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 2
Flow chart representing the process to generate a refined squiggle consensus by applying an ensemble-wide voting scheme to DBA, SSG and MM DTWA generated consensus signals.
Each cleaning stage reduces the number of streams. While the consensus is based on DTWA processing of cleaned data streams, the voting scheme can be based on the agreement with additional streams not involved in generating the consensus experimentally available. Gold standard information is used as part of the final comparison analysis and plays no role in squiggle cleaning, consensus generation or the voting procedure.