TRACE-RRBS

TRACE-RRBS optimizes analysis of Reduced Representation Bisulfite Sequencing (RRBS) data by aligning bisulfite-treated reads to a digitally digested reference genome and removing artificial cytosines introduced during the end repair step to improve DNA methylation quantification.

Key Features:

• Targeted Alignment: Aligns bisulfite-treated sequence reads to a digitally digested reference genome representing regions enriched by the RRBS protocol.
• Artificial Cytosine Elimination: Identifies and removes artificial cytosines introduced during the end repair step of library preparation to reduce contamination in methylation calls.
• Performance Efficiency: Demonstrates improved speed, sensitivity, and specificity on simulated and real datasets and produces more unique alignments than comparator tools.
• Correlation with 450 K microarray data: Produces high correlation with 450 K microarray data in validation analyses.
• Accuracy Enhancement: Removal of artificial cytosines increases correlation between nearby CpGs and improves reliability of methylation quantification.

Scientific Applications:

• High-resolution DNA methylation profiling: Generates single-base-resolution methylation data from RRBS for analyses of DNA methylation patterns.
• Epigenetic studies of gene regulation: Supports investigation of methylation-associated regulation of gene expression.
• Developmental epigenetics: Applicable to studies of methylation dynamics during development.
• Disease mechanism studies: Enables analysis of methylation alterations relevant to disease mechanisms.
• Environmental epigenomics: Facilitates studies of environmental influences on the genome via DNA methylation changes.

Methodology:

Aligns bisulfite sequencing data to a digitally digested reference genome targeting RRBS-enriched regions, followed by specific removal of artificial cytosines introduced during the end repair step of library preparation; performance was evaluated on simulated and real datasets and compared to 450 K microarray data.