Unlabelled: 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.
Availability And Implementation: The tool and data are available and will be maintained at http://kakitone.github.io/finishingTool/
Contact: : dntse@stanford.edu
Supplementary Information: Supplementary data are available at Bioinformatics online.
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| http://dx.doi.org/10.1093/bioinformatics/btv280 | DOI Listing |
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FinisherSC: a repeat-aware tool for upgrading de novo assembly using long reads.
Bioinformatics
October 2015
Department of Electrical Engineering and Computer Sciences, UC Berkeley, Department of Electrical Engineering, Stanford University, Palo Alto, CA, USA.
Unlabelled: 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.
Availability And Implementation: The tool and data are available and will be maintained at http://kakitone.
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