Evidence map›Paper›PMID 41616024›Full record

ArticlePLoS computational biology2026

TEvarSim: A genome simulator for transposable element (TE) variants.

Jian Miao, Dawei Li

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jian MiaoDepartment of Immunology and Molecular Microbiology, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, Texas, United States of America.
Dawei LiDepartment of Immunology and Molecular Microbiology, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, Texas, United States of America.ORCID https://orcid.org/0000-0002-9214-4487

Funding

Endogenous retrovirus analyses in myalgic encephalomyelitisR21AI159710 · NIAID · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI LI, DAWEI · 2021 to 2022
$461k
Endogenous Retroviruses and Alcohol Use DisorderR21AA032585 · NIAAA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI Dawei Li · 2025 to 2026
$407k
Comprehensive analyses of endogenous retroviruses with severe chronic fatigue syndromeR03AI147084 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI LI, DAWEI · 2019 to 2020
$152k
NIAAA NIH HHS R21 AA032585NIAID NIH HHS R03 AI147084NIAID NIH HHS R21 AI159710
6 · The paper itself

Abstract

Transposable element (TE) variants, the presence or absence of TE sequences such as LINE-1, Alu, SVA, and endogenous retroviruses, are a major source of genomic diversity and play critical roles in human health, evolution, and disease. As interest in TE variants grows, developing related methods and tools for detection has become increasingly important. However, rigorous benchmarking of TE variant detection methods remains limited due to the lack of accurate and scalable TE variant simulation platforms and the absence of reliable ground truth data. Here, we developed TEvarSim, a novel TE variant simulator that generates TE-containing genomic data in multiple formats, including genomes, short- and long-read sequencing data, and VCF files. TEvarSim supports both random and real-world TE insertions and deletions, including variants derived from pangenome graphs. It can rapidly simulate hundreds to thousands of synthetic chromosomes or genomes and model natural variation at the haplotype, individual, and population levels, making it well suited for large-scale studies. In addition, TEvarSim can directly compare simulated VCF files with TEs reported by TE detection tools, streamlining the benchmarking of TE genotyping methods. TEvarSim provides an all-in-one toolkit for simulating, evaluating, and improving TE variant detection, advancing our ability to accurately study TEs in health and disease in various species.

Indexed as

DNA Transposable ElementsGenetic VariationGenomicsSoftwareComputational BiologyComputer SimulationHumansDNA Transposable Elements

Identifiers

PMID41616024
PMCPMC12875575

What OpenQuestion holds

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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.