. d Metabolic pathways with lower rank in the Ribo-Seq dataset against the RNA-Seq dataset (p < 0.05 as calculated by the left-tailed Mann–Whitney U-test).
