ArticleGigaScience2018
m6ASNP: a tool for annotating genetic variants by m6A function.
Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- The Role ofBiomolecules · 2025Review
- Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.Human genomics · 2024Article
- Variable calling of m6A and associated features in databases: a guide for end-users.Briefings in bioinformatics · 2024Review
- Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors.bioRxiv : the preprint server for biology · 2024Article
- Epitranscriptomics in the development, functions, and disorders of cancer stem cells.Frontiers in oncology · 2023Review
- RNA Epigenetics in Chronic Lung Diseases.Genes · 2022Review
- Article
- The roles of RNA NHeliyon · 2022Review
- Association of N6-methyladenosine readers' genes variation and expression level with pulmonary tuberculosis.Frontiers in public health · 2022Article
- Dynamic regulation and key roles of ribonucleic acid methylation.Frontiers in cellular neuroscience · 2022Review
- MFrontiers in genetics · 2022Article
- The emerging therapeutic target of dynamic and reversible N6-methyladenosine modification during cancer development.Frontiers in oncology · 2022Review
- Epitranscriptomics of cardiovascular diseases (Review).International journal of molecular medicine · 2022Review
- Recent advances in functional annotation and prediction of the epitranscriptome.Computational and structural biotechnology journal · 2021Review
- NG-Circos: next-generation Circos for data visualization and interpretation.NAR genomics and bioinformatics · 2020Article
- Implication of m6A mRNA Methylation in Susceptibility to Inflammatory Bowel Disease.Epigenomes · 2020Article
- mCancer cell · 2020Review
- Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods.Evolutionary bioinformatics online · 2020Article
- mFrontiers in cell and developmental biology · 2020Article
- Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics.Computational and structural biotechnology journal · 2020Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Large-scale genome sequencing projects have identified many genetic variants for diverse diseases. A major goal of these projects is to characterize these genetic variants to provide insight into their function and roles in diseases. N6-methyladenosine (m6A) is one of the most abundant RNA modifications in eukaryotes. Recent studies have revealed that aberrant m6A modifications are involved in many diseases. Findings: In this study, we present a user-friendly web server called "m6ASNP" that is dedicated to the identification of genetic variants that target m6A modification sites. A random forest model was implemented in m6ASNP to predict whether the methylation status of an m6A site is altered by the variants that surround the site. In m6ASNP, genetic variants in a standard variant call format (VCF) are accepted as the input data, and the output includes an interactive table that contains the genetic variants annotated by m6A function. In addition, statistical diagrams and a genome browser are provided to visualize the characteristics and to annotate the genetic variants. Conclusions: We believe that m6ASNP is a very convenient tool that can be used to boost further functional studies investigating genetic variants. The web server "m6ASNP" is implemented in JAVA and PHP and is freely available at [60].
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