methylplotter

Plot methylation from haplotype-phased BED files.

What It Does

• Parses ONT/PacBio BED-like methylation files
• Filters records to a genomic region
• Applies sliding-window smoothing to % modified (point-based window)
• Draws publication-ready line plots for one or more samples
• Annotates genes and optional vertical marker lines
• Auto-detects methylation percent column per file by platform, with manual override

Installation

python -m pip install methylplotter

Install from the local checkout instead:

python -m pip install .

For development with tests:

python -m pip install -e '.[test]'

CLI Usage

methylplotter \
  --platform ont \
  --bed sampleA.bed --bed sampleB.bed \
  --sample sampleA --sample sampleB \
  --gene chr15:80143550-80197576:FAH \
  --region chr15:80150000-80200000 \
  --line breakpoint,80170000 \
  --window_size 20 \
  --min_points_for_smooth 3 \
  --verbose \
  --output methylation_plot

Equivalent module invocation:

python -m methylplotter --platform ont ...

Notes:

• --window_size is a number of rows/points, not base pairs
• By default, methylation percent column is auto-detected per input file (ont prefers index 10, pb prefers index 3)
• Use --percent_col <index> to force one column across all input files
• --verbose prints per-sample row counts, smoothed point counts, and the chosen percent column
• If --output has no extension, both PNG and SVG are written

Test Data

Synthetic test data is bundled in tests/data/:

• ont_sample_a.bed
• ont_sample_b.bed
• pb_sample_a.bed

These are minimal fixtures for parser/smoother/plot tests, not biological reference datasets.

Run Tests

PYTHONPATH=src pytest