m6AnetAnalyzer: an R toolkit for post-processing of m6A sites detected by m6Anet.

Area of Science:

• Bioinformatics
• Computational Biology
• Epigenetics

Background:

• N6-methyladenosine (m6A) is a crucial RNA modification involved in various biological processes.
• Accurate analysis of m6A modification sites and their functional implications is essential for understanding gene regulation.
• Existing tools may lack comprehensive features for post-processing and interpreting site-level m6A predictions.

Purpose of the Study:

• To introduce m6AnetAnalyzer, an R package designed for streamlined post-processing and interpretation of m6A predictions.
• To enable comprehensive summarization and functional annotation of m6A modification patterns.
• To facilitate the integration of m6A data with gene expression for a deeper understanding of transcriptional regulation.

Main Methods:

• Development of an R package, m6AnetAnalyzer, utilizing R programming language.
• Implementation of functions for summarizing m6A distributions across various genomic and transcriptomic features.
• Integration of statistical methods for quantifying differential m6A methylation and linking it with gene expression data.

Main Results:

• m6AnetAnalyzer provides tools to summarize m6A distributions across transcripts, genes, biotypes, and regions.
• The package enables functional annotation using BED files and built-in datasets (e.g., RNA-binding proteins, SNPs).
• Quantification of condition-specific m6A changes and integration with differential gene expression data are supported.

Conclusions:

• m6AnetAnalyzer offers a robust platform for the comprehensive analysis of site-level m6A predictions.
• The package facilitates the investigation of m6A's role in transcriptional regulation by linking methylation patterns with expression changes.
• m6AnetAnalyzer is freely available and compatible with major operating systems, promoting accessibility for researchers.