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 1
Identified leaders in the Sequin R2-55-3 study are shown in red.
There are visually obvious internal distortions in the mainstream body, black, due to factors such as in-silico chimeric reads and mis-segmented increased pore dwell times. Identification and removal of very localized errors at the individual k-mer group level is not straight forward because of the high level of information entropy in the signal, see zoomed black section. Ideally there is a squiggle step-event to base-called ratio of 1 between a picoamperage level and a k-mer grouping of nucleotides passing through the nanopore.