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

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