BiSeq

BiSeq analyzes targeted and reduced-representation bisulfite sequencing (RRBS) data to detect differentially methylated regions (DMRs) and characterize DNA methylation patterns across conditions.

Key Features:

• Supported data types: Operates on targeted bisulfite sequencing and reduced-representation bisulfite sequencing (RRBS) data.
• Alignment requirement: Requires already aligned bisulfite sequencing data from one or multiple samples.
• Differential methylation analysis: Implements an algorithm to identify differentially methylated regions (DMRs) by focusing on regions rather than single CpG sites.
• Statistical approach: Tests individual CpG sites first and then assesses regions based on transformed CpG-wise P-values.
• Comparative evaluation: Was evaluated alongside eight other methods using simulated and real data, demonstrating sensitivity and specificity performance.
• Performance benchmarking: Reported to outperform alternative approaches such as Global Test and RADMeth/z-test in comparative analyses.

Scientific Applications:

• Epigenetic studies: Identification of DMRs to investigate DNA methylation patterns and epigenetic regulation.
• Tissue development and disease research: Comparative methylation analysis across conditions to study roles of methylation in tissue development and disease biology.
• Gene regulation investigations: Characterization of methylation changes that may influence gene expression and cellular function.

Methodology:

Operates on aligned bisulfite sequencing data, tests individual CpG sites, transforms CpG-wise P-values and assesses regions based on those transformed P-values; evaluation used simulated and real data in a comparative study.