Fig. 1. Overview of the DAS Tool algorithm.

Step 1: The input of the DAS Tool comprises scaffolds of one assembly (grey lines) and a variable number of bin sets from different binning predictions (same-coloured rounded rectangles). Step 2: Single-copy genes (blue shapes) on scaffolds are predicted and scores (blue and green boxes) are assigned to bins. Step 3: Aggregation of redundant candidate bin set from all binning predictions. Step 4: Iterative selection of high-scoring bins and updating of scores of remaining partial candidate bins. The output comprises non-redundant set of high-scoring bins from different input predictions.