ePlatypus

ePlatypus provides integrated computational analysis of adaptive immune repertoires and single-cell immunogenomics to interrogate B and T cell clonal selection and related immunological phenomena.

Key Features:

• Adaptive immune repertoire analysis: Implements analysis of adaptive immune repertoires to identify B and T cell clonal selection signatures.
• Single-cell sequencing integration: Integrates single-cell sequencing data to link cellular transcriptomes with receptor repertoires.
• Bioinformatics pipeline integration: Links novel and established bioinformatics pipelines for comprehensive immunogenomics analyses.
• Analytical capabilities: Supports predicting ligand-receptor interactions, structural modeling, simulations, machine learning applications, graph theory analysis, pseudotime reconstruction, spatial transcriptomics, and phylogenetic studies.

Scientific Applications:

• Immune system dynamics: Characterizing B and T cell clonal selection processes and repertoire dynamics.
• Single-cell immunogenomics: Dissecting cellular heterogeneity and linking receptor sequences to transcriptional states using single-cell sequencing and spatial transcriptomics.
• Vaccine and disease research: Investigating vaccine responses and disease mechanisms through repertoire and single-cell analyses.
• Personalized medicine and immunotherapy: Informing personalized medicine and immunotherapy strategies by profiling adaptive immune repertoires.

Methodology:

Integrates single-cell sequencing data and applies predicting ligand-receptor interactions, structural modeling, simulations, machine learning applications, graph theory analysis, pseudotime reconstruction, spatial transcriptomics analysis, and phylogenetic studies.