Open AccessFinisherSC: a repeat-aware tool for upgrading de novo assembly using long reads
Author(s) -
Ka-Kit Lam,
Kurt LaButti,
Asif Khalak,
David Tse
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv280
Subject(s) - contig , computer science , scalability , sequence assembly , concordance , software , data mining , computational biology , software engineering , programming language , bioinformatics , database , biology , genetics , gene expression , transcriptome , genome , gene
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.
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