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As for the simulated data sets, the real data sets were assembled Evodiamine by MetaVelvet-SL, MetaVelvet,2 IDBA-UD9 with the default parameters for metagenomic assembly, Ray Meta10 with the k-mer size suggested in the Ray Meta paper, Omega11 with the overlap length suggested in the Omega's instruction and SOAPdenovo2.14 The statistics of assembly performances are summarized in Table?5. The classification model for MetaVelvet-SL was obtained by the pipeline using MetaPhlAn to infer the taxonomic profile and then generating the training data set. Table?5. Assembly results for the real human gut microbial data sets When the total scaffold lengths of two assemblies are quite different in the human gut microbial data sets, the naive use of N50 score is inadequate, because the longer total length decreases the N50 score. The generalized score N-len(x) is more appropriate for comparing scaffold integrity than the raw N50 score.2 N-len(x) is defined by N-len(x)=|Si|suchthat��j=1i|Sj|��xand��j=1i?1|Sj|selleck compound (1) where S1, S2, �� , Sn denote the list of scaffolds in descending order of length as output by an assembler. The N50 score corresponds to the N-len(x) score for x = L/2 (x is 50% of L), where L denotes the total scaffold length. The N-len(x) plots for the MH0006 data sets produced by MetaVelvet-SL, MetaVelvet, IDBA-UD, SOAPdenovo2, Ray Meta and Omega are shown in Fig.?4. MetaVelvet-SL significantly increased the scaffold integrity. For example, when x = 5,000,000, the N-len(x) score of MetaVelvet-SL Epigenetics Compound Library was 306,496, the N-len(x) score of MetaVelvet was 24,554, the N-len(x) score of IDBA-UD was 178,659, the N-len(x) score of SOAPdenovo2 was 90,861, the N-len(x) score of Ray Meta was 101,726 and the N-len(x) score of Omega was 117,010. (The N-len(x) plots for the MH0012, MH0047, SRS017227, and SRS018661 data sets are shown in Supplementary Figs S1�CS4.) As in the MetaVelvet paper, we calculated the area under the curve (AUC) of N-len(x) for 0