Evidence map›Paper›PMID 38956036›Full record

ArticleNature communications2024

HiTE: a fast and accurate dynamic boundary adjustment approach for full-length transposable element detection and annotation.

Kang Hu, Peng Ni, Minghua Xu, You Zou, Jianye Chang, Xin Gao, Yaohang Li, Jue Ruan, Bin Hu, Jianxin Wang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  5. Genus-Wide Pan-Genome Analysis ofPlants (Basel, Switzerland) · 2026
    Article
  6. Chromosome-Scale Genome of Zoonotic EyewormAnimals : an open access journal from MDPI · 2026
    Article
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  8. Article
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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

10 authors.

Kang Hu *School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Peng Ni *School of Computer Science and Engineering, Central South University, Changsha, 410083, China.ORCID 0000-0002-0801-7574
Minghua XuSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
You ZouSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Jianye ChangShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.
Xin GaoComputer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID 0000-0002-7108-3574
Yaohang LiDepartment of Computer Science, Old Dominion University, Norfolk, VA, 23529, USA.ORCID 0000-0003-0178-1876
Jue RuanShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.ORCID 0000-0003-3713-3192
Bin HuKey Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of Education (Beijing Institute of Technology), Beijing, P. R. China. bh@bit.edu.cn.
Jianxin WangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China. jxwang@mail.csu.edu.cn.ORCID 0000-0003-1516-0480

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62332020National Natural Science Foundation of China (National Science Foundation of China) 62350004
6 · The paper itself

Abstract

Recent advancements in genome assembly have greatly improved the prospects for comprehensive annotation of Transposable Elements (TEs). However, existing methods for TE annotation using genome assemblies suffer from limited accuracy and robustness, requiring extensive manual editing. In addition, the currently available gold-standard TE databases are not comprehensive, even for extensively studied species, highlighting the critical need for an automated TE detection method to supplement existing repositories. In this study, we introduce HiTE, a fast and accurate dynamic boundary adjustment approach designed to detect full-length TEs. The experimental results demonstrate that HiTE outperforms RepeatModeler2, the state-of-the-art tool, across various species. Furthermore, HiTE has identified numerous novel transposons with well-defined structures containing protein-coding domains, some of which are directly inserted within crucial genes, leading to direct alterations in gene expression. A Nextflow version of HiTE is also available, with enhanced parallelism, reproducibility, and portability.

Indexed as

DNA Transposable ElementsMolecular Sequence AnnotationAlgorithmsAnimalsComputational BiologyDatabases, GeneticGenomeHumansReproducibility of ResultsSoftwareDNA Transposable Elements

Identifiers

PMID38956036
PMCPMC11219922

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.