ArticleBMC bioinformatics2020
m6Acorr: an online tool for the correction and comparison of m
Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Epitranscriptomic analysis reveals clinical and molecular signatures in glioblastoma.Acta neuropathologica communications · 2025Article
- A combined deep learning framework for mammalian m6A site prediction.Cell genomics · 2024Article
- RNA methylation in plants: An overview.Frontiers in plant science · 2023Review
- RNADSN: Transfer-Learning 5-Methyluridine (mInternational journal of molecular sciences · 2022Article
- Elucidating the Functions of Non-Coding RNAs from the Perspective of RNA Modifications.Non-coding RNA · 2021Review
- m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.Nucleic acids research · 2021Article
- The functional roles, cross-talk and clinical implications of m6A modification and circRNA in hepatocellular carcinoma.International journal of biological sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe analysis and comparison of RNA m
resultsSeveral normalizing or correcting methods were tested to remove such laboratory bias. And m6Acorr, an effective pipeline for correcting m
conclusionm6Acorr was established to correct the existing laboratory bias in RNA 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.