Bacterial samples (154, 5% of total) with a much higher aPMNLE for all proteins than the chromosomal ones alone. This indicated that the plasmid-related proteins contributed more indirect PPIs.
Figure S10. The frequency distributions of the rate of allocation of 989 plasmid-encoded genes to each of seven ranks from NMF based on presence or absence in 389 samples. The x-axes show the log10-sc
Dataset for the r values and p values for the pairwise association based on hierarchical clustering of all 7,128 non-zero genes across 3,176 bacterial samples as presence-absence data represented by t
Presence absence data for the plasmid gene matrix with each sample as a row and each gene as a column. It shows plasmid interactomes for all bacterial samples across all unique plasmid-derived genes.
