Evidence map›Paper›PMID 30165507›Full record

ArticleBioinformatics (Oxford, England)2019

Dot2dot: accurate whole-genome tandem repeats discovery.

Loredana M Genovese, Marco M Mosca, Marco Pellegrini, Filippo Geraci

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Bioinformatics for the Structural Genomics of Poxviruses.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Finding long tandem repeats in long noisy reads.Bioinformatics (Oxford, England) · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
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

4 authors at 3 institutions in 2 countries.

Loredana M GenoveseInstitute for Informatics and Telematics, CNR, Pisa, Italy.
Marco M MoscaDepartment of Computer Science, University of Liverpool, Liverpool, UK.
Marco PellegriniInstitute for Informatics and Telematics, CNR, Pisa, Italy.
Filippo GeraciInstitute for Informatics and Telematics, CNR, Pisa, Italy.
Institute of Informatics and Telematics · ITIstituto di Fisiologia Clinica · ITUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationLarge-scale sequencing projects have confirmed the hypothesis that eukaryotic DNA is rich in repetitions whose functional role needs to be elucidated. In particular, tandem repeats (TRs) (i.e. short, almost identical sequences that lie adjacent to each other) have been associated to many cellular processes and, indeed, are also involved in several genetic disorders. The need of comprehensive lists of TRs for association studies and the absence of a computational model able to capture their variability have revived research on discovery algorithms.

resultsBuilding upon the idea that sequence similarities can be easily displayed using graphical methods, we formalized the structure that TRs induce in dot-plot matrices where a sequence is compared with itself. Leveraging on the observation that a compact representation of these matrices can be built and searched in linear time, we developed Dot2dot: an accurate algorithm fast enough to be suitable for whole-genome discovery of TRs. Experiments on five manually curated collections of TRs have shown that Dot2dot is more accurate than other established methods, and completes the analysis of the biggest known reference genome in about one day on a standard PC. AVAILABILITY AND IMPLEMENTATION: Source code and datasets are freely available upon paper acceptance at the URL: https://github.com/Gege7177/Dot2dot. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareTandem Repeat SequencesAlgorithmsEukaryotaSequence Analysis, DNA

Identifiers

PMID30165507
PMCPMC6419916
OpenAlexW2951362868

What OpenQuestion holds

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LicenceCC BY-NC
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.