4. CpG_density_gene_centered
4.1. Overview
CpG_density_gene_centered generates a transcript-oriented CpG density
profile across three gene-centered regions:
upstream of the transcription start site (TSS)
gene body from TSS to transcription end site (TES)
downstream of the TES
Each region is normalized into bins by CpGtools’ density calculation (currently 100 bins per region), producing a 5’-to-3’ metagene profile.
Upstream and downstream extensions are constrained by neighboring genes, so the actual flanking regions may be shorter than the requested maximum.
4.2. Input Files
4.2.1. CpG file
The CpG input must be BED3 or BED3+ and contain genomic CpG positions.
Example:
chr1 10847 10848
chr1 10849 10850
chr1 15864 15865
Compressed input is supported by the CpGtools reader.
4.2.2. Reference gene model
The reference gene model must be BED6+ and include strand information so that TSS, TES, upstream, and downstream directions can be determined.
4.3. Usage
Basic usage:
CpG_density_gene_centered \
-i 850K_probe.hg19.bed3.gz \
-r hg19.RefSeq.union.bed.gz \
-o CpG_density
Useful options include:
-u,--upstream– maximum upstream extension from the TSS in bp (default: 2000)-d,--downstream– maximum downstream extension from the TES in bp (default: 2000)-c,--min_gene_size,--SizeCut– minimum transcript span from TSS to TES (default: 200 bp)--format {png,pdf,both}– plot output format (default:pdf)--dpi– PNG resolution (default: 300)--width– plot width in inches (default: 10)--height– plot height in inches (default: 5)--no_plot– write the density table without generating a plot-o,--out_prefix,--output– output prefix
Display all options with:
CpG_density_gene_centered -h
4.4. Output
For output prefix CpG_density, the command always writes:
CpG_density.CpG_density.tsv– normalized CpG density profile
The table contains:
Group–Upstream,GeneBody, orDownstreamPosition– normalized bin position within the regionCpG_count– CpG count for that bin
Unless --no_plot is used, the command also writes one or more plots:
CpG_density.CpG_density.pdfCpG_density.CpG_density.png
Use --format both to generate both plot formats.
4.5. Example Data
4.6. Example Figure