EpiMOLAS

EpiMOLAS performs genome-wide DNA methylation analysis from whole-genome bisulfite sequencing (WGBS) data and integrates methylation summaries with gene annotation databases to support epigenomic interpretation.


Key Features:

  • Integrated WGBS workflow: Uses Galaxy workflows to process raw WGBS data, calculate methylation levels, and generate mtable summary files.
  • Containerization (DocMethyl): Encapsulates the computational environment in a Docker image named DocMethyl to manage software dependencies and preserve execution environments.
  • EpiMOLAS_web data integration: Links mtable files with gene annotation databases to enable genomic-context analyses of methylation patterns.
  • Reproducibility: Combines standardized workflows and containerization to enable reproducible analyses of user-generated and public WGBS datasets.

Scientific Applications:

  • Epigenomic profiling: Enables genome-wide characterization of DNA methylation landscapes from WGBS data.
  • Gene regulation studies: Supports investigation of DNA methylation roles in gene regulation by integrating methylation summaries with gene annotations.
  • Developmental epigenetics: Supports analyses of methylation dynamics during development.
  • Disease epigenetics: Supports identification and interpretation of disease-associated methylation changes and epigenetic contributions to complex traits and conditions.

Methodology:

Two-phase approach: Phase 1 uses Galaxy workflows within the Docker container DocMethyl to process raw WGBS data, calculate methylation levels, and generate mtable files; Phase 2 uploads mtable files to the EpiMOLAS_web server for integration with gene annotation databases and downstream analysis.

Topics

Details

License:
MIT
Tool Type:
web application
Programming Languages:
Java
Added:
1/18/2021
Last Updated:
3/8/2021

Operations

Publications

Su S, Lu I, Cheng W, Chung W, Chen P, Ho J, Chen S, Lin C. EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis. BMC Genomics. 2020;21(S3). doi:10.1186/s12864-019-6404-8. PMID:32241255. PMCID:PMC7114791.

PMID: 32241255
PMCID: PMC7114791
Funding: - Ministry of Science and Technology, Taiwan: MOST107-2321-B-002-057, MOST108-2314-B-001-002, MOST108-2321-B-037-001, MOST108-2321-B-038-003 - Institute of Information Science, Academia Sinica: flagship program - Institute of Information Science Academia Sinica: flagship program

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