Evidence map›Paper›PMID 39891350›Full record

ArticleBioinformatics (Oxford, England)2025

tidk: a toolkit to rapidly identify telomeric repeats from genomic datasets.

Max R Brown, Pablo Manuel Gonzalez de La Rosa, Mark Blaxter

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

  1. Article
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  3. A highly contiguous genome assembly of Cyclamen persicum to accelerate functional genomics and breeding.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  11. First Genome Assembly of the Critically Endangered Arabian Leopard (International journal of molecular sciences · 2026
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  16. Assembly of a high-quality reference genome for the rat tapewormbioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

41 more citing papers are in PubMed but not listed here.

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.

Max R BrownSchool of Life Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, United Kingdom.ORCID 0000-0003-2561-516X
Pablo Manuel Gonzalez de La RosaTree of Life, Wellcome Sanger Institute, Hinxton, CB10 1RQ, United Kingdom.
Mark BlaxterTree of Life, Wellcome Sanger Institute, Hinxton, CB10 1RQ, United Kingdom.

Funding

Wellcome TrustWellcome Trust 206194
6 · The paper itself

Abstract

summary"tidk" (short for telomere identification toolkit) uses a simple, fast algorithm to scan long DNA reads for the presence of short tandemly repeated DNA in runs, and to aggregate them based on canonical DNA string representation. These are telomeric repeat candidates. Our algorithm is shown to be accurate in genomes for which the telomeric repeat unit is known and is tested across a wide variety of newly assembled genomes to uncover new telomeric repeat units. Tools are provided to identify telomeric repeats de novo, scan genomes for known telomeric repeats, and to visualize telomeric repeats on the assembly. "tidk" is implemented in Rust and is available as a command line tool which can be compiled using the Rust toolchain or downloaded as a binary from bioconda. AVAILABILITY AND IMPLEMENTATION: The "tidk" Rust crate is freely available under the MIT license (https://crates.io/crates/tidk), and the source code is available at https://github.com/tolkit/telomeric-identifier.

Indexed as

GenomicsRepetitive Sequences, Nucleic AcidSequence Analysis, DNASoftwareTelomereAlgorithmsHumans

Identifiers

PMID39891350
PMCPMC11814493

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.