ArticleGenome biology2022
DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N
Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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
52 citing papers in PubMed, 76 citations in OpenAlex.
- Advanced deep learning strategies in nanopore RNA sequencing.RNA biology · 2026Review
- ModiCal: A Targeted Calibration Workflow for Site-Specific mACS chemical biology · 2026Article
- RNA modifications and epigenetic regulation in plants.aBIOTECH · 2026Review
- The Role of NMedComm · 2026Review
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Emerging roles of non-mNature plants · 2026Review
- Review
- Systematic evaluation of computational tools for multitype RNA modification detection using nanopore direct RNA sequencing.Nature methods · 2026Article
- RMPore: a comprehensive database of single-molecule RNA modifications detected by Nanopore direct RNA sequencing.Nucleic acids research · 2026Article
- Integrative multi-omics analysis widens annotation and functional insights into long non-coding RNAs of Arabidopsis thaliana.Biology direct · 2026Article
- Nanopore sequencing and multiomics reveal predictable non-coding RNA activation in DNA methylation deficient Arabidopsis thaliana.Communications biology · 2025Article
- Advances in Detecting RNA Modifications Using Direct RNA Nanopore Sequencing.Advanced genetics (Hoboken, N.J.) · 2025Review
- DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing.Nature communications · 2025Article
- Transcriptomics in the era of long-read sequencing.Nature reviews. Genetics · 2025Review
- ModiDeC: a multi-RNA modification classifier for direct nanopore sequencing.Nucleic acids research · 2025Article
- Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species.Nature communications · 2025Article
- Arabidopsis as a model for translational research.The Plant cell · 2025Review
- The RMaP challenge of predicting RNA modifications by nanopore sequencing.Communications chemistry · 2025Article
- Synthetic biology and artificial intelligence in crop improvement.Plant communications · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Models developed using Nanopore direct RNA sequencing data from in vitro synthetic RNA with all adenosine replaced by N
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.