Figure 2

Correlation analysis from assemblies. Hierarchical clustering given by the Spearman correlation matrix of the viral-bacterial (left) and the viral (right) assemblies (A). The gradient indicates the strength and direction of the correlations. Blue squares represent significant negative correlations and red squares positive correlations (P value ≤ 0.05). Green clusters are based on accurate short-length and low-assembled contigs while purple clusters are based on highly-assembled long-chimeric contigs. Ctgs: number of contigs, ChCtgs: percentage of chimeric contigs, ChCtgs.V.B: percentage of viral-bacterial chimeric contigs, GR: genomes recovered, IM: median of percentage of contig identity against its original genome, LC: Largest contig, N50, RA: percentage of reads assembled, ROG: percentage of reads assembled on their original genomes, RVB: percentage of reads within a viral-bacterial hit. Principal Component Analysis for the different assemblies in both metagenomes (B): The two principal components that better explain variation between assemblies are shown for the viral-bacterial (left) and the viral (right) assemblies. The length of the red vectors represents the effect of each component on the stats. The distance between them indicates their correlation. Circles represent two clusters formed due to the close correlations in the matrices in panel A. C: Celera, M: Minimo, N: Newbler, Optimal: optimal assembly.