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Fig. 2 | BMC Bioinformatics

Fig. 2

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

Fig. 2

Workflow of METAMVGL. In step 1, METAMVGL constructs the assembly graph and PE graph by aligning paired-end reads to the contigs. The contigs are initially labeled by the existing binning tools (vertices in orange and blue). In step 2, the ambiguous labels are removed if their neighbors are labeled as belonging to the other binning groups in the assembly graph. METAMVGL applies the auto-weighted multi-view graph-based algorithm to optimize the weights of the two graphs and predict binning groups for the unlabeled contigs. Finally, it performs the second round ambiguous labels removal on the combined graph

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BMC Bioinformatics

ISSN: 1471-2105

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