Gallery#
Every figure below is a composable visualization built in Python with Marsilea and Matplotlib: complex annotated heatmaps, oncoprints, UpSet plots, sequence logos, sequence alignments, genome tracks, arc diagrams and single-cell figures. Each example ships the full script, so you can download it and swap in your own data.
Basics#
All Plotters#
Examples of all available plotters in Marsilea.
Real World Data Visualization#
Publication-ready figures made with Marsilea from real datasets: an oncoprint of TCGA breast cancer mutations, an UpSet plot of IMDB movie genres, single-cell RNA-seq and multi-omics panels, a multiple sequence alignment, genome tracks and more. Each page includes the complete, runnable script.
Bivariate distribution plot in Python (joint plot with marginals)
Cross-layout stacked bar chart in Python: fat in cooking oils
Significance annotation in Python (p-value brackets)
