Evidence map›Paper›PMID 40027646›Full record

ArticlebioRxiv : the preprint server for biology2025

ScatTR: Estimating the Size of Long Tandem Repeat Expansions from Short-Reads.

Rashid Al-Abri, Gamze Gürsoy

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

2 authors.

Rashid Al-AbriDepartment of Computer Science, Columbia University, New York, USA.
Gamze GürsoyDepartment of Biomedical Informatics, Columbia University, New York, USA.

Funding

Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical DataR35GM147004 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2022 to 2025
$1.8M
Delineating the functional impact of recurrent repeat expansions in ALS using integrative multiomic analysisR03OD036491 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2023 to 2023
$324k
NIGMS NIH HHS R35 GM147004NIH HHS R03 OD036491
6 · The paper itself

Abstract

Tandem repeats (TRs) are sequences of DNA where two or more base pairs are repeated back-to-back at specific locations in the genome. The expansions of TRs are implicated in over 50 conditions, including Friedreich's ataxia, autism, and cancer. However, accurately measuring the copy number of TRs is challenging, especially when their expansions are larger than the fragment sizes used in standard short-read genome sequencing. Here we introduce ScatTR, a novel computational method that leverages a maximum likelihood framework to estimate the copy number of large TR expansions from short-read sequencing data. ScatTR calculates the likelihood of different alignments between sequencing reads and reference sequences that represent various TR lengths and employs a Monte Carlo technique to find the best match. In simulated data, ScatTR outperforms state-of-the-art methods, particularly for TRs with longer motifs and those with lengths that greatly exceed typical sequencing fragment sizes. When applied to data from the 1000 Genomes Project, ScatTR detected potential large TR expansions that other methods missed, highlighting its ability to better identify genome-wide characterization of TR variation. ScatTR can be accessed via: https://github.com/g2lab/scattr.

Indexed as

monte carloRECOMB25repeat expansionsimulated annealingtandem repeat

Identifiers

PMID40027646
PMCPMC11870476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.