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. 2019 Mar 6;47(10):e57. doi: 10.1093/nar/gkz148

Figure 1.

Figure 1.

Autometa binning workflow. Autometa separates contigs from a de novo metagenome assembly into kingdom-level bins based on sequence homology, iteratively clusters kingdom-specific (Bacterial or Archaeal) contigs, and then (optionally) classifies any remaining unclustered contigs to bins using a decision tree classifier.