CGmapTools

CGmapTools provides methods to detect heterozygous single nucleotide variations (SNVs) and analyze allele-specific DNA methylation from bisulfite-sequencing data.

Key Features:

• Enhanced precision for heterozygous SNV calls: Implements the BayesWC and BinomWC statistical methods to improve precision of heterozygous SNV calls from bisulfite-converted sequences while maintaining comparable recall and addressing partial C-to-T conversions.
• Allele-specific methylation (ASM) analysis: Detects and visualizes allele-specific DNA methylation patterns on sequencing reads.
• Dynamic fragment strategy for DMR analysis: Employs a dynamic fragment strategy to identify differentially methylated regions from low-coverage data and has been applied to public cancer datasets to reveal DMRs associated with genes involved in tumorigenesis.
• Comprehensive methylome analysis suite: Integrates approximately 40 applications for context-wise, gene-wise, bin-wise, region-wise, and sample-wise DNA methylome analyses.
• Data formats and performance: Uses the CGmap format and binary formats to reduce file size and enable rapid data retrieval.
• Visualization capabilities: Provides visualization tools for methylation status on reads to interpret complex methylation patterns.

Scientific Applications:

• Epigenetics research: Enables study of gene silencing and imprinting mechanisms in plant and animal models via methylation and ASM analyses.
• Cancer epigenomics: Facilitates discovery of DMRs in cancer datasets and investigation of their association with tumorigenesis-related genes.
• Genetic variation and epigenetic interaction studies: Supports accurate heterozygous SNV detection from bisulfite sequencing and exploration of allele-specific epigenetic modifications.

Methodology:

Applies BayesWC and BinomWC statistical methods for SNP calling from bisulfite-converted sequences and a dynamic fragment strategy for DMR detection, with data stored in CGmap and binary formats for efficient retrieval.