In reduced representation bisulfite sequencing (RRBS), genomic DNA is digested with the restriction enzyme and then subjected to next-generation sequencing, which enables detection and quantification of DNA methylation at whole-genome scale with low cost. However, the data processing, interpretation, and analysis of the huge amounts of data generated pose a bioinformatics challenge. We developed RRBS-Analyser, a comprehensive genome-scale DNA methylation analysis server based on RRBS data. RRBS-Analyser can assess sequencing quality, generate detailed statistical information, align the bisulfite-treated short reads to reference genome, identify and annotate the methylcytosines (5mCs) and associate them with different genomic features in CG, CHG, and CHH content. RRBS-Analyser supports detection, annotation, and visualization of differentially methylated regions (DMRs) for multiple samples from nine reference organisms. Moreover, RRBS-Analyser provides researchers with detailed annotation of DMR-containing genes, which will greatly aid subsequent studies. The input of RRBS-Analyser can be raw FASTQ reads, generic SAM format, or self-defined format containing individual 5mC sites. RRBS-Analyser can be widely used by researchers wanting to unravel the complexities of DNA methylome in the epigenetic community. RRBS-Analyser is freely available at http://220.127.116.11/RRBSAnalyser/.
Keywords: RRBS; differentially methylated region; epigenetics; methylation; next-generation sequencing.
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