Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
Aquila_stLFR: diploid genome assembly basedstructural variant calling package for stLFRlinked-read
Yichen Henry LiuiD, Griffin L. Grubbs, Lu ZhangiD, Xiaodong FangiD, David L. DilliD, Arend SidowiD, Xin ZhouiD
Abstract
MotivationIdentifying structural variants (SVs) is of critical importance in health and disease, however, detecting them remains a scientific and computing challenge. Several linked-read sequencing technologies, including 10X linked-read, TELL-Seq, and single tube long fragment read (stLFR), have been recently developed as cost-effective approaches to reconstruct multi-megabase haplotypes (phase blocks) from sequence data of a single sample. These technologies provide an optimal sequencing platform to characterize SVs, though few computational algorithms can utilize them. Thus, we developed Aquila_stLFR, an approach that resolves SVs through haplotype-based assembly of stLFR linked-reads. ResultsAquila_stLFR first partitions LFRs into two haplotype-specific blocks, by taking advantage of the potential phasing ability of the linked-read itself. Each haplotype is then assembled independently, to achieve a complete diploid assembly to finally reconstruct the genome-wide SVs. We benchmarked Aquila_stLFR on a well-studied sample, NA24385, and showed Aquila_stLFR can detect medium to large size (50bp - 10kb) deletions with a high sensitivity and insertions with a high specificity. AvailabilitySource code and documentation are available on https://github.com/maiziex/Aquila_stLFR. Contactmaizie.zhou@vanderbilt.edu Supplementary informationSupplementary data are available at Bioinformatics online.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 12
- FWCI
- 1.56
- Field percentile
- top 18%
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