WGBSSuite

WGBSSuite simulates single-base resolution, genome-wide DNA methylation data to benchmark and evaluate statistical methods for differential methylation analysis.

Key Features:

• Flexible simulation capabilities: Generates single-base resolution, genome-wide DNA methylation data to represent a wide range of experimental setups.
• Parameter customization: Allows customization of simulator parameters based on real datasets provided by users.
• Benchmarking utility: Enables benchmarking and comparison of statistical methods for differential methylation analysis and detection of differentially methylated regions (DMRs).
• Stochastic modeling: Employs stochastic modeling to produce realistic methylation patterns and variability.

Scientific Applications:

• Method benchmarking: Validation and comparison of statistical methods for differential methylation analysis.
• DMR evaluation: Testing and benchmarking algorithms for identification of differentially methylated regions associated with genetic disorders.
• Cancer epigenetics: Simulating methylation data to assess methods used in cancer-related methylation studies.
• Developmental and epigenetic studies: Supporting analyses relevant to developmental biology and epigenetic regulation.

Methodology:

Uses stochastic modeling to generate realistic DNA methylation datasets and accepts parameters derived from actual experimental data to replicate specific conditions.