msPIPE

msPIPE performs end-to-end analysis of whole-genome bisulfite sequencing (WGBS) data to generate DNA methylation profiles, compute methylation levels in annotated genomic regions, and identify hypomethylated and differentially methylated regions.


Key Features:

  • Comprehensive Workflow: Performs end-to-end processing of WGBS data from initial pre-processing to downstream methylation analyses.
  • Methylation Profiling: Generates detailed methylation profiles and statistical summaries and calculates methylation levels within functional genomic regions using annotations.
  • Advanced Analysis Capabilities: Supports hypomethylation analysis and differential methylation analysis to identify significant methylation changes across conditions or sample types.
  • Visualization Tools: Produces publication-quality figures representing methylation profiles and analysis results.

Scientific Applications:

  • Gene regulation studies: Enables analysis of DNA methylation patterns relevant to transcriptional regulation.
  • Biomarker identification: Supports discovery of methylation-based biomarkers for disease or phenotype association studies.
  • Epigenetics in development and environment: Facilitates investigation of methylation changes involved in development and environmental responses.

Methodology:

Connects WGBS pre-processing steps to downstream analyses including methylation profiling, statistical summaries, calculation of methylation levels in annotated regions, hypomethylation analysis, differential methylation analysis, and visualization.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl, Python
Added:
11/12/2022
Last Updated:
11/24/2024

Operations

Publications

Kim H, Sim M, Park N, Kwon K, Kim J, Kim J. msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04925-2. PMID:36123620. PMCID:PMC9487059.

PMID: 36123620
PMCID: PMC9487059
Funding: - Ministry of Science and ICT of Korea Grant: 2021M3H9A2097134, NRF-2014M3C9A3063544 - Ministry of Education of Korea Grant: NRF-2019R1F1A1042018 - Rural Development Administration of Korea Grant: PJ01334302

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