Evaluating the effectiveness of ensemble voting in improving the accuracy of consensus signals produced by various DTWA algorithms from step-current signals generated during nanopore sequencing
Fig 6
Displaying the first 400 points of the unwarped gold standard and the three DTWA Enolase consensus signals provides an alternative metric combining information from Figs 3 and 4.
This approach allows a visualization of the warp-paths and the extent to which the DTWA algorithms retain the high entropy, squiggle amplitude levels characterizing the k-mer groups described in the original ensemble signals. Relative distortions in the consensus are revealed by the unevenly placed, non-vertical orientations of the dashed lines which join points in these un-warped signals identified as having equivalent warped path positions by the dtw() algorithm.