ArticleBMC bioinformatics2019
m6Acomet: large-scale functional prediction of individual m
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 36 citations in OpenAlex.
- A novel biclustering algorithm for mining m6A co-methylation patterns based on beta-binomial distribution and data screening strategy.PLoS computational biology · 2026Article
- Article
- epidecodeR: a functional exploration tool for epigenetic and epitranscriptomic regulation.Briefings in bioinformatics · 2024Article
- Identification and validation of a novel prognostic model for gastric cancer based on m7G-related genes.Translational cancer research · 2023Article
- Review
- 4acCPred: Weakly supervised prediction ofMolecular therapy. Nucleic acids · 2022Article
- The prognostic index of mScientific reports · 2022Article
- Predicting genes associated with RNA methylation pathways using machine learning.Communications biology · 2022Article
- MTDeepM6A-2S: A two-stage multi-task deep learning method for predicting RNA N6-methyladenosine sites ofFrontiers in microbiology · 2022Article
- Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas.Frontiers in neurology · 2022Article
- Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions.BioMed research international · 2022Article
- Epigenetics: Roles and therapeutic implications of non-coding RNA modifications in human cancers.Molecular therapy. Nucleic acids · 2021Review
- RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.Nucleic acids research · 2021Article
- m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.Nucleic acids research · 2021Article
- REW-ISA V2: A Biclustering Method Fusing Homologous Information for Analyzing and Mining Epi-Transcriptome Data.Frontiers in genetics · 2021Article
- Recent advances in functional annotation and prediction of the epitranscriptome.Computational and structural biotechnology journal · 2021Review
- REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm.BMC bioinformatics · 2020Article
- Emerging role of tumor-related functional peptides encoded by lncRNA and circRNA.Molecular cancer · 2020Review
- How Do You Identify mFrontiers in genetics · 2020Review
- Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics.Computational and structural biotechnology journal · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundOver one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics.
resultsTo date, the study of epitranscriptome layer gene regulation is mostly focused on the function of mediator proteins of RNA methylation, i.e., the readers, writers and erasers. There is limited investigation of the functional relevance of individual m
conclusionsAn online web server m6Acomet was constructed to support direct query for the predicted biological functions of m
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.