Example gallery¶
Browse live charts and Python source, or try a notebook workflow. The user guide teaches the grammar they use.
Association plots¶
Manhattan plots and brush-linked views of genome-wide associations.
Differential analysis¶
Differential-effect views such as volcano and MA plots.
Regulatory model interpretation¶
PISA effects and DynSeq contribution scores for interpreting regulatory models.
Multi-track genome browsers¶
Compose signal, sequence, and annotation tracks on a shared genomic axis.
Read alignments and RNA splicing¶
BAM alignments, direct-RNA reads, coverage, and splice-junction views.
Genome annotations¶
Cytobands, regulatory intervals, and gene annotations from GFF3 and RefSeq.
Sequences, alignments, and logos¶
Reference sequences, reading frames, multiple-sequence alignments, and logos.
Mutation position plots¶
Mutation-position views such as lollipop, rainfall, and variant tracks.
Oncoprints and cohort summaries¶
Cohort-level alteration matrices and related summaries.
Copy-number plots¶
Genome-wide copy-number and allele-specific signal views.
Set intersections¶
Set-membership combinations and intersection-size summaries.
Basic charts and composition¶
Marks, encodings, transforms, layering, and chart composition.
Interaction and exploration¶
Brushing, zoom-dependent displays, scrolling, and dense-data exploration.
Interactive workflows¶
Try these demos in your browser, or download a notebook to use the results in Python.
Save named regions to an annotation track and export BED.
Brush a volcano plot and export the selected genes.
Click or Shift-click points to collect selected gene records.
Choose nucleotides in a letter grid and compare with the reference.