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.