bio-data-visualization-sequence-logos
Version Compatibility
Reference examples tested with: ggseqlogo 0.2 (CRAN; per Wagih 2017), Logomaker 0.8+ (Python), WebLogo 3.7+ (CLI), Biopython 1.83+ (motif parsing), MEME suite 5.5+.
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures - R:
packageVersion('<pkg>')then?function_name
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Sequence Logos
"Plot a sequence motif" -> Render a per-position stack of letters whose total height encodes information content (Schneider-Stephens 1990 Nucleic Acids Res 18:6097) and individual letter height is proportional to base/aa frequency. The information-content encoding makes conserved positions visually tall and variable positions visually short — the visual is the conservation profile.
- R:
ggseqlogo::ggseqlogo(Wagih 2017 Bioinformatics 33:3645) - Python:
logomaker.Logo - CLI:
weblogo(Crooks 2004 Genome Res 14:1188)