MethHaplo
MethHaplo identifies DNA methylation haplotype regions by integrating allele-specific DNA methylation and single nucleotide polymorphism (SNP) data from whole-genome bisulfite sequencing (WGBS) to enable haplotype-level analysis of epigenetic variation affecting gene expression, histone modification, and three-dimensional chromosome structure.
Key Features:
- Integration of Epigenetic and Genetic Data: Combines allele-specific DNA methylation patterns with SNPs from WGBS to identify methylation haplotypes and recover longer haplotypes than SNPs alone.
- Incorporation of Hi-C Data: Integrates high-throughput chromosome conformation capture (Hi-C) data to extend identified haplotype regions and relate methylation haplotypes to three-dimensional chromatin organization.
- Methylation Haplotype Construction across Cell Lines: Constructs detailed methylation haplotypes across various cell lines to support analyses of parental inheritance-related diseases, hybrid vigor in agriculture, and associations with therapeutic responses and disease mechanisms.
Scientific Applications:
- Genetic Research: Aids understanding of the genetic basis of complex traits and diseases by identifying longer haplotype regions linking SNPs and methylation.
- Epigenomics: Illuminates the role of DNA methylation in gene regulation and epigenetic modification at the haplotype level.
- Chromatin Architecture Studies: Enables analysis of how methylation haplotypes correlate with three-dimensional chromatin organization using Hi-C integration.
- Disease Research: Supports investigation of parental inheritance-related diseases and therapeutic response mechanisms through haplotype-resolved methylation patterns.
- Agricultural Genetics: Facilitates study of hybrid vigor and epigenetic contributions to phenotypic outcomes in agricultural species.
Methodology:
Combines allele-specific DNA methylation calls with SNP information derived from WGBS and can optionally incorporate Hi-C data to identify extended DNA methylation haplotype regions.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- C, C++, Perl, Shell, Python
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Zhou Q, Wang Z, Li J, Sung W, Li G. MethHaplo: combining allele-specific DNA methylation and SNPs for haplotype region identification. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03798-7. PMID:33045983. PMCID:PMC7552496.