CRUSTY

CRUSTY performs rapid analysis and visualization of high-dimensional flow cytometry (FCM) data to identify cellular subpopulations and molecular biomarkers for tumour and immune studies.

Key Features:

• High-dimensional FCM analysis: Performs analysis and visualization of high-dimensional flow cytometry data encompassing multiple parameters per cell.
• Scalability: Processes data from millions of cells across numerous specimens.
• Algorithm integration: Integrates popular and established algorithms for flow cytometry data analysis.
• Subpopulation and biomarker detection: Enables identification of novel cellular subpopulations and molecular biomarkers within complex datasets.
• Output generation: Produces graphical and tabular results and automatically generates publication-quality figures.
• Rapid processing: Delivers rapid computational analysis to accelerate data exploration and interpretation.

Scientific Applications:

• Tumour and immune profiling: Supports tumour and immune analysis by identifying cell populations relevant to cancer and immune studies.
• Immunology: Facilitates phenotyping and monitoring of immune cell populations.
• Oncology: Enables cellular phenotyping and biomarker discovery in oncology datasets.
• Cellular biology: Assists in dissecting cellular heterogeneity and phenotype characterization in cellular biology studies.
• Biomarker discovery: Supports discovery of molecular biomarkers from complex FCM datasets.

Methodology:

Integration of popular and established algorithms for flow cytometry data analysis with automated generation of graphical and tabular outputs and publication-quality figures for visualization of high-dimensional FCM datasets.