ImmunomeBrowser

ImmunomeBrowser maps and aggregates peptide-level immunological data onto reference protein sequences to compute and visualize Response Frequency scores and estimated confidence intervals for identifying regions of dominant immune response.

Key Features:

• Data Aggregation: Aggregates user-provided peptide sets with associated response data and maps them onto a user-provided protein reference sequence.
• Heterogeneous Dataset Integration: Integrates epitope datasets derived from MHC ligand elution, MHC binding, and B/T cell epitope screening experiments.
• Visualization and Analysis: Generates aggregated tables and figures representing Response Frequency scores and estimated confidence intervals to delineate boundaries of dominant immune responses.
• User-Provided Dataset Compatibility: Extends functionality beyond IEDB query outputs to accommodate user-provided datasets.

Scientific Applications:

• Epitope Mapping: Identifies the spatial distribution of immune responses across protein sequences to support epitope mapping studies.
• Vaccine Design: Highlights immunodominant regions via Response Frequency scoring to inform antigen selection for vaccine development.
• Autoimmunity Research: Enables analysis of protein regions associated with autoimmune responses through aggregated epitope data.
• Immune Response Profiling: Facilitates comparative profiling of B cell and T cell responses across proteins and experiments.

Methodology:

Maps user-provided peptide sets onto reference protein sequences and computes Response Frequency scores with estimated confidence intervals using a customized application of the Immune Epitope Database’s (IEDB) ImmunomeBrowser framework.