Evidence map›Paper›PMID 41372941›Full record

ArticleMobile DNA2025

ColabCuraTE: an easy-to-use, web-based pipeline for the manual curation of transposable elements.

Scott L Travers, Abbas Khansa, Christopher E Ellison

Abstract read
In one paragraph

Article in Mobile DNA, 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
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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

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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

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.

Scott L TraversDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Abbas KhansaDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Christopher E EllisonDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA. chris.ellison@rutgers.edu.

Funding

Transposon strategies to escape host silencingR35GM152168 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Christopher Eugene Ellison · 2024 to 2026
$1.4M
NIGMS NIH HHS R35 GM152168NIGMS NIH HHS R35GM152168
6 · The paper itself

Abstract

backgroundTransposable elements (TEs) are widespread mobile DNA sequences that shape genome structure, function, and evolution. Although automated tools exist for the de novo identification and classification of TEs, their output often requires manual refinement to generate accurate consensus sequences for individual TE families. This curation process is essential but remains time-consuming and inaccessible to many researchers, particularly those without bioinformatics expertise or access to sufficient computing resources. To address this gap, we developed ColabCuraTE, a web-based, user-friendly pipeline implemented in Google Colaboratory that enables manual curation of TEs without the need for local software installation or advanced programming skills.

resultsColabCuraTE includes built-in visualization tools and guides users through a streamlined workflow-from TE copy identification, alignment extension, and refinement, to consensus sequence generation and TE family analysis. We validated the pipeline using both megabase-sized and gigabase-sized genomes and found that it reliably improves the quality and completeness of TE consensus sequences compared to outputs from automated de novo TE annotation tools.

conclusionsColabCuraTE enables easier participation in TE curation by removing infrastructure and expertise requirements that typically limit participation in genomic research. It excels at the targeted curation of individual TE families but can also be used for large-scale curation efforts when deployed via a course or workshop. Its accessibility, intuitive interface, and compatibility with existing tools make it a valuable resource for both researchers and educators. ColabCuraTE enables broader participation in TE annotation efforts and supports the integration of undergraduates in genomics research.

Indexed as

Bioinformatics educationConsensus sequenceGenome annotationMultiple sequence alignmentTransposable elements

Identifiers

PMID41372941
PMCPMC12801901

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.