MethylCoder

MethylCoder processes bisulfite-treated sequencing reads to generate per-base DNA methylation calls for epigenetic analyses.


Key Features:

  • Per-Base Methylation Data Generation: Produces precise per-base methylation information from bisulfite-treated reads.
  • Alignment Flexibility: Supports two distinct short-read aligners for mapping bisulfite-converted reads.
  • Handling Complex Alignments: Manages soft-masked alignments and overlapping paired-end reads to improve mapping accuracy.
  • Output Formats: Exports methylation results in text and binary formats and writes final alignments in SAM format.
  • Methylation Context and Levels: Determines methylation context (CG/CHG/CHH) and reports methylation levels.
  • Coverage and C-T Conversion Reporting: Provides comprehensive coverage data and C-T conversion information essential for bisulfite analysis.
  • Performance Efficiency: Optimized for competitive speed and memory usage for large-scale methylation analyses.

Scientific Applications:

  • Epigenetic profiling: Generates detailed methylation maps to support studies of epigenetic variation and patterns.
  • Gene regulation analysis: Enables investigation of DNA methylation roles in gene regulation mechanisms.
  • Disease-associated methylation studies: Supports analysis of aberrant methylation in disease contexts such as cancer.

Methodology:

Processes bisulfite-treated reads through alignment using selected short-read aligners, handles soft-masked and overlapping paired-end alignments, and analyzes C-T conversions to determine methylation context (CG/CHG/CHH), methylation levels, and coverage; outputs include text/binary methylation files and SAM alignments.

Topics

Details

License:
BSD-3-Clause
Maturity:
Mature
Tool Type:
workflow
Operating Systems:
Linux, Mac
Programming Languages:
Python, C
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Pedersen B, Hsieh T, Ibarra C, Fischer RL. MethylCoder: software pipeline for bisulfite-treated sequences. Bioinformatics. 2011;27(17):2435-2436. doi:10.1093/bioinformatics/btr394. PMID:21724594. PMCID:PMC3157921.

Documentation