RainBio

RainBio visualizes proportional relationships among gene or protein sets to quantify intersections and similarities for comparative bioinformatics analyses.

Key Features:

• Proportional visualization: Produces proportional visualizations of set intersections to represent relative sizes among gene or protein sets.
• Set capacity: Compares up to 15 sets simultaneously.
• Precision for small sets: Provides precise proportional visualizations for up to six sets.
• Rainbow boxes adaptation: Adapts the rainbow boxes technique originally intended for small datasets to larger set visualization.
• Element aggregation: Aggregates elements to reduce complexity when scaling visualizations to many sets.
• Intersection clustering: Uses intersection clustering to organize and summarize shared elements across sets.
• Venn/Euler comparison: Addresses limitations of traditional Venn and Euler diagrams, which are restricted to six sets and become challenging to interpret beyond four sets.
• File format compatibility: Supports the same file format used by InteractiVenn.
• Intersection emphasis: Highlights the sizes of main intersections and similarities between biological datasets.

Scientific Applications:

• Comparative set analysis: Quantifies overlaps and similarities among multiple gene or protein sets for comparative bioinformatics studies.
• Large-scale set comparison: Enables analysis of complex relationships when comparing up to 15 biological datasets.
• Empirical use cases: Has been applied to datasets containing 5, 6, and 12 sets.
• User-study validation: A comparative study with 30 biology students reported reduced errors on a six-set dataset and a majority preference for RainBio over traditional Venn diagrams.

Methodology:

Adapts rainbow boxes with element aggregation and intersection clustering to generate proportional visualizations, yielding precise proportionality for up to six sets and scalable summaries up to 15 sets.