TD-TSPS: A hybrid strategy method for TD detection based on two-step progressive segmentation

Tandem duplication (TD) represents a crucial type of structural variations within the human genome. When the sequencing depth is low, TD signal at each single nucleotide position becomes more indistinct. So the detection of TDs under low coverage remains a challenging task. This paper proposes a method called TD-TSPS (Two-Step Progressive Segmentation for TD detection) on whole genome sequencing data. A two-step progressive segmentation strategy is employed to divide the genome into continuous and similar bins. Additionally, it integrates split read and paired-end mapping strategies to refine TD regions. Performance tests on simulated and real datasets show that TD-TSPS achieves a good F1-score. Therefore, it can be used as an effective tool for TDs detection.

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Publication Details

Journal
SoftwareX
Published
2026-01-06
DOI
https://doi.org/10.1016/j.softx.2025.102499
Primary Topic
Genome Rearrangement Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

TD-TSPS: A hybrid strategy method for TD detection based on two-step progressive segmentation

Jinxin Dong, Hua Jiang, Ruchao Du, Yuxi Zhang et al.
SoftwareX
Genome Rearrangement Algorithms
article

TD-TSPS: A hybrid strategy method for TD detection based on two-step progressive segmentation

Jinxin Dong, Hua Jiang, Ruchao Du, Yuxi Zhang, Ranran Sun
article en

Abstract

Tandem duplication (TD) represents a crucial type of structural variations within the human genome. When the sequencing depth is low, TD signal at each single nucleotide position becomes more indistinct. So the detection of TDs under low coverage remains a challenging task. This paper proposes a method called TD-TSPS (Two-Step Progressive Segmentation for TD detection) on whole genome sequencing data. A two-step progressive segmentation strategy is employed to divide the genome into continuous and similar bins. Additionally, it integrates split read and paired-end mapping strategies to refine TD regions. Performance tests on simulated and real datasets show that TD-TSPS achieves a good F1-score. Therefore, it can be used as an effective tool for TDs detection.

SoftwareXVol. 33
Liaocheng University (CN)
Openalex Percentile: Top 95%
Genome Rearrangement Algorithms
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TD-TSPS: A hybrid strategy method for TD detection based on two-step progressive segmentation — Jinxin Dong, Hua Jiang, et al. · SoftwareX (2026) | TGRS Research Map | TGRS