CoMut

CoMut visualizes the co-occurrence of genetic variants and associated phenotypic information across patient cohorts using comutation plots for large-scale sequencing studies.

Key Features:

• Customizable comutation plots: Creates comutation plots that represent co-occurrence of variants and phenotypic annotations with configurable visual elements.
• Versatile data handling: Accepts categorical and continuous data and supports inclusion of bar graphs, side bar graphs, and data describing relationships between samples.
• Object-oriented Python implementation: Implemented as a stand-alone, object-oriented Python library for programmatic construction of figures.
• Publication-quality output: Generates figures intended for incorporation into scientific publications.

Scientific Applications:

• Variant co-occurrence analysis: Visualizes patterns of genetic variant co-occurrence across patient cohorts.
• Integrative genomics: Integrates genomic and phenotypic data for interpretation of large-scale sequencing studies.
• Figure generation for manuscripts: Produces high-resolution comutation plots for publication and presentation of cohort-level results.

Methodology:

Implemented as an object-oriented Python library that constructs comutation plots from categorical and continuous inputs and assembles bar graphs, side bar graphs, and inter-sample relationship annotations.