ArticleBioinformatics advances2021
Aquila_stLFR: diploid genome assembly based structural variant calling package for stLFR linked-reads.
Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Enhancing variant detection in complex genomes: leveraging linked reads for robust SNP, Indel, and structural variant analysis.Research square · 2026Article
- A little longer, a lot better: simulation-guided exploration of extended-length single-end barcoded reads for structural variant detection.Bioinformatics advances · 2026Article
- The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024Review
- AsmMix: an efficient haplotype-resolved hybridFrontiers in genetics · 2024Article
- BLR: a flexible pipeline for haplotype analysis of multiple linked-read technologies.Nucleic acids research · 2023Article
- MTG-Link: leveraging barcode information from linked-reads to assemble specific loci.BMC bioinformatics · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivation: Identifying structural variants (SVs) is critical in health and disease, however, detecting them remains a challenge. Several linked-read sequencing technologies, including 10X Genomics, 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. Results: Aquila_stLFR first partitions long fragment reads into two haplotype-specific blocks with the assistance of the high-quality reference genome, 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 deletions (50 bp-10 kb) with high sensitivity and medium-size insertions (50 bp-1 kb) with high specificity. Availability and implementation: Source code and documentation are available on https://github.com/maiziex/Aquila_stLFR. Supplementary information: Supplementary data are available at
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Registered trials
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