Evidence map›Paper›PMID 38862430›Full record

ArticleGenomics, proteomics & bioinformatics2024

Pindel-TD: A Tandem Duplication Detector Based on A Pattern Growth Approach.

Xiaofei Yang, Gaoyang Zheng, Peng Jia, Songbo Wang, Kai Ye

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Xiaofei YangSchool of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-5118-7755
Gaoyang ZhengCenter for Mathematical Medical, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-0854-5481
Peng JiaMOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-3429-919X
Songbo WangMOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0003-4482-8128
Kai YeCenter for Mathematical Medical, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-2851-6741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tandem duplication (TD) is a major type of structural variations (SVs) that plays an important role in novel gene formation and human diseases. However, TDs are often missed or incorrectly classified as insertions by most modern SV detection methods due to the lack of specialized operation on TD-related mutational signals. Herein, we developed a TD detection module for the Pindel tool, referred to as Pindel-TD, based on a TD-specific pattern growth approach. Pindel-TD is capable of detecting TDs with a wide size range at single nucleotide resolution. Using simulated and real read data from HG002, we demonstrated that Pindel-TD outperforms other leading methods in terms of precision, recall, F1-score, and robustness. Furthermore, by applying Pindel-TD to data generated from the K562 cancer cell line, we identified a TD located at the seventh exon of SAGE1, providing an explanation for its high expression. Pindel-TD is available for non-commercial use at https://github.com/xjtu-omics/pindel.

Indexed as

SoftwareAlgorithmsGene DuplicationHumansK562 CellsTandem Repeat SequencesPattern growthSAGE1Short-read sequencingStructural variationTandem duplication

Identifiers

PMID38862430
PMCPMC11425056

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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.