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FinisherSC : A repeat-aware tool for upgrading de-novo assembly using long reads

Ka-Kit Lam, Kurt LaButti, Asif Khalak, David Tse
doi: https://doi.org/10.1101/010215
Ka-Kit Lam
1Department of Electrical Engineering and Computer Sciences, UC Berkeley
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Kurt LaButti
2U.S. Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
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Asif Khalak
3Pacific Biosciences, Menlo Park, CA, USA
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David Tse
1Department of Electrical Engineering and Computer Sciences, UC Berkeley
4Department of Electrical Engineering, Stanford University
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ABSTRACT

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 The tool and data are available and will be maintained at http://kakitone.github.io/finishingTool/

Contact dntse{at}stanford.edu

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted April 04, 2015.
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FinisherSC : A repeat-aware tool for upgrading de-novo assembly using long reads
Ka-Kit Lam, Kurt LaButti, Asif Khalak, David Tse
bioRxiv 010215; doi: https://doi.org/10.1101/010215
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FinisherSC : A repeat-aware tool for upgrading de-novo assembly using long reads
Ka-Kit Lam, Kurt LaButti, Asif Khalak, David Tse
bioRxiv 010215; doi: https://doi.org/10.1101/010215

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