immuneREF

immuneREF performs reference-based comparison of adaptive immune receptor repertoires, quantifying similarity across B and T cell receptors and associated transcriptomes to investigate immune responses across health and disease.

Key Features:

• Quantitative multidimensional measure: Integrates multiple repertoire features and transcriptomes to produce a quantitative similarity metric for adaptive immune repertoires.
• Cross-referencing with simulated and experimental datasets: Compares repertoires to both simulated and experimental datasets to improve interpretation of repertoire variation.

Scientific Applications:

• Discrimination between health and disease states: Detects differences in immune repertoires between healthy and diseased individuals and can reveal cases where blood-derived repertoires from healthy subjects resemble certain disease states.
• Population-wide studies: Enables analysis of immune repertoire similarity across populations and immune states, demonstrated on over 2,400 datasets encompassing healthy, autoimmune, and infectious conditions.

Methodology:

Performs reference-based comparison to quantify repertoire similarity landscapes across health and disease by integrating multiple repertoire features and transcriptomes and cross-referencing simulated and experimental datasets.