ArticleMobile DNA2026
Transposable elements in the era of data science EMBO course: a call for open, accessible, and collaborative TE resources.
Article in Mobile DNA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
This community letter represents a collective outcome from the EMBO Practical Course "Transposable Elements in the Era of Data Science" held at the Rosalind Franklin Institute from 12 to 16 May 2025, Didcot, United Kingdom ( https://meetings.embo.org/event/25-transposable-elements ). Written by course speakers together with an instructor representative, it reflects key discussions about the urgent need for open, accessible, and community-driven resources for transposable element (TE) research. This letter outlines key areas where collective action is imperative to accelerate our understanding of TEs and their profound impact on biological systems. In particular, the letter highlights limitations of existing databases, particularly Repbase, and calls for a new open-access platform that also supports non-model species and interoperates with large-scale genomic initiatives. It also underscores the crucial discussion on TE curation and the role of artificial intelligence (AI) in advancing TE research and advocates for a collaborative infrastructure to support the future of TE genomics. A central theme emerging from these discussions was the urgent need for enhanced open science practices, particularly concerning data sharing, tool development, and the establishment of robust, accessible community resources. To this end, we propose a set of strategic suggestions accompanied by practical actions to advance TE research. We hope this letter contributes to the community of TE researchers to discuss the latest advancements and persistent challenges in TE research in a sustainable and equitable manner.
Identifiers
What OpenQuestion holds
Registered trials
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.