Comparative assessment of long-read error correction software applied to Nanopore RNA-sequencing data

Link to Pubmed [PMID] – 31232449

Brief. Bioinformatics 2019 Jun;

Nanopore long-read sequencing technology offers promising alternatives to high-throughput short read sequencing, especially in the context of RNA-sequencing. However this technology is currently hindered by high error rates in the output data that affect analyses such as the identification of isoforms, exon boundaries, open reading frames and creation of gene catalogues. Due to the novelty of such data, computational methods are still actively being developed and options for the error correction of Nanopore RNA-sequencing long reads remain limited.