PyOncoPrint

PyOncoPrint generates OncoPrint visualizations of genetic variants across multiple samples to support analysis in cancer genomics and interpretation of sequencing data.

Key Features:

• Integration with Python Pipelines: Generates OncoPrints directly from Python-based variant analysis pipelines and accepts variant data inputs for cohort-level visualization.
• Utilization of Matplotlib: Uses Matplotlib for rendering, providing programmatic control over plot elements and customization of visual representations.

Scientific Applications:

• Visualization of genetic alterations: Visualize complex datasets of genetic alterations across multiple samples in cancer genomics studies.
• Comparative variant analysis: Compare and contrast variant patterns across samples or studies to identify recurring alterations.
• Sequencing data interpretation: Support interpretation of sequencing data through compact OncoPrint representations that summarize sample-wise variant status.

Methodology:

Generates OncoPrint plots from variant data within Python workflows using Matplotlib for rendering and customization.