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Fig. 9 | Genome Biology

Fig. 9

From: ReSeq simulates realistic Illumina high-throughput sequencing data

Fig. 9

Overview of benchmarking results. The scoring is based on absolute distances, mean quotients and correlation (see the “Methods” section). a Simulations of datasets from their own profiles: a Ec-Hi2000-TruSeq. b Ec-Hi2500-TruSeq. c Ec-Hi2500-TruSeq-asm. d Ec-Hi4000-Nextera. e Bc-Hi4000-Nextera. f Rs-Hi4000-Nextera. g At-HiX-TruSeq. h Mm-HiX-Unknown. i Hs-HiX-TruSeq. j Hs-Nova-TruSeq. k Ec-Mi-TruSeq. l At-BGI. b Simulations of datasets from profiles created on another species. The pairings are given in the following notation: “simulated dataset ← training dataset”: (M) Ec-Hi4000-Nextera ← Rs-Hi4000-Nextera (N) Bc-Hi4000-Nextera ← Ec-Hi4000-Nextera (O) Rs-Hi4000-Nextera ← Ec-Hi4000-Nextera (P) At-HiX-TruSeq ← Mm-HiX-Unknown (Q) Mm-HiX-Unknown ← Hs-HiX-TruSeq (R) Hs-HiX-TruSeq ← Mm-HiX-Unknown

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