ReviewBriefings in bioinformatics2021
How bioinformatics resources work with G4 RNAs.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026Article
- G4mer: An RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data.Nature communications · 2025Article
- Quadrupia provides a comprehensive catalog of G-quadruplexes across genomes from the tree of life.Genome research · 2025Article
- Article
- Evaluating the Performance of Peak Calling Algorithms Available for Intracellular G-Quadruplex Sequencing.International journal of molecular sciences · 2025Article
- 5'-UTR G-Quadruplex-Mediated Translation Regulation in Eukaryotes: Current Understanding and Methodological Challenges.International journal of molecular sciences · 2025Review
- Bioactive nutraceuticals as G4 stabilizers: potential cancer prevention and therapy-a critical review.Naunyn-Schmiedeberg's archives of pharmacology · 2024Review
- WebTetrado: a webserver to explore quadruplexes in nucleic acid 3D structures.Nucleic acids research · 2023Article
- ONQUADRO: a database of experimentally determined quadruplex structures.Nucleic acids research · 2022Article
- DeepG4: A deep learning approach to predict cell-type specific active G-quadruplex regions.PLoS computational biology · 2021Article
- Potential G-quadruplexes and i-Motifs in the SARS-CoV-2.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quadruplexes (G4s) are of interest, which increases with the number of identified G4 structures and knowledge about their biomedical potential. These unique motifs form in many organisms, including humans, where their appearance correlates with various diseases. Scientists store and analyze quadruplexes using recently developed bioinformatic tools-many of them focused on DNA structures. With an expanding collection of G4 RNAs, we check how existing tools deal with them. We review all available bioinformatics resources dedicated to quadruplexes and examine their usefulness in G4 RNA analysis. We distinguish the following subsets of resources: databases, tools to predict putative quadruplex sequences, tools to predict secondary structure with quadruplexes and tools to analyze and visualize quadruplex structures. We share the results obtained from processing specially created RNA datasets with these tools. Contact: mszachniuk@cs.put.poznan.pl Supplementary information: Supplementary data are available at Briefings in Bioinformatics online.
Indexed as
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.