Evidence map›Paper›PMID 33815469›Full record

ArticleFrontiers in genetics2021

stLFRsv: A Germline Structural Variant Analysis Pipeline Using Co-barcoded Reads.

Junfu Guo, Chang Shi, Xi Chen, Ou Wang, Ping Liu, Huanming Yang, Xun Xu, Wenwei Zhang, Hongmei Zhu

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Junfu GuoBGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Chang ShiBGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Xi ChenBGI-Tianjin, BGI-Shenzhen, Tianjin, China.
Ou WangBGI-Shenzhen, Shenzhen, China.
Ping LiuMGI, BGI-Shenzhen, Shenzhen, China.
Huanming YangGuangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen, China.
Xun XuGuangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, China.
Wenwei ZhangBGI-Shenzhen, Shenzhen, China.
Hongmei ZhuBGI-Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-barcoded reads originating from long DNA fragments (mean length >30 kbp) maintain both single base level accuracy and long-range genomic information. We propose a pipeline, stLFRsv, to detect structural variation using co-barcoded reads. stLFRsv identifies abnormal large gaps between co-barcoded reads to detect potential breakpoints and reconstruct complex structural variants (SVs). Haplotype phasing by co-barcoded reads increases the signal to noise ratio, and barcode sharing profiles are used to filter out false positives. We integrate the short read SV caller smoove for smaller variants with stLFRsv. The integrated pipeline was evaluated on the well-characterized genome HG002/NA24385, and 74.5% precision and a 22.4% recall rate were obtained for deletions. stLFRsv revealed some large variants not included in the benchmark set that were verified by long reads or assembly. For the HG001/NA12878 genome, stLFRsv also achieved the best performance for both resource usage and the detection of large variants. Our work indicates that co-barcoded read technology has the potential to improve genome completeness.

Indexed as

breakpointsco-barcoded readscomplex variants: human genomestructural variation

Identifiers

PMID33815469
PMCPMC8012683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.