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Fig. 1 | BMC Bioinformatics

Fig. 1

From: METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs

Fig. 1

Visualization of the running process of METAMVGL compared with GraphBin in the simulated data. METAMVGL connected dead end 1 and 2 to the main graph by paired-end reads, also enhanced its connectivity. We observed (1) GraphBin failed to correct the two blue labels in the central of the graph, because it could not remove them before propagation due to lack of connectivity; (2) GraphBin mislabeled all the contigs in the dead end 2, caused by a small number of wrongly labeled contigs in the dead end; (3) METAMVGL labeled all the contigs in the dead end 1 but GraphBin did not

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BMC Bioinformatics

ISSN: 1471-2105

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