Evidence map›Paper›PMID 40169380›Full record

ArticleG3 (Bethesda, Md.)2025

TeloSearchLR: an algorithm to detect novel telomere repeat motifs using long sequencing reads.

George Chung, Fabio Piano, Kristin C Gunsalus

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

George ChungDepartment of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0002-7532-5526
Fabio PianoDepartment of Biology, New York University, New York, NY 10003, USA.
Kristin C GunsalusDepartment of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-9769-4624

Funding

Genomic mechanisms of asexual reproductionR21AG073830 · NIA · NEW YORK UNIVERSITY · PI GUNSALUS, KRISTIN C · 2021 to 2022
$436k
New York University Abu DhabiNIA NIH HHS R21 AG073830NIH HHS R21AG073830Wellcome Trust
6 · The paper itself

Abstract

Telomeres are eukaryotic chromosome end structures that guard against sequence loss and aberrant chromosome fusions. Telomeric repeat motifs, the minimal repeating unit of a telomere, vary from species to species, with some evolutionary clades experiencing a rapid sequence divergence. To explore the full scope of this evolutionary divergence, many bioinformatic tools have been developed to infer novel telomeric repeat motifs using repetitive sequence search on short sequencing reads. However, novel telomeric motifs remain unidentified in up to half of the sequencing libraries assayed with these tools. A possible reason may be that short reads, derived from extensively sheared DNA, preserve little to no positional context of the repetitive sequences assayed. On the other hand, if a sequencing read is sufficiently long, telomeric sequences must appear at either end rather than in the middle. The TeloSearchLR algorithm relies on this to help identify novel telomeric repeat motifs on long reads, in many cases where short-read search tools have failed. In addition, we demonstrate that TeloSearchLR can reveal unusually long telomeric motifs not maintained by telomerase, and it can also be used to anchor terminal scaffolds in new genome assemblies.

Indexed as

AlgorithmsNucleotide MotifsRepetitive Sequences, Nucleic AcidTelomereComputational BiologyHumansSequence Analysis, DNAALTgenome assemblylong-read sequencingnovel telomere detectiontelomeretelomeric repeat motif (TRM)

Identifiers

PMID40169380
PMCPMC12134996

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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.