Evidence map›Paper›PMID 30453969›Full record

ArticleBMC medical genomics2018

MiteFinderII: a novel tool to identify miniature inverted-repeat transposable elements hidden in eukaryotic genomes.

Jialu Hu, Yan Zheng, Xuequn Shang

Abstract read
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Article in BMC medical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

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0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
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  5. Conservative evolution of genetic and genomic features inbioRxiv : the preprint server for biology · 2025
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  14. Mitochondrial genome sequencing and analysis of the invasivebioRxiv : the preprint server for biology · 2023
    Article
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  16. Article
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  18. Article
  19. Review
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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

3 authors.

Jialu HuSchool of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China.
Yan ZhengSchool of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China.
Xuequn ShangSchool of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China. shang@nwpu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiniature inverted-repeat transposable element (MITE) is a type of class II non-autonomous transposable element playing a crucial role in the process of evolution in biology. There is an urgent need to develop bioinformatics tools to effectively identify MITEs on a whole genome-wide scale. However, most of currently existing tools suffer from low ability to deal with large eukaryotic genomes.

methodsIn this paper, we proposed a novel tool MiteFinderII, which was adapted from our previous algorithm MiteFinder, to efficiently detect MITEs from genomics sequences. It has six major steps: (1) build K-mer Index and search for inverted repeats; (2) filtration of inverted repeats with low complexity; (3) merger of inverted repeats; (4) filtration of candidates with low score; (5) selection of final MITE sequences; (6) selection of representative sequences.

resultsTo test the performance, MiteFinderII and three other existing algorithms were applied to identify MITEs on the whole genome of oryza sativa. Results suggest that MiteFinderII outperforms existing popular tools in terms of both specificity and recall. Additionally, it is much faster and more memory-efficient than other tools in the detection.

conclusionMiteFinderII is an accurate and effective tool to detect MITEs hidden in eukaryotic genomes. The source code is freely accessible at the website: https://github.com/screamer/miteFinder .

Indexed as

User-Computer InterfaceAlgorithmsDNA Transposable ElementsEukaryotaGenome, PlantOryzaDNA Transposable ElementsGenomic analysisK-mer indexTarget site duplicationTerminal inverted repeatTransposable element

Identifiers

PMID30453969
PMCPMC6245586

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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.