ArticleBioinformatics advances2026
m6AnetAnalyzer: an R toolkit for post-processing of m6A sites detected by m6Anet.
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Long-read transcriptomic profiling of a glioma cell line following m6A regulator perturbations.Biochemistry and biophysics reports · 2026Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
m6AnetAnalyzer is an R package that streamlines post-processing and interpretation of site-level m6A predictions from m6Anet. It summarizes m6A distributions across transcripts, genes, biotypes, and transcript regions, and enables functional annotation using user-provided BED files or built-in datasets, including RNA-binding proteins and SNPs. Condition-specific changes in m6A methylation are quantified using the log2-transformed weighted modification ratio, with statistical tests applied when appropriate to identify significant differential methylation. By integrating differential gene expression data, m6AnetAnalyzer links methylation changes with expression differences, offering biotype- and region-specific insights into how m6A localization patterns relate to transcriptional regulation.
Identifiers
What Socratic 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 Socratic graph.