stLFRsv: a germline SV analysis pipeline using co-barcoded reads
Junfu GuoiD, Shi ChangiD, Xi CheniD, Ou WangiD, Ping LiuiD, Huanming YangiD, Xun XuiD, Wenwei ZhangiD, Hongmei ZhuiD
Abstract
Co-barcoded reads originated from long DNA fragment (mean length larger than 50Kbp) with barcodes, maintain both single base level accuracy and long range genomic information. We propose a pipeline stLFRsv to detect structure variation using co-barcoded reads. stLFRsv identifies abnormally large gaps between co-barcoded reads to detect potential breakpoints and reconstruct complex structure variations. The barcodes enabled co-barcoded reads phasing increases the signal to noise ratio and barcode sharing profiles are used to filter out false positives. We integrate the short reads SV caller smoove for smaller variations with stLFRsv. The integrated pipeline was evaluated on the well characterized genome HG002/NA24385 and obtained precision and recall rate of 74.2% and 22.3% for deletion on the whole genome. stLFR found some large variations not included in the benchmark set and verified by means of long reads or assembly. Our work indicates that co-barcoded reads technology has the potential to improve genome completeness.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 5
- FWCI
- 0.71
- Field percentile
- top 35%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A little longer, a lot better: simulation-guided exploration of extended-length single-end barcoded reads for structural variant detection
Can Luo, Yichen Henry Liu, … Xin Zhou·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2026
- Efficient long single molecule sequencing for cost effective and accurate sequencing, haplotyping, and de novo assembly
Ou Wang, Robert G. Chin, … Brock A. Peters·Genome ResearchPeer-reviewed·May 1, 2019
- gcSV: a unified framework for comprehensive structural variant detection
Gaoyang Li, Yadong Liu, … Yadong Wang·bioRxiv·Feb 10, 2025
- Comparison and benchmark of long-read based structural variant detection strategies
Jiadong Lin, Peng Jia, … Kai Ye·bioRxiv·Aug 9, 2022
- Comprehensive detection of structural variations in long and short reads dataset of French cattle
Maulana M. Naji, Christophe Klopp, … Mekki Boussaha·Scientific ReportsPeer-reviewed·Nov 19, 2025
- Long-read-based Human Genomic Structural Variation Detection with cuteSV
Tao Jiang, Yongzhuang Liu, … Yadong Wang·Genome biologyPeer-reviewed·Aug 3, 2020