ReMILO: reference assisted misassembly detection algorithm using short and long reads
ReMILO: reference assisted misassembly detection algorithm using short and long reads
复制标题
ReMILO:使用短读和长读的参考辅助错误组装检测算法
DOI:
10.1093/bioinformatics/btx524
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发表时间:
2018-01-01
期刊:
影响因子:
5.8
通讯作者:
Lan, Lingxiao
中科院分区:
文献类型:
--
作者:
Bao, Ergude;Song, Changjin;Lan, Lingxiao
Motivation
Contigs assembled from the second generation sequencing short reads may contain misassemblies, and thus complicate downstream analysis or even lead to incorrect analysis results. Fortunately, with more and more sequenced species available, it becomes possible to use the reference genome of a closely related species to detect misassemblies. In addition, long reads of the third generation sequencing technology have been more and more widely used, and can also help detect misassemblies.
Results
Here, we introduce ReMILO, a reference assisted misassembly detection algorithm that uses both short reads and PacBio SMRT long reads. ReMILO aligns the initial short reads to both the contigs and reference genome, and then constructs a novel data structure called red-black multipositional de Bruijn graph to detect misassemblies. In addition, ReMILO also aligns the contigs to long reads and find their differences from the long reads to detect more misassemblies. In our performance test on short read assemblies of human chromosome 14 data, ReMILO can detect 41.8-77.9% extensive misassemblies and 33.6-54.5% local misassemblies. On hybrid short and long read assemblies of S.pastorianus data, ReMILO can also detect 60.6-70.9% extensive misassemblies and 28.6-54.0% local misassemblies.
Availability and implementation
The ReMILO software can be downloaded for free under Artistic License 2.0 from this site: https://github.com/songc001/remilo.
Contact
baoe@bjtu.edu.cn.
Supplementary information
Supplementary data are available at Bioinformatics online.