BatMeth2
BatMeth2 performs indel-sensitive alignment and methylation calling of bisulfite sequencing (BS-Seq) reads to generate single-base-resolution DNA methylation profiles across genomes.
Key Features:
- Indel-Sensitive Mapping: An advanced algorithm aligns bisulfite-treated reads with high precision in the presence of variable-length insertions and deletions relative to a reference genome.
- Comprehensive Methylation Analysis: Calculates methylation levels at individual cytosines and across broader genomic or functional regions, including genes and transposable elements.
- Integrated Annotation and Visualization: Includes programs that provide detailed annotation of methylation data and enable visualization of methylation patterns.
- DMC/DMR Identification: Supports identification of differentially methylated cytosines and regions (DMCs/DMRs) for downstream epigenetic analysis.
Scientific Applications:
- Epigenomic profiling in eukaryotes: Enables single-base-resolution studies of DNA methylation to investigate functional regulatory mechanisms in eukaryotic organisms.
- Study of genomic variation effects: Improves methylation calling accuracy in regions adjacent to indels, supporting analyses of how genomic variation impacts epigenetic state.
- Development and disease research: Facilitates detection and characterization of methylation changes associated with development and disease processes.
Methodology:
Indel-sensitive alignment of bisulfite-treated reads; computation of methylation levels at single loci and across genes and transposable elements; integrated annotation and visualization modules; validation using simulated and real datasets.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R
- Added:
- 6/22/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Zhou Q, Lim J, Sung W, Li G. An integrated package for bisulfite DNA methylation data analysis with Indel-sensitive mapping. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-018-2593-4. PMID:30669962. PMCID:PMC6343306.
PMID: 30669962
PMCID: PMC6343306
Funding: - Fundamental Research Funds for the Central University: 2662017PY116
- National Natural Science Foundation of China: 31771402
Documentation
Downloads
Links
Issue tracker
https://github.com/GuoliangLi-HZAU/BatMeth2/issues