Ryan Wick
Louise M Judd
Kathryn E Holt
2018-03-05
<p>This repository uses a bacterial genome to assess the read accuracy and consensus sequence accuracy for Oxford Nanopore Technologies (ONT) basecallers. Albacore v2.1.10, Guppy v0.5.1 and Scrappie raw v1.3.0 (all developed by ONT) were the best performers for read accuracy, and Chiron v0.3 produced the best assemblies. Consensus sequence accuracies reached approximately 99.75%, revealing that even the best basecallers still have systematic error. Nanopolish, used with its methylation-aware option, was able to raise consensus accuracy to about 99.9%. Most post-Nanopolish assemblies have similar accuracy, making basecaller choice relatively unimportant if Nanopolish is used.</p>
https://doi.org/10.5281/zenodo.1188469
oai:zenodo.org:1188469
eng
Zenodo
https://github.com/rrwick/Basecalling-comparison/tree/v5.1
https://doi.org/10.5281/zenodo.1043611
info:eu-repo/semantics/openAccess
GNU General Public License v2.0 only
https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Comparison of Oxford Nanopore basecalling tools
info:eu-repo/semantics/preprint