Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing.

ABSTRACT: We develop a general computational approach for improving the accuracy of basecalling with Oxford Nanopore's 1D² and related sequencing protocols. Our software PoreOver ( https://github.com/jordisr/poreover ) finds the consensus of two neural networks by aligning their probability profiles, and is compatible with multiple nanopore basecallers. When applied to the recently-released Bonito basecaller, our method reduces the median sequencing error by more than half.

SUBMITTER: Silvestre-Ryan J 

PROVIDER: S-EPMC7814537 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature