GenomeSpy for Python
Interactive genomic visualization with GenomeSpy, using Altair-style Python syntax.
Made with genome-spy-pythonExplore the gallery
GFF3 gene annotations
Ovarian cancer GISTIC landscape
Manhattan plot
RNA-seq volcano plot
PIK3CA mutation lollipop plot
Multiple sequence alignment
Interactive purity and ploidy fitting
Heatmap
RNA-seq MA plot
Candidate regulatory elements
BAM read alignments
Brush-linked Manhattan plot
Oncoplot with pathways and clinical tracks
Variant classifications
Reference and alternate allele contributions
Chromosome ideogram
Allele-specific copy-number profile
Genome browser from imported charts
Lung cancer oncoprint
Structural variants and copy number
DNA sequence track
Connecting intervals
GC content with gene annotations
DNMT3A mutation lollipop plot
Brush-linked protein alignment
Mutation oncoplot
Scatter plot
Mutation rainfall plot
Drawing intervals with rules
Copy-number segmentation
Linked genome browser tracks
Splice junctions with a sashimi plot
Scrollable plot
DNA sequence logo
Six-frame translation
Gene annotations with prioritized labels
BAM coverage and read pileup
Coverage and interval pileup
Positive and negative bars
Zoom-adaptive allele contributions
Points that grow when zooming
Heatmap with zoomable values
genome-spy-python builds validated GenomeSpy specifications from Python chart definitions. Display them in notebooks or web pages with chromosome-aware zooming and panning. The GenomeSpy documentation describes the underlying grammar in full.
Getting started
Install the library and build your first interactive chart.
User guide
Learn the marks, encodings, composition, and genomic axes.
Gallery
Browse interactive, genomics-native examples with source code.
API reference
Detailed reference for the public Python API.
Interactive workflows
Annotate genomic intervals or select genes for follow-up—in your browser or a notebook.