Parameter values used in the simulation pipeline.

The training dataset n9k-train was generated using all 1440 parameter combinations for the insert size distribution with mean = 270 & sd = 50 and mean = 190 & sd = 75. For the “mean = 350 & sd = 75” insert size distribution, 3 replicates for the “HiSeq 2500 L150R1/2” error profile and one replicate for the “HiSeq 2500 error” profile were generated (960 parameter combinations). For the “mean = 450 & sd = 120” insert size distribution, we used all parameters combinations, but only with the “HiSeq 2500 L150R1/2” error profile (720 parameter combinations). In total, we created 4560 samples. The parameter grid was not uniformly sampled due to the resource limitations. The test dataset n9k-novel contains one simulation replicate with the “HiSeq 2500” error profile, and using one (mean = 270 & sd = 50) insert size, which resulted in 240 parameter combinations.