Evidence map›Paper›PMID 31056858›Full record

ArticleMolecular ecology resources2019

DeviaTE: Assembly-free analysis and visualization of mobile genetic element composition.

Lukas Weilguny, Robert Kofler

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
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

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. The ongoing invasion of the endogenous retrovirusbioRxiv : the preprint server for biology · 2025
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  8. Review
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  12. Experimentally evolvingGenome research · 2024
    Article
  13. Genomes of historical specimens reveal multiple invasions of LTR retrotransposons inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Lukas WeilgunyInstitut für Populationsgenetik, Vetmeduni Vienna, Wien, Austria.ORCID https://orcid.org/0000-0001-6459-0431
Robert KoflerInstitut für Populationsgenetik, Vetmeduni Vienna, Wien, Austria.

Funding

Austrian Science Fund P29016Austrian Science Fund P30036Austrian Science Fund FWF P 29016Austrian Science Fund FWF P 30036
6 · The paper itself

Abstract

Transposable elements (TEs) are selfish DNA sequences that multiply within host genomes. They are present in most species investigated so far at varying degrees of abundance and sequence diversity. The TE composition may not only vary between but also within species and could have important biological implications. Variation in prevalence among populations may for example indicate a recent TE invasion, whereas sequence variation could indicate the presence of hyperactive or inactive forms. Gaining unbiased estimates of TE composition is thus vital for understanding the evolutionary dynamics of transposons. To this end, we developed DeviaTE, a tool to analyse and visualize TE abundance using Illumina or Sanger sequencing reads. Our tool requires sequencing reads of one or more samples (tissue, individual or population) and consensus sequences of TEs. It generates a table and a visual representation of TE composition. This allows for an intuitive assessment of coverage, sequence divergence, segregating SNPs and indels, as well as the presence of internal and terminal deletions. By contrasting the coverage between TEs and single copy genes, DeviaTE derives unbiased estimates of TE abundance. We show that naive approaches, which do not consider regions spanned by internal deletions, may substantially underestimate TE abundance. Using published data we demonstrate that DeviaTE can be used to study the TE composition within samples, identify clinal variation in TEs, compare TE diversity among species, and monitor TE invasions. Finally we present careful validations with publicly available and simulated data. DeviaTE is implemented in Python and distributed under the GPLv3 (https://github.com/W-L/deviaTE).

Indexed as

Interspersed Repetitive SequencesComputational BiologySequence Analysis, DNASoftwareassembly freedata visualizationdivergencemobile genetic elementpythontransposon

Identifiers

PMID31056858
PMCPMC6791034
OpenAlexW2944377614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.