UpSetR

UpSetR visualizes intersections among sets using a scalable matrix-based representation to quantify set sizes and intersection properties for bioinformatics analyses.

Key Features:

• Scalability: Handles large numbers of sets and intersections for analysis of complex datasets.
• Matrix-Based Visualization: Represents sets and their intersections in a matrix format that delineates intersection membership patterns.
• Quantitative Representation: Computes and displays sizes of sets and their intersections along with additional intersection properties.

Scientific Applications:

• Genomics: Visualizes complex relationships between genomic datasets or lists of genomic entities.
• Proteomics: Visualizes overlaps and intersections among protein datasets or identification lists.
• Systems Biology: Visualizes intersecting component sets to explore relationships among biological entities or datasets in systems-level analyses.

Methodology:

Transforms set intersection data into a matrix where rows represent individual sets and columns indicate intersections, and computes and displays intersection sizes and other properties.