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

作者：Ka-Kit Lam, Kurt M. LaButti, Asif Khalak, David N. C. Tse · 发表于：Bioinformatics · 年份：2015 · DOI：10.1093/bioinformatics/btv280 · 被引用次数：200 · 研究领域：Genomics and Phylogenetic Studies、Molecular Biology Techniques and Applications、Advanced Proteomics Techniques and Applications

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.