Fig. 2.

Benchmarking the running time and accuracy ags.sh against MicrobeCensus. a Plot comparing the running time of ags.sh with MicrobeCensus. We compared the wall-clock runtime between both tools using 4, 8, and 16 threads, in five TARA Oceans metagenomes subsampled to two million paired-end reads. We also compared the ags.sh runtime using previously predicted Open Reading Frames (ORFs). When the ORF prediction procedure was included, ags.sh was 11 times faster than MicrobeCensus using 16 threads. b Scatter plots comparing the accuracy of the AGS computed by ags.sh (upper panel) and MicrobeCensus (lower panel) with the reference AGS in the metagenomes of the Marine dataset-2. c Scatter plot comparing the AGS computed by ags.sh and MicrobeCensus in 50 TARA Oceans metagenomes, randomly subsampled to two million reads. The black line shown in the scatter plots from b) and c) represents the one-to-one relationship. The absolute percentage error was computed as 100 x |(AGS_ref - AGS_est)/AGS_ref|, where AGS_est and AGS_ref are the estimated and reference AGS, respectively. MdAPE acronym stands for Median Absolute Percentage Error