Evidence map›Paper›PMID 40514699›Full record

ArticleGenome biology2025

cuteFC: regenotyping structural variants through an accurate and efficient force-calling method.

Tao Jiang, Shuqi Cao, Yadong Liu, Zhendong Zhang, Bo Liu, Ruibang Luo, Guohua Wang, Yadong Wang

Erratum issuedAbstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  7. Disruption of CTCF binding by germline non-coding variants inmedRxiv : the preprint server for health sciences · 2026
    Article
  8. Review
  9. cuteHap: Haplotype-Aware Structural Variant Detection in Phased Long-Read Sequencing Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tao Jiang *Faculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
Shuqi Cao *Faculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
Yadong LiuFaculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
Zhendong ZhangFaculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
Bo LiuFaculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
Ruibang LuoDepartment of Computer Science, The University of Hong Kong, Hong Kong, 999077, China.
Guohua WangFaculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China. ghwang@hit.edu.cn.
Yadong WangFaculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China. ydwang@hit.edu.cn.

Funding

China Postdoctoral Science Foundation 2022M720965Heilongjiang Postdoctoral Science Foundation LBH-Z22174National Key Research and Development Program of China 2017YFC0907503National Key Research and Development Program of China 2022YFF1202101National Key Research and Development Program of China 2024YFC3406303National Natural Science Foundation of China 62331012National Natural Science Foundation of China 62472120
6 · The paper itself

Abstract

Long-read sequencing technologies have great potential for the comprehensive discovery of structural variations (SVs). However, accurate genotype assignment for SVs remains challenging due to unavoidable sequencing errors, limited coverage, and the complexity of SVs. Herein, we propose cuteFC, which employs self-adaptive clustering along with a multiallele-aware clustering to achieve accurate SV regenotyping through a force-calling approach. cuteFC also applies a Genome Position Scanner algorithm to improve its application efficiency. Benchmarking evaluations demonstrate that cuteFC outperforms state-of-the-art methods with 2-5% higher F1 scores and constructs a higher-quality genomic atlas with minimal computational resources. cuteFC is available at https://github.com/Meltpinkg/cuteFC and https://zenodo.org/records/14671406 .

Indexed as

Genomic Structural VariationSoftwareAlgorithmsGenomicsHigh-Throughput Nucleotide SequencingHumansForce callingLarge-scale population studiesLong-read sequencingStructural variations

Identifiers

PMID40514699
PMCPMC12164092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.