Evidence map›Paper›PMID 38747349›Full record

ArticleNucleic acids research2024

TEENA: an integrated web server for transposable element enrichment analysis in various model and non-model organisms.

Yuzhuo Li, Renzhe Lyu, Shuai Chen, Yejun Wang, Ming-An Sun

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Yuzhuo LiInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009 Jiangsu, China.
Renzhe LyuInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009 Jiangsu, China.
Shuai ChenInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009 Jiangsu, China.
Yejun WangYouth Innovation Team of Medical Bioinformatics, Shenzhen University Health Science Center, Shenzhen 518060, China.ORCID 0000-0003-4030-0027
Ming-An SunInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009 Jiangsu, China.ORCID 0000-0002-4661-3027

Funding

111 Project D18007National Natural Science Foundation of China 32270584Priority Academic Program Development of Jiangsu Higher Education Institutions
6 · The paper itself

Abstract

Transposable elements (TEs) are abundant in the genomes of various eukaryote organisms. Increasing evidence suggests that TEs can play crucial regulatory roles-usually by creating cis-elements (e.g. enhancers and promoters) bound by distinct transcription factors (TFs). TE-derived cis-elements have gained unprecedented attentions recently, and one key step toward their understanding is to identify the enriched TEs in distinct genomic intervals (e.g. a set of enhancers or TF binding sites) as candidates for further study. Nevertheless, such analysis remains challenging for researchers unfamiliar with TEs or lack strong bioinformatic skills. Here, we present TEENA (Transposable Element ENrichment Analyzer) to streamline TE enrichment analysis in various organisms. It implements an optimized pipeline, hosts the genome/gene/TE annotations of almost one hundred species, and provides multiple parameters to enable its flexibility. Taking genomic interval data as the only user-supplied file, it can automatically retrieve the corresponding annotations and finish a routine analysis in a couple minutes. Multiple case studies demonstrate that it can produce highly reliable results matching previous knowledge. TEENA can be freely accessed at: https://sun-lab.yzu.edu.cn/TEENA. Due to its easy-to-use design, we expect it to facilitate the studies of the regulatory function of TEs in various model and non-model organisms.

Indexed as

DNA Transposable ElementsInternetSoftwareAnimalsGenomicsHumansMolecular Sequence AnnotationTranscription FactorsDNA Transposable ElementsTranscription Factors

Identifiers

PMID38747349
PMCPMC11223789

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.