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,...

Full description

Bibliographic Details
Main Authors: Jordi Silvestre-Ryan, Ian Holmes
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Genome Biology
Online Access:https://doi.org/10.1186/s13059-020-02255-1