We introduce FinisherSC, a repeat-aware and scalable tool for upgrading de novo assembly using long reads. Experiments with real data suggest that FinisherSC can provide longer and higher quality contigs than existing tools while maintaining high concordance.The tool and data are available and will be maintained at http://kakitone.github.io/finishingTool/: [email protected] data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: [email protected].
Journal: Bioinformatics
DOI: 10.1093/bioinformatics/btv280
Year: 2015